What Are AI Sales Agents? 10 Examples

Reps spend a large part of the week outside of active selling. The average rep sells for roughly 11 hours of a 40-hour week, with the other 28 hours going to research, CRM updates, internal meetings, and follow-up. Post-call admin sits squarely inside that gap: logging what was said, updating deal stages, and drafting the next email.

AI sales agents are closing it. An AI sales tool analyzes and suggests, and an assistant reacts to each prompt. An agent plans and completes multi-step sales work toward a goal, using the data and integrations you give it within the permissions you set. Typical goals include sales prospecting, qualification, call capture, follow-up drafting, and CRM updates.

These agents fall into five categories: outbound SDR, inbound qualification, conversation and meeting, CRM-native, and GTM data. Together, the 10 examples below cover most of the pre-call and post-call work reps used to handle manually.

The Short on Time Version

• AI sales agents complete multi-step sales work with little or no human input, while tools and assistants analyze or suggest and leave action to a rep.
• The main categories are outbound SDR, inbound qualification, conversation and meeting, CRM-native, and GTM data agents.
• Evaluate the gap and governable autonomy first, then verify CRM integration depth; a Conversation Intelligence Platformlike Otter.ai writes call outcomes back automatically.
• Start with a time-consuming task, then compare metering with your call and lead volumes as well as enrichment volume.

What Is an AI Sales Agent?

An AI sales agent is software that plans and completes sales work toward a goal using the data and tools you provide, within the permissions you set. It uses your CRM and conversation data to take approved actions through existing integrations. An assistant reacts to each request; an AI sales tool analyzes and suggests while a rep acts.

Five types of AI sales agents represent the market:

• Outbound SDR agents prospect for leads and book meetings.
• Inbound and website agents qualify visitors and route them onward.
• Conversation and meeting agents capture calls and update the CRM.
• CRM-native agents qualify leads and update pipeline inside the CRM.
• GTM data and workflow agents enrich leads and detect buying signals.

Together, they cover the sales stages where agents commonly take action.

AI Sales Agents Compared

The table compares the type and fit of all 10 agents and lists their costs, with free entry points concentrated among conversation and workflow tools.

Conversation agents start free; autonomous outbound starts at $499 per month.

1. Otter.ai: Conversation and Meeting Agent

Otter.ai is an AI notetaker and Conversational Intelligence Platform that creates searchable records. Otter tags action items and can be configured to join selected Zoom calls, Google Meet, and Microsoft Teams calls. It transcribes them live with 95%+ accuracy, extracts defined insights, drafts follow-up emails, and syncs to Salesforce or HubSpot, with full field mapping on Enterprise. Through MCP, Claude and ChatGPT can query meeting data directly. Otter serves more than 35 million users and integrates with the most widely adopted meeting and CRM platforms in the market.

On Enterprise, Otter AI Chat lets reps query what buyers said across meeting history. Live Assist, generally available since July 2026, matches live call audio against uploaded sales playbooks and shows private guidance cards during calls.

Pros

• Removes the need for manual notes while automatically preparing transcripts and action items for follow-ups.
• Transcript search saves time on long recordings.
• Delivers95%+ transcription accuracy and automatic Salesforce or HubSpot sync, reducing post-call admin.

Cons

• Speaker identification on phone dial-ins currently defaults to generic labels, with recognition improvements planned in upcoming releases.
• Autonomous outbound is not yet part of the Otter platform, though additional agentic capabilities are on the near-term product roadmap.

Pricing

Otter has a free Basic plan. Pro starts at $8.33 per user per month billed annually, Business costs about $20 per user per month, and Enterprise is custom with CRM field mapping and SSO.

Who Is Otter.ai For?

Otter fits sales teams trying to reduce manual post-call notes, CRM entry, and follow-up email activity.

2. Gong: Enterprise Revenue Intelligence

Gong is a revenue AI platform for mid-market and enterprise sales organizations that analyzes recorded calls for deal tracking and coaching. Gong captures customer interactions across calls, email, and web conferencing, then applies AI to surface deal risks and coaching moments.

Pros

• Keyword and topic search inside recorded calls locates specific competitor mentions or objections across hours of conversation.
• Shared call libraries shorten ramp time for new SDRs by giving them access to top-performer recordings and coaching notes.

Cons

• Multi-layered navigation makes locating specific dashboards and reports slow for new admins and reps.
• Prebuilt reporting offers limited customization for RevOps teams that need bespoke pipeline views.

Pricing

Gong publishes no prices and uses quote-based pricing.

Who Is Gong For?

Gong fits mid-market and enterprise organizations with a RevOps function.

3. Agentforce 360: CRM-Native Agent for Enterprise

Agentforce 360 lets enterprises build agents on Salesforce data to qualify leads and update pipeline. It runs natively on the Salesforce Platform, so agents can act on the same records, workflows, and permissions reps already use.

Pros

• Lead qualification and pipeline updates run on the same Salesforce records reps already use, so no separate data model or middleware is required.
• Prebuilt actions for meeting scheduling, record updates, and case routing reduce build time for common sales workflows.

