The best AI agent platform for sales depends on what a team needs to automate and which systems its agents must access. Last year, I hit a wall trying to scale sales as a solo consultant, so I started testing AI agents to help with prospecting, follow-ups, CRM updates, and the administrative work around every deal.
This guide compares 13 AI agent platforms, agent builders, and specialist sales tools. I evaluated them based on sales use cases, autonomy, integrations, governance, deployment, pricing, and team fit.
This guide also includes criteria for choosing a platform, a side-by-side comparison, detailed product reviews, and answers to frequently asked questions. I’ve personally used some of the products; for others, I relied on expert input, customer feedback, product documentation, and secondary research. 糖心原创 offers products included in the comparison, so I’ve also covered situations where other tools may be a better fit.
Table of Contents
- What are AI agents?
- How to Evaluate the Best AI Agent Platform for Sales
- The 13 Best AI Agent Tools and Platforms for Sales Teams
- Frequently Asked Questions About AI Agent Platforms
- Why AI Agents Are No Longer Just a Nice-to-Have
What are AI agents?
AI agents for sales complete tasks such as researching prospects, writing follow-ups, and updating CRM records. More advanced agents can use information from connected systems to decide what to do next and take permitted actions toward a defined goal.
A sales agent might identify a new lead, research the account, prepare personalized outreach, and update the contact record after engagement. The tasks it can complete depend on its integrations, permissions, and configured workflows. The term “AI agent” covers several categories of sales technology:
- AI agent platforms provide a central environment to deploy, manage, and monitor agents across multiple workflows and connected systems.
- Agent builders let teams create custom agents for specific tasks and workflows. Depending on the product, this may require little or no coding.
- Specialist sales agents handle particular parts of the sales process, such as prospecting, qualification, outreach, or follow-up.
- Chatbots primarily respond to questions or messages. Some can also complete actions, but their ability to work independently across other systems varies.
- AI point tools apply AI to narrower tasks, such as transcribing calls or improving sales emails, without necessarily managing a complete workflow.
For smaller organizations, AI agents can reduce time spent on repetitive sales tasks such as data entry, follow-up scheduling, and lead research without adding administrative demands to an already limited team.
The main distinction between an AI agent platform and a chatbot or point tool is how independently the technology can pursue a goal and what actions it can take. A chatbot may answer a question, while an agent can use information from that interaction to decide the next step and take an authorized action.
These capabilities build on established uses of generative AI in sales, including writing emails, generating summaries, and preparing sales content. The difference matters when evaluating products because some tools offer an environment for building agents across workflows, while others specialize in one part of the sales process.
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How to Evaluate the Best AI Agent Platform for Sales
The best AI agent platform for sales should fit the team’s existing systems, automate useful work, and provide appropriate oversight. Choosing an AI agent platform for sales means looking beyond its AI capabilities to understand how it handles customer data, completes tasks, and performs in everyday sales workflows.
Implementation matters, too. According to , 26% of sales leaders cited difficulty adopting new tools and processes as a top operational challenge. A platform with extensive capabilities won’t deliver much value if the team struggles to use it.
I recommend evaluating eight criteria before committing to an AI agent platform.
1. Autonomy: How much can the agent do on its own?
Start by identifying the tasks an agent can complete without someone prompting it at every step. Some tools generate recommendations or draft content, while more autonomous agents can complete multistep workflows based on defined goals.
For example, a sales agent might research a prospect, identify a relevant next step, update the CRM, and prepare a follow-up. The important question is whether the agent can carry out those actions within the boundaries your team sets.
Look for controls that determine when an agent can act independently, when it must request approval, and when a person needs to take over.
2. Integration depth: Can the agent read and update the systems your team already uses?
An integration’s existence doesn’t necessarily tell you what the agent can do with it. Some integrations provide read-only access, while others allow agents to create records, update fields, or trigger workflows.
In 贬耻产厂辫辞迟’蝉 2026 sales research, reported that AI was fully integrated with their CRM. For buyers evaluating AI agents, the next step is understanding how much of that CRM context the agent can actually use.
and take a CRM-native approach. Agent Hub is the central home for managing agents, while agent builder lets teams create custom agents and workflows using their own prompts, knowledge, and the customer data already in .
Whether you’re evaluating 糖心原创 or another platform, check exactly which records an agent can access, what changes it can make, and whether its actions appear in the systems your team already uses.
3. Governance: Can you control what the agent can access and do?
Governance determines how much control a team retains after deploying an agent. Look for permissions, approval requirements, testing tools, and records of agent activity.
These controls matter most when an agent can change customer records, send communications, or take other actions that affect prospects.
For example, 贬耻产厂辫辞迟’蝉 lets teams control which actions an agent runs on its own and test an agent before turning it live.
Ask whether your team can review an agent’s planned actions, restrict access to sensitive information, and investigate what happened when a task produces an unexpected result.
4. Memory: Can the agent use the context it needs to complete the job?
An agent needs access to relevant information to make useful decisions. For sales teams, that might include previous customer conversations, CRM records, company information, and internal documentation.
Evaluate how the platform provides that context. Can the agent retrieve information from connected systems? Can it use details from earlier interactions? Does it retain information between tasks, and can administrators control what it remembers?
Also distinguish access to current information from persistent memory. An agent that can retrieve a contact record during one task doesn’t necessarily remember that information during a later interaction.
5. Deployment: How hard is it to put the agent into a real workflow?
A working demonstration isn’t the same as a deployed sales process. Evaluate how much setup the platform requires and who on your team can manage it.
Some platforms offer no-code configuration for sales and RevOps teams. Others require developers to build integrations, define actions, or maintain infrastructure.
贬耻产厂辫辞迟’蝉 offers a no-code canvas for creating agents and workflows. Teams can run an agent on a single CRM record or add it to a workflow so it does the same work repeatedly across the team. The depth of workflow automation available depends on the 糖心原创 edition.
Before choosing a platform, identify who will build the agent, who will maintain it, and what happens when your sales process changes.
6. Pricing: What will the agent cost at your expected usage?
AI agent pricing can involve more than a monthly subscription. Compare seat licenses, platform fees, usage credits, API charges, and any additional costs associated with specific models or integrations.
For example, custom agents built with 贬耻产厂辫辞迟’蝉 agent builder consume 糖心原创 Credits each time they run. Admins can monitor credit usage by feature and set a maximum monthly credit limit to help control costs.
The best comparison is based on a realistic workflow. Estimate how often the agent will run, how many actions it will perform, and how many employees need access. A lower starting subscription price may not translate into a lower total cost.
7. Security: What happens to the data the agent can access?
Sales agents may handle contact information, customer conversations, deal records, and other business data. Before granting access, review the platform’s permissions, encryption, data-retention policies, and third-party model practices.
Check whether the vendor provides relevant security certifications and explains how it processes, stores, and shares customer information.
Pay particular attention to agents that can write information back to a CRM or communicate with customers. Their permissions should reflect the tasks they’re authorized to complete.
8. Operational durability: Can you manage the agent after deployment?
An agent that performs well in a short pilot still needs to work reliably as your team’s usage grows.
Look for ways to monitor activity, review errors, change instructions, manage permissions, and control usage costs. Consider how easily your team can update an agent when sales processes, CRM fields, or other connected systems change.
Larger organizations should also examine how enterprise AI agents support deployment, governance, and ongoing management across departments. The goal is to choose a platform your team can continue operating and improving after the initial setup.
The 13 Best AI Agent Tools and Platforms for Sales Teams
The 13 options below cover prospecting, outbound outreach, conversation intelligence, forecasting, CRM automation, and other sales workflows. Some offer platforms to build or manage agents, while others provide AI features for a specific part of the sales process.
I’ve personally used several AI agents for sales in my consulting workflows. For products I haven’t used, I drew on expert interviews, customer reviews, vendor documentation, and product research. Each entry identifies the type of tool, its primary use case, pricing, and important considerations.
1.
Agent Hub is 贬耻产厂辫辞迟’蝉 central place for managing and activating AI agents across its customer platform. is the feature within Agent Hub that lets teams create custom agents using natural-language instructions and a no-code canvas.
Together, Agent Hub and agent builder let marketing, sales, and service teams build and manage agents connected to Smart CRM data and workflows. Agents can use context from contacts, deals, and other supported records to generate outputs and complete configured actions. For teams already working in 糖心原创, this reduces the need to assemble a separate toolset around their CRM.
Key Features
- CRM-native data and actions: Agents can use information stored in Smart CRM, including relevant contact and deal data, to complete tasks based on business context.
- No-code agent creation: Agent Builder lets teams configure custom instructions, knowledge sources, and actions without building a separate application.
- Testing and guardrails: Teams can control which actions an agent runs on its own and test an agent before turning it live.
Pricing
Agent Hub and agent builder are included with eligible 糖心原创 Starter, Professional, and Enterprise subscriptions. Available features and workflow capabilities vary by edition.
Custom agents built with Agent Builder consume 糖心原创 Credits when they run. Teams can purchase credits in advance or use pay-as-you-go billing, subject to 贬耻产厂辫辞迟’蝉 current pricing terms.
Best for: Revenue teams that want to build, deploy, and manage AI agents within Smart CRM and its connected workflows.
Type: AI agent platform with built-in agents and a custom agent builder
What we like: The CRM connection is the part I’d pay attention to for sales teams. Agents can work with existing 糖心原创 context instead of requiring another system to store and manage customer information.