Cons

• Configuring topics, actions, and guardrails demands deep Salesforce admin knowledge and typically extends rollout by weeks.
• Per-action Flex Credit consumption creates variable monthly bills that are hard to forecast at scale.

Pricing

A free Foundations tier is available. Flex Credits cost $0.10 per standard action; the Agentforce Sales add-on costs $125 per user per month. Credits do not roll over.

Who Is Agentforce 360 For?

Agentforce 360 fits enterprises wanting agents native to Salesforce data.

4. HubSpot Breeze: For Teams Already on HubSpot

HubSpot Breeze is HubSpot's AI layer for Pro and Enterprise customers, with 20 or more agents, including Prospecting and Customer Agents, plus Breeze Intelligence enrichment. Breeze pulls context directly from HubSpot Smart CRM records, so agents can act on existing contact, company, and deal data without a separate integration layer.

Pros

• Rollout is measured in days or weeks because agents run on existing Smart CRM records without a separate integration layer.
• The Prospecting Agent auto-drafts personalized outbound sequences from HubSpot contact and company data with minimal rep prompting.

Cons

• Monthly agent credits expire without rollover, penalizing teams with uneven activity across the month.
• Custom actions and deeper agent configuration are gated to Enterprise-tier subscriptions.

Pricing

The Prospecting Agent uses 100 credits per lead recommendation. Credits cost $10 per 1,000, with a 28-day agent trial.

Who Is HubSpot Breeze For?

HubSpot Breeze fits teams already on HubSpot Pro or Enterprise.

5. Artisan: All-in-One Outbound SDR Agent

Artisan is an all-in-one outbound SDR platform for sales teams that want to consolidate lead discovery, research, personalized email and LinkedIn outreach, and booking into one agent. Its Ava agent draws from a B2B contact database and handles email warm-up, sequencing, and reply detection in one workflow.

Pros

• Ava writes personalized email and LinkedIn openers from enriched prospect data, lifting reply rates above generic template sequences.
• A single workflow covers sourcing, warm-up, sequencing, and reply detection, removing the need to stitch together separate outbound tools.

Cons

• Prospect list filters occasionally return contacts outside the defined ICP, requiring manual list cleanup before sends.
• The multi-panel workspace has a heavier learning curve than single-purpose outbound tools, extending time to first send.

Pricing

Artisan uses quote-based pricing and publishes no self-serve prices.

Who Is Artisan For?

Artisan fits teams consolidating outbound prospecting into one agent.

6. 11x: Fully Autonomous Outbound at Enterprise Scale

11x serves enterprise teams running prospecting without SDR headcount. Alice handles prospecting and outreach; Julian qualifies inbound leads through phone, chat, SMS, and WhatsApp. The platform is positioned as a digital-worker layer, replacing manual sourcing and first-touch outreach across email and voice channels.

Pros

• Reviewers report measurable lifts in reply rates and booked meetings within the first two months of deployment.
• Alice compiles account-level research from public sources before drafting outreach, removing manual pre-call prep from SDR workloads.

Cons

• Small teams and niche verticals with tight ICPs often see weaker match rates than mid-market and enterprise accounts.
• Pricing is only shared after a sales demo, slowing early-stage vendor comparisons and budget planning.

Pricing

11x publishes no pricing and sells demo-gated annual contracts.

Who Is 11x For?

11x fits well-funded enterprises with a clean ICP running outbound without SDR headcount.

7. Salesforge: Budget Autonomous Cold-Email Agent

Salesforge is a cold-email platform for budget-conscious teams; Agent Frank handles outreach in over 20 languages through autonomous Auto-Pilot or human-in-the-loop Co-Pilot mode. The platform includes built-in mailbox rotation, warm-up, and deliverability tooling to keep sender reputation intact at scale.

Pros

• Agent Frank drafts and sends cold email in over 20 languages, opening non-English markets without additional copywriters.
• Built-in mailbox rotation and automated warm-up handle deliverability hygiene inside the same tool rather than through add-ons.

Cons

• Inbox placement rates lag some dedicated cold-email platforms according to user reports, requiring closer monitoring of sender reputation.
• Agent Frank's $499–$599 monthly fee is high compared with the human-run Salesforge platform at $40 per month.

Pricing

A 14-day platform trial is available. Agent Frank costs $499 to $599 per month billed quarterly; the human-run platform starts at $40 per month.

Who Is Salesforge For?

Salesforge fits budget-conscious teams running cold email without a rep or enterprise contract.

8. Fin: Inbound Sales and Support Agent

Fin answers from a knowledge base for high-volume inbound teams. Fin was renamed from Intercom in May 2026, and Salesforce signed a definitive agreement to acquire it in June 2026. Fin resolves inbound conversations across chat, email, SMS, and social channels, and hands off to human reps with full context when needed.

Pros

• Resolves a high share of inbound tickets end-to-end when the underlying knowledge base is kept current.
• Context and prior conversation history transfer to human reps on handoff across chat, email, SMS, and social channels.