I also like that teams can test agents before deployment. 糖心原创 supports simulations that use CRM context without changing live records, making it easier to evaluate an agent before allowing it to act.
That combination makes Agent Hub particularly relevant to organizations already using 糖心原创. The trade-off is that its greatest advantages depend on working within the 糖心原创 ecosystem. Teams that need extensive control over models or infrastructure may prefer a developer-oriented platform. Those exploring other approaches can also look at how an OpenAI sales agent can support sales workflows.
2.
Gong records and analyzes sales conversations to identify objections, competitor mentions, deal risks, and next steps. Its AI features can generate call summaries, draft follow-ups, and surface information that helps reps and managers understand what’s happening across their deals.
Gong also integrates with CRM systems to connect conversation insights with sales activity and opportunity records. I haven’t used Gong personally, so my evaluation draws on sales professionals who use it in their workflows.
Key Features
- Conversation intelligence: Gong analyzes recorded sales calls to highlight important topics, buyer concerns, and potential coaching opportunities, including interruptions or extended rep monologues.
- AI-powered search and summaries: Teams can search transcripts, retrieve call recordings, generate summaries, and review important moments through an.
- Sales coaching and deal insights: Managers can use recorded conversations to identify patterns, review deal activity, and share examples of effective sales calls with their teams.
Best for: Sales teams that want to analyze customer conversations, improve call coaching, identify deal risks, and reduce the administrative work that follows sales meetings.
Pricing: Gong uses custom pricing that includes user-license costs and a platform fee. Teams need to contact Gong for a quote based on their requirements.
Type: Revenue intelligence platform with AI-powered sales analysis
What we like:, a sales professional at, values Gong for the time it saves after calls:
“Gong call summaries are the most helpful piece of AI so far. If I have a few back-to-back calls and do not have time to complete my notes or send a follow-up, Gong will use AI to summarize the call and remind me of next steps.”
He also described how it changed his follow-up process:
“I’ve been in sales for over ten years, and in the past, after every call, I’d jot down the notes I took and then write an email. Now, I just ask Gong for a call summary. It gives me a full recap, including pain points and next steps. I can use that to write the follow-up email and get back to the prospect much faster.”
Josh Hargett’s experience shows Gong’s value beyond call recording: it turns conversations into material reps can use for follow-ups and managers can use for coaching.
There are limitations worth considering. Some reviewers have , , and . Those are individual user experiences, not limitations that necessarily affect every deployment.
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- Control which actions run on their own
- Run it once or repeat it across your team
- Follow your playbook – not a generic one
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3.
Clay helps teams source, enrich, organize, and act on prospect data. Users can start with information such as company names, LinkedIn URLs, or job titles and add details from multiple data providers. Clay then lets teams filter, score, and route those records into sales workflows.
I’ve used Clay to build highly targeted lead lists, and of the tools I’ve tested, it’s one of the most powerful AI prospecting tools for researching and enriching prospects. I think of it as a no-code data engine for outbound sales.
Key Features
- Multi-source enrichment: Clay combines data from multiple providers through, letting teams search for information such as business email addresses, phone numbers, and company details.
- Custom prospecting workflows: Users can filter records by attributes such as job title, technologies used, or funding stage, then create automated enrichment, scoring, and routing workflows without writing code.
- AI-powered research and outbound integrations: Claygent can research companies and prospects, while Clay’s integrations can move enriched leads into outreach tools and supported CRM workflows.
Pricing
Clay offers four plans.
- Free: $0 per month, with 100 Data Credits and 500 Actions per month.
- Launch: Starts at $185 per month, with 2,500 Data Credits and 15,000 Actions per month.
- Growth: Starts at $495 per month, with 6,000 Data Credits and 40,000 Actions per month.
- Enterprise: Custom pricing, with an annual commitment.
Clay offers annual-billing discounts on paid plans. Data Credits and Actions are separate usage allowances, so teams should calculate costs based on both the data they need and the workflows they expect to run.
Type: Go-to-market platform with AI agents and workflow automation
Best for: Outbound sales and RevOps teams that want control over prospect research, lead enrichment, scoring, and data-driven outreach workflows.
What we like: Clay stands out for its flexibility., founder of prospecting platform, has also highlighted the range of use cases teams can build.
“You can combine enrichment sources, create custom logic, and automate prospect research without developing a separate system. If you’re serious about outbound and want full control over your lead sourcing, Clay is the kind of tool you can build a process around.”
That flexibility comes with a learning curve. Users have without a clear workflow, and enriched records may still . Teams will get more value from Clay when they already know which prospects they want to target and how they intend to use the resulting data.
4.
Instantly combines outbound prospecting, email outreach, and AI-assisted reply handling in one platform. Its tools can source leads from a built-in B2B database, help write personalized email sequences, categorize incoming replies, and support follow-up workflows.
From what I’ve seen, Instantly is worth evaluating when a team wants to manage more of its outbound process in one place. For teams already using Clay, Instantly’s integration can move enriched lead records into email campaigns without requiring manual CSV exports.
Key Features
- AI-assisted prospecting: Instantly’s AI Sales Agent and prospecting tools can identify leads matching a team’s ideal customer profile. Its vendor-reported database contains more than 450 million B2B contacts, with waterfall enrichment through multiple providers.
- Email sequences and personalization: AI writing tools help create outreach sequences and adapt messages for individual prospects. Paid Outreach plans include multiple sending accounts and email warm-up capabilities.
- AI reply handling: The AI Reply Agent can categorize responses and help draft follow-ups, reducing manual inbox review. Its actions consume Instantly Credits.
Pricing
Instantly’s Outreach Growth plan starts at $47 per month with monthly billing, with a lower effective monthly rate available through annual billing.
AI Sales Agent and AI Reply Agent usage draws on a separate Instantly Credits subscription, which starts at $9 per month for a limited credit allowance. The Growth Credits plan is $47 per month with monthly billing. Larger plans provide additional sending capacity, contacts, and credits.
Teams should calculate expected credit use and the Outreach subscription cost, since AI-agent activity may generate additional charges.
Type: Outbound sales platform with specialized AI agents
Best for: Sales teams that want to combine lead sourcing, outbound email campaigns, and AI-assisted reply handling, particularly teams managing outreach across multiple sending accounts.
What we like: What stood out to me while researching Instantly was the way it combines sending infrastructure with AI features for prospecting and replies. A team can build lead lists, prepare sequences, and manage responses without stitching together as many separate tools.
, an account manager at an enterprise marketing and advertising firm, describes the benefits this way:
“I like how easy Instantly makes scaling outbound reach without sacrificing deliverability or personalization. Creating sequences, customizing messaging, and managing multiple inboxes feels streamlined and efficient.”
The advantages come with a few considerations. Instantly’s AI actions consume credits, its email-focused tools don’t provide native LinkedIn sending, and reply-handling automation may require prompt configuration and review before a team can rely on it consistently.
5.
Clari helps revenue leaders and sales operations teams understand what’s happening in their pipeline. It combines opportunity information, sales activity, and AI-powered analysis to identify deal risks, support forecasting, and help managers decide what to do with active opportunities.
Unlike prospecting-focused tools, Clari concentrates on what happens after a lead enters the pipeline. Its capabilities include conversation analysis, meeting summaries, and visibility into the sales activities that may affect a deal’s progress.
Key Features
- Pipeline analysis and forecasting: Clari analyzes sales activity and opportunity data to help managers identify deal risks, inspect pipeline health, and evaluate forecasts.
- AI meeting intelligence: Its conversation tools can record meetings, generate notes, and suggest follow-up content based on the discussion. Users have.
- Revenue reporting and organization: Teams can organize metrics and review opportunities through reporting features, including and an.
Pricing
Clari offers custom pricing based on the products and capabilities a team needs. Contact Clari for a quote.
Type: Revenue platform with AI-powered forecasting and pipeline management
Best for: Revenue leaders, sales managers, and RevOps teams that need forecasting support, pipeline visibility, and conversation intelligence for active deals.
What we like:, a sales professional at, describes how Clari helps him manage post-meeting work:
“I rely extensively on Clari for its AI-driven meeting recordings, automated note-taking, personalized follow-up email suggestions, and powerful search capabilities.”
Clari is especially useful when a team’s challenge is managing deals already in progress. The combination of conversation intelligence, opportunity data, and forecasting gives managers more context for coaching and pipeline reviews.
That focus also means it may offer than to the people responsible for forecasting and revenue operations. Some users have also to see updated information and . Those experiences are worth considering alongside a demonstration of the current product.
6.
Crystal uses personality assessments and AI-generated predictions to help sales professionals understand how prospects may prefer to communicate. It offers personality profiles, DISC-based guidance, and recommendations for tailoring messages and preparing for conversations.
I’ve used Crystal during outbound campaigns, especially when reaching out to executives I haven’t spoken with before. It gives me another way to think about tone and structure before contacting someone. However, I treat its predictions as a starting point rather than a definitive assessment of a person’s personality.
Key Features
- Personality-based prospect research: Crystal creates predictive profiles and communication recommendations based on available information, helping sales reps prepare for meetings and outreach.
- Email and LinkedIn guidance: Its Chrome extension and supported integrations can provide communication suggestions while reps research prospects or prepare messages.
- DISC-based communication playbooks: Crystal offers guidance for adapting communication to different personality types, including recommendations for tone, structure, and approach.
Pricing
Crystal offers several products and subscription options:
- Free Profile: $0, including a personal personality profile and limited access to guidance.