Cons

• Resolution quality drops sharply when help-center articles are outdated or incomplete, making content maintenance a prerequisite.
• Per-resolution and per-qualification fees stack quickly, with 1,000 monthly resolutions running about $990.

Pricing

A 14-day free trial is available. Resolutions cost $0.99 and qualifications $9.99, with a 50-outcome monthly minimum. At 1,000 monthly resolutions, outcome fees run about $990.

Who Is Fin For?

Fin fits high-volume inbound teams with a maintained knowledge base.

9. Cognism: Prospecting and B2B Contact Data

Cognism is a B2B prospecting data platform for outbound sales and RevOps teams that need verified contact information across EMEA and the US. According to Capterra reviews, Cognism provides verified contact data, especially across EMEA, with firmographic and technographic filters. Its database is GDPR- and CCPA-compliant and includes phone-verified mobile numbers through the Diamond Data set, a differentiator for EMEA outbound teams.

Pros

• Phone-verified mobile numbers in the Diamond Data set deliver higher connect rates in EMEA and US markets than generic B2B databases.
• Firmographic and technographic filters export cleanly into Salesforce and HubSpot without creating duplicate contact records.

Cons

• APAC coverage, especially outside major hubs like Singapore and Tokyo, is thinner than EMEA and US contact depth.
• Building saved searches with advanced Boolean logic requires onboarding time before RevOps teams see full value.

Pricing

Indicative pricing is about $12,750 for Standard and $17,000 for Pro, each with five seats.

Who Is Cognism For?

Cognism fits teams needing verified mobile and email data across EMEA and the US.

10. Clay: GTM Data and Workflow Agent-Builder

Clay is a data enrichment and workflow platform for RevOps and GTM engineers that aggregates data from 150+ providers into a single spreadsheet-style workspace, with AI research agents that can run bespoke prospect-level lookups on demand.

Pros

• Waterfall enrichment across 150+ data providers fills contact and firmographic fields that any single vendor misses on its own.
• Spreadsheet-style tables paired with AI research agents build bespoke prospect lookups without engineering support.

Cons

• The table-and-formula workspace assumes SQL-like comfort, extending onboarding time for non-technical hires.
• Action-based billing scales unpredictably as enrichment volumes grow across large prospect lists.

Pricing

A free plan covers 500 actions monthly; Launch costs $167 per month and Growth $446.

Who Is Clay For?

Clay fits RevOps and GTM engineers building custom workflows instead of buying a turnkey SDR.

How to Choose the Right AI Sales Agent

Start where hours leak, then assess supervision and metering at your volumes.

• Match the agent to your main gap: Use outbound agents for pipeline volume, inbound agents for unworked leads, and conversation agents like Otter for post-call CRM entry, with assistive AI sales tools filling other gaps. 
• Decide how much autonomy you can govern: Human-in-the-loop governance suits sensitive workflows; full autonomy suits low-risk, repeatable tasks. Gartner predicts more than 40% of agentic AI projects will be canceled by the end of 2027 due to cost or weak controls, so define which decisions agents make alone and log every action.
• Model the metering against your real volumes: These agents bill per credit, outcome, action, plan, or quote. Price each meter against your monthly call, lead, and resolution volumes before signing.

How to Reclaim Post-Call Hours With Otter

The right AI sales agent depends on where your team leaks the most hours, how much autonomy you can govern, the state of your CRM data, and your budget. For most sales teams, the biggest block of recoverable time sits in the minutes right after a call ends.

Otter captures conversations, surfaces action items, drafts follow-ups, and keeps CRM records current across Zoom, Google Meet, and Microsoft Teams. Otter AI Chat lets your team query conversation history with full context. Test it on one rep's calls for a week and compare CRM records against prior manual entries.

MRI Software's 26-person sales engineering team replaced memory-based demo debriefs with searchable transcripts and summaries that support its complex sales cycles.

Try Otter free or schedule a demo to see live coaching and CRM sync on your meetings.

Frequently Asked Questions About AI Sales Agents

What Is the Best AI Sales Agent?

Otter is our top recommended AI Conversational Intelligence Platformfor teams focused on reclaiming post-call hours, since it captures conversations, drafts follow-ups, and writes outcomes back to Salesforce or HubSpot automatically. Teams with different primary gaps, such as autonomous outbound or inbound qualification, may pair Otter with a category-specific agent from this list.

Do AI Sales Agents Replace Sales Reps?

AI sales agents handle repetitive work such as data entry, notetaking, routine outreach, and follow-up drafting. Closing still depends on human judgment and trust.

How Much Do AI Sales Agents Cost?

Otter offers a free Basic plan, with paid plans from $8.33 per user per month billed annually. Autonomous outbound agents and enterprise platforms generally use monthly fees or custom annual contracts.

How Do AI Sales Agents Update a CRM?

Otter's Enterprise plan extracts the custom insights your team defines from sales calls and writes them to mapped Salesforce or HubSpot fields. Other agents may meter CRM actions by seat, credit, or outcome.