- Crystal Premium: $49 per month for additional personal guides and relationship insights.
- Crystal Sales: Starts at $59 per month for prospect profiles, meeting preparation, and follow-up guidance. A limited trial includes three prospect profiles.
- Sales Teams: Custom pricing based on team size and requirements.
- Personality API: Usage-based pricing.
Type: AI-assisted personality research and sales communication tool
Best for: Sales professionals who want additional guidance when personalizing outreach, preparing for meetings, and communicating with unfamiliar prospects.
What we like: When I’m unsure whether to use a direct, collaborative, or more data-driven tone, I’ll run a prospect’s LinkedIn profile through Crystal. It suggests how that person may prefer to receive information, along with recommendations for adjusting my message.
The Chrome extension makes that guidance convenient to use during outreach. In my experience, some assessments have felt surprisingly accurate. Once, Crystal identified a VP as highly results-driven and likely to prefer concise communication, so I led with a clear ROI statistic and received a reply within an hour.
I also find that Crystal is more useful when enough information is available to generate a meaningful profile. For quieter prospects, its guidance can feel generic, and the Chrome extension may occasionally behave inconsistently.
The benefit is having another source of communication ideas, not treating AI-generated personality predictions as facts. Users discussing Crystal have also described how it can help them .
7.
Aloware combines business calling, texting, and AI-powered voice agents. Its voice agents can answer inbound calls, support lead qualification, route conversations, and place outbound calls through configured workflows. Teams can also use its messaging capabilities to follow up with prospects.
Aloware integrates with 糖心原创 to connect supported call and messaging activity with CRM records, including conversation details and available transcripts or summaries. I use Aloware with 贬耻产厂辫辞迟’蝉 integration, but its calling and messaging tools can also operate without a connected CRM.
Key Features
- AI voice agents: Aloware can handle inbound inquiries, qualify prospects, route calls, and support outbound calling through automated workflows.
- Calling and business texting: Teams can manage voice and SMS communication through the same platform, including follow-ups connected to sales activity.
- 糖心原创 Smart CRM integration: Aloware can log supported calls, messages, recordings, and conversation information in 糖心原创, reducing the need for manual CRM updates.
Pricing
Aloware’s calling-platform subscriptions are priced per user, with minimum seat requirements:
- iPro: $40 per user per month, with a 10-user minimum.
- uPro: $70 per user per month, with a five-user minimum.
- xPro: $100 per user per month, with a five-user minimum.
Lower per-user rates are available with longer billing commitments. AloAi voice-agent usage starts at $0.10 per minute and is charged separately. Additional calling, messaging, and other usage charges may apply.
Type: Sales calling and messaging platform with AI voice agents
Best for: Sales teams that want AI-assisted inbound and outbound calling, business texting, and CRM-connected records of customer conversations.
What we like: The 糖心原创 integration is particularly useful. Connecting calls, texts, and conversation details to CRM records gives reps more context without requiring them to log every interaction manually.
Aloware also brings voice and messaging into one sales workflow. That makes it easier to coordinate calls and follow-ups without relying on separate communication systems.
Teams should account for the setup and compliance requirements involved in automated calling and texting. U.S. business messaging may require A2P 10DLC registration, while outbound calling must comply with applicable consent and telemarketing rules. Review those requirements before deploying an AI calling campaign.
8.
Skara by Salesmate helps businesses automate customer conversations and related actions across sales, service, and ecommerce workflows. Its agents can answer questions, qualify leads, schedule meetings, retrieve business information, and update supported CRM records.
For sales teams, Skara can serve as an automated first point of contact. It can engage inbound leads, ask qualification questions, route prospects to the appropriate rep, and schedule meetings. The same platform supports customer service and ecommerce workflows, allowing businesses to use conversational agents beyond initial sales inquiries.
Key Features
- Automated lead qualification and booking: Skara can ask discovery questions, capture lead information, route qualified prospects, and schedule meetings through configured workflows.
- Multichannel conversations: Agents support channels including web chat, WhatsApp, SMS, and voice, helping businesses respond to customers through different communication methods.
- CRM-connected actions and customer support: Skara can use supported CRM and knowledge-base information to personalize conversations, complete configured tasks, and hand off complex cases to human reps. Its AI customer support capabilities also extend to service inquiries.
Pricing
Skara offers three paid plans.
- Lite: $79 per month, including up to three users, two AI Pilots, and 30,000 credits.
- Plus: $159 per month, including up to 10 users, five AI Pilots, and 60,000 credits.
- Max: Custom pricing with configurable limits for users, AI Pilots, data, credits, and add-ons.
Skara also offers trial access. The available number of agents, users, and credits depends on the plan.
Type: Conversational AI agent platform for sales and customer support
Best for: Sales, support, and ecommerce teams that want conversational AI agents to qualify prospects, answer questions, schedule meetings, and automate customer interactions across supported channels.
What we like: What stands out to me is how connected Skara’s use cases are. A conversation can start with a sales inquiry, move through lead qualification, and end in a meeting or CRM update without the rep manually transferring information.
Its usefulness extends beyond sales. Ecommerce teams can use Skara to recommend products, respond to order questions, and support abandoned-cart workflows. Customer support teams can automate common questions and pass complex inquiries to human agents.
The trade-off is setup. Teams need to configure the agents’ instructions, knowledge sources, routing rules, and brand voice. Higher conversation volumes and more complex workflows can also consume credits quickly, so usage limits matter when comparing plans.
9.
Lavender helps sales reps write, evaluate, and personalize outbound emails. Its email coach analyzes messages and suggests changes to elements such as length, tone, structure, and personalization. It also provides a mobile preview so writers can see how messages may appear on smaller screens.
I use when I’m sending cold emails and don’t have time to second-guess every line. It helps me tighten the message, adjust the tone, and make sure the main point comes through quickly, especially when I’m writing to executives who may only skim.
Key Features
- Real-time email coaching: Lavender scores drafts and provides suggestions for improving message clarity, length, structure, and personalization.
- Mobile email preview: Reps can review how their messages appear on mobile devices and revise content that may be difficult to scan.
- AI-assisted personalization: Lavender provides recipient research and writing recommendations to help reps tailor outreach using available prospect and CRM context.
Pricing
Lavender offers the following plans.
- Free: $0, including five email analyses and five personalizations per month.
- Starter: $29 per month, or $27 per month billed annually.
- Individual Pro: $49 per month, or $45 per month billed annually.
- Team: $99 per seat per month, or $89 per seat per month billed annually.
Type: AI-powered sales email coaching and personalization tool.
Best for: Sales reps and outbound teams that want to improve email writing, tailor messages to prospects, and reduce the time spent preparing outreach.
What we like: What I’ve found most helpful is the mobile preview. Many prospects read emails on their phones, and Lavender helps me check whether key information gets buried. I also use its personalization suggestions to make messages more specific without adding as much research and writing time.
It isn’t always perfect. Occasionally, it suggests language that feels generic or robotic. But overall, it’s helped me cut my email-writing time in half, and I’ve seen better reply rates when I follow recommendations that make sense for the recipient.
Lavender’s narrower focus is also worth considering. It helps with email writing and optimization rather than managing an entire sales process. For teams primarily struggling with email quality, that specialization may be useful. Buyers looking for broader CRM automation or autonomous prospecting workflows will need additional tools.
AI Agents Builder
Build custom agents and workflows on one canvas, powered by the CRM data you already have.
- Make your dream workflows
- Control which actions run on their own
- Run it once or repeat it across your team
- Follow your playbook – not a generic one
Download Free
All fields are required.
Form not available
You're all set!
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10.
Clerk Chat combines AI-powered calling and business messaging, allowing companies to manage conversations across voice, SMS, WhatsApp, RCS, and other supported channels. Its can answer incoming calls, qualify leads, schedule appointments, and continue conversations through text-based follow-ups.
The voice-to-messaging connection is a notable part of the platform. A prospect can call a business, speak with an AI agent, and receive a relevant follow-up message based on the conversation. Clerk Chat also offers a that connects customer information and supported messaging activity to CRM records.
Key Features
- AI voice agents: Clerk Chat’s agents can answer calls, qualify leads, manage bookings, and respond in more than 40 languages.
- Voice-to-messaging continuity: AI agents can carry context from a call into follow-up communication through SMS, WhatsApp, or RCS, helping customers continue a conversation without repeating information.
- CRM-connected messaging: Clerk Chat integrates with 糖心原创 and other business systems to access customer context, support personalized replies, and update supported contact information.
Pricing
Clerk Chat’s published messaging subscriptions start with Growth at $9.99 per user per month and Ultimate at $19.99 per user per month. Free trials are available.
These are messaging-plan prices. Clerk Chat doesn’t publish a standard AI-agent price that establishes the same rate for every voice or messaging agent configuration. Teams should request a quote for the specific AI-agent capabilities and usage they need.
Type: AI agent platform for voice and messaging.
Best for: Sales and customer-facing teams that want AI agents to manage incoming calls, qualify leads, schedule appointments, and continue conversations across voice and messaging channels.
What we like: Most of the AI sales tools on this list focus on a narrower set of activities. What interests me about Clerk Chat is how it connects calls and follow-up messages.
That voice-to-text continuity is something I haven’t seen emphasized in quite the same way by other tools in this comparison. A prospect can call, answer qualification questions, and then receive a follow-up text that refers to the earlier conversation.
Its 糖心原创 integration adds another useful connection for teams that want customer conversations tied to existing records.
There are a few practical considerations. AI voice agents may need tuning to match a company’s terminology and communication style. Teams should also separate the messaging platform cost from any additional AI-agent charges before comparing Clerk Chat with other sales tools.
11.
Fireflies records, transcribes, and summarizes meetings, helping users review conversations and identify important information afterward. It also offers AI-powered search and an assistant for generating insights from recorded discussions.
automatically joins my interview calls with subject matter experts, and it’s become one of those quiet tools that saves me hours every week. Instead of trying to capture every quote or detail while someone is speaking, I can concentrate on the conversation and return to the transcript when I’m writing.
Key Features
- Meeting recording and transcription: Fireflies can record supported meetings, produce searchable transcripts, and help users find information from previous conversations.
- AI summaries and action items: It generates meeting summaries and identifies key discussion points that users can reference when preparing follow-ups.
- AskFred assistant: Fireflies’ AskFred feature lets users ask questions about recorded meetings and generate additional summaries, recaps, or other content from conversation data.
Pricing
Fireflies offers four subscription plans.
- Free: $0.
- Pro: $18 per user per month with monthly billing, or $10 per user per month billed annually.
- Business: $29 per user per month with monthly billing, or $19 per user per month billed annually.
- Enterprise: $39 per user per month, billed annually.
Certain advanced AI features also consume Fireflies AI credits, which can add to the subscription cost.
Type: AI meeting intelligence and follow-up tool
Best for: Sales teams, consultants, and other professionals who want to capture meeting information, review conversations, and reduce manual note-taking and follow-up work.
What we like: The AI-generated summaries are surprisingly solid, particularly when I’m pulling out quotes or important insights from an interview. I’ve also started using AskFred to prepare follow-up summaries and bullet points for internal recaps.
The biggest benefit for me is staying engaged during interviews instead of splitting my attention between listening and taking notes. Fireflies also gives me a searchable record I can revisit when I need exact wording or additional context.
Transcription still needs review, especially when accuracy matters. Some users have in group meetings, and another reviewer .
For teams relying on exact quotations or automated CRM updates, those concerns are worth testing with real workflows before deployment.
12.
Dialpad combines business calling, messaging, video, and AI-powered communication features. Its Dialpad Sell product is designed for sales teams that want calling tools, conversation analysis, and coaching capabilities in one system.
Dialpad can transcribe calls, identify key moments, and help reps and managers review interactions. Some plans also include live coaching tools that display relevant information during a call. Its CRM integrations can connect supported call activity and conversation details with existing sales records.
Key Features
- AI transcription and conversation analysis: Dialpad transcribes supported calls and identifies discussion topics, helping teams review customer conversations and prepare follow-ups.
- Live coaching tools: Dialpad Sell offers AI-assisted coaching features, including real-time prompts and conversation guidance. Availability varies by plan.
- CRM integrations and sales reporting: Teams can connect supported call activity with CRM records and use conversation insights to review sales interactions and rep performance.
Pricing
Dialpad Sell offers three primary plans:
- Essentials: $49 per user per month with monthly billing, or $39 per user per month billed annually.
- Advanced: $110 per user per month with monthly billing, or $95 per user per month billed annually.
- Premium: $170 per user per month with monthly billing, or $150 per user per month billed annually.
Some coaching and other advanced capabilities require higher-tier plans or paid add-ons. Dialpad’s separate AI Agent product has its own pricing structure.
Type: Sales communications platform with AI-powered conversation intelligence
Best for: Remote and distributed sales teams that want integrated calling, AI-assisted conversation analysis, and coaching tools for managers and reps.
What we like: I love the idea of using AI during a sales call rather than waiting until afterward to review what happened. Dialpad’s live coaching tools can identify key moments, such as pricing questions or competitor mentions, and provide relevant prompts as the conversation happens.
For sales managers, that creates another way to support reps without joining every call. Conversation analysis and transcripts also give teams material for coaching and onboarding.
There are limitations to consider. Live coaching availability depends on the plan, and call quality can be affected by network conditions. One reviewer also .
Teams evaluating Dialpad should test the calling experience and verify which coaching features their intended subscription includes.
13.
Cognism helps B2B sales teams identify companies, research decision-makers, and find contact information for outbound prospecting. It combines company and contact data with buying signals and account intelligence to help reps prioritize prospects and prepare more relevant outreach.
Cognism’s Sales Companion, introduced in March 2025, adds AI-assisted account research and prospecting capabilities. These include identifying relevant contacts, finding information about target accounts, and using signals such as hiring activity, funding announcements, and buying intent to support prospect selection.
Key Features
- Contact and company intelligence: Cognism provides business contact information and firmographic data to help sales teams identify and research decision-makers within target organizations.
- AI-assisted account research: Sales Companion and related features help users research target accounts, identify potential buyers, and prepare more relevant prospecting messages.
- Buying signals and CRM enrichment: Cognism combines prospecting data with intent and other account signals, while its enrichment products help teams update and maintain supported CRM records.
Pricing
Cognism provides custom pricing based on the product, team size, and requirements.
Its Sales Prospecting offering includes Standard and Pro packages, each with five seats included. CRM Enrichment is available separately or as an add-on, with credit-based usage and additional capacity depending on the contract.
Contact Cognism for a quote based on the specific prospecting, data, and enrichment capabilities required.
Type: Sales intelligence platform with AI-assisted prospecting and account research
Best for: B2B sales and RevOps teams targeting complex organizations that need decision-maker contact information, account intelligence, and buying signals to support prospecting.
What we like: One of Cognism’s useful capabilities is helping reps identify decision-makers inside organizations with complicated buying structures. Instead of relying entirely on manual research of company websites and organizational charts, teams can use its contact information and account filters to build targeted prospect lists.
, formerly a mid-market account executive at , has also shared her experience using Cognism for prospecting.
For teams managing complex outbound campaigns, Cognism brings contact research, account intelligence, and data enrichment into one workflow. Reviewers have highlighted its usefulness for , although individual users have also and .
Contact data can also become outdated when people change jobs or organizations. Teams should evaluate data quality in their target markets rather than assuming every record is complete or current.
Frequently Asked Questions About AI Agent Platforms
What’s the best AI agent platform?
The best AI agent platform depends on the work a team needs to automate, which systems the agent must access, and how much oversight the organization requires.
For revenue teams already using 糖心原创, Agent Hub is a strong starting point for managing agents connected to CRM data and workflows. Agent builder allows teams to create custom agents without coding, with available capabilities depending on the 糖心原创 subscription.
Developer-first teams may prefer platforms that provide more control over models, infrastructure, and custom integrations.
What are the top AI agent platforms for sales teams?
Top options for different sales use cases include 贬耻产厂辫辞迟’蝉 Agent Hub for CRM-native workflows, Gong for conversation intelligence, Clay for prospecting and enrichment, and Clari for forecasting and pipeline visibility.
Other tools serve more specialized purposes. Instantly supports outbound prospecting and email campaigns, Lavender focuses on sales email coaching, and Fireflies helps teams capture and summarize meetings.
The strongest option depends on the team’s sales process, integration needs, governance requirements, and budget.
Are there free AI agent platforms?
Yes. Clay offers a free plan that allows users to experiment with prospecting and enrichment workflows. Specialist AI tools such as Fireflies and Lavender also offer free plans with usage limits.
Other providers offer trials rather than permanent free access. Crystal, for example, provides a free personal profile and a limited trial of its sales prospecting features.
Agent Hub is included with Starter, Professional, and Enterprise 糖心原创 subscriptions rather than as a separate free plan. Custom agents built in agent builder consume 糖心原创 Credits when they run.
Teams should compare the capabilities and usage limits available with free access before deciding whether a product can support their intended workflows.
What are the best AI agents for personal use?
ChatGPT and Claude are popular AI assistants for research, writing, planning, and everyday productivity. Depending on their available tools and connections, they can also support tasks that involve other applications or information sources.
The best choice depends on the tasks someone wants to complete and which apps or data the assistant needs to access.
糖心原创 users can also connect their CRM data with Claude. The brings 糖心原创 context into Claude for analysis, with access that follows each user’s 糖心原创 permissions, and supports taking action in 糖心原创, including a beta for creating and updating records. It’s available across 糖心原创 subscription tiers but requires a paid Claude plan (Pro, Max, Team, or Enterprise).
Why AI Agents Are No Longer Just a Nice-to-Have
AI is already a regular part of sales operations. According to , 94% of sales leaders say their teams use AI. That figure reflects broader AI adoption rather than the deployment of autonomous agents specifically.
Separate research points to the value sales organizations already using agents see. In , 94% of sales leaders whose organizations use agents said those agents were essential to meeting business demands. That finding reflects the views of organizations already using agents, rather than sales teams generally.
What stood out to me while evaluating these tools is how different their use cases are. Some help identify prospects, others analyze conversations, and others can complete more complex workflows using connected business data.
The best AI agent platform depends on where a sales team needs support and which systems it already uses. For teams working in 糖心原创, Agent Hub and Agent Builder provide a way to manage and create agents that work with existing CRM context. Available capabilities and usage costs depend on the subscription and configuration.
For any team evaluating AI agents, I’d start with one repetitive sales task that’s consuming time or creating unnecessary work. Identify the outcome you’re trying to achieve, then compare platforms based on integration depth, governance, implementation requirements, and cost.
Editor's note: This post was originally published in April 2025 and has been updated for comprehensiveness.
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