Best HubSpot Alternative

CRM with AI agents in 2026, what the AI actually does

Every CRM now advertises AI. The useful distinction is between AI that writes, AI that recommends and AI that acts on records, and each comes with its own costs and controls.

By The editors · Updated · 4 min read

A customer success manager with a headset around her neck reads a printed call summary and writes in a notebook while a colleague talks on a call behind her.
An agent is only as useful as the record it leaves behind for the next person.
Contents
  1. The time problem agents are meant to solve
  2. Three kinds of AI in a CRM
  3. How the products charge for AI
  4. Controls that make agents usable
  5. A rollout that works
  6. Questions buyers ask
  7. Sources

Sales teams expect a great deal from AI agents, and the survey numbers show why. The harder question for a buyer is which kind of AI a CRM actually provides, what it is allowed to do on its own and how it is billed.

The time problem agents are meant to solve

In Salesforce's 2026 State of Sales survey of 4,050 sales professionals in 22 countries, the average seller spent 40% of their time selling. Fifty-four per cent said they had already used AI agents and nearly nine in ten planned to by 2027. Sellers expected agents to cut prospect research time by 34% and email drafting by 36% once fully implemented; these are expectations, not measured results⁠1. The same survey found that 51% of sales leaders using AI said disconnected systems were slowing them down, and 74% of sales professionals were focusing on data cleansing⁠1.

The pattern is consistent with MIT's 2025 study of enterprise AI, in which most generative AI pilots showed little measurable effect on profit and loss, and tools bought from specialised vendors succeeded about 67% of the time, roughly three times the rate of internal builds⁠2.

Three kinds of AI in a CRM

  • AI that writes. Drafts, rewrites and summaries of emails and calls. Pipedrive's email generator and summariser⁠3 and Copilot's email drafts in Dynamics 365 Sales⁠4 are examples.
  • AI that recommends. Scores, predictions and next-best actions that a person acts on. Pipedrive's win probabilities⁠3, Freddy AI's intent scores in Freshsales⁠5 and Zia's churn and win predictions in Zoho CRM⁠6 belong here.
  • AI that acts. Agents that research, qualify, log or follow up on records. Attio's web research and custom agents⁠7, Microsoft's Sales Qualification Agent⁠4, HubSpot's Prospecting Agent⁠8, Close's voice agent⁠9 and OpenLazarus's AI teammates⁠10 are in this group.

Most products now offer some of each. The difference that matters in practice is how much of the third kind is included, and under what controls.

How the products charge for AI

ProductHow AI is billed, as published
HubSpotMonthly credits by tier (500, 3,000 or 5,000), no rollover; extra at $10 per 1,000⁠11
AttioSeat credits per user and workspace credits per account, with paid top-ups⁠12
Close500 to 2,000 AI credits per user a month by plan; credits do not roll over⁠13
FreshsalesFreddy AI Agent at $49 per 100 sessions after a one-time 500⁠14
SalesforceAgentforce for Sales add-on from $125 a user a month⁠15
Dynamics 365 Sales1,000 Copilot Credits per user a month on Premium; further agent use billed in Copilot Credits⁠16
OpenLazarusAI credits for any model through its router, with a 5.5% fee⁠17

Credit models make the monthly bill depend on usage. A buyer should ask each vendor what one typical task, such as qualifying one inbound lead, consumes.

Questions to ask about any CRM agent

  • What can it do without a person's approval, and where is that limit set?
  • Where is each action recorded, and who can read the log?
  • Which records and inboxes can it see?
  • What does one typical task cost in credits or sessions?
  • What happens when it is unsure?

Controls that make agents usable

Agents that send email or change records need limits. OpenLazarus describes setting, per teammate, what it handles alone and what it asks a person first, deciding which teammates can see what, and logging every action where staff can read it⁠18. Its sales agent page shows the agent sending routine follow-ups and saving a draft for review on a high-value contact⁠19. Close marks several agent features as beta⁠9. Whatever the product, the controls should be written down before the agent is switched on.

A rollout that works

  1. Pick one job. Inbound lead qualification, stale-deal follow-up or renewal preparation. One job, one owner.
  2. Clean the records it will touch. Agents amplify whatever data they are given.
  3. Set the limits in writing. What it may send, change or book alone, and what needs approval.
  4. Measure one number for four weeks. Response time to new leads, first meetings booked or deals closed out with a reason.
  5. Expand only what moved the number, and review the action log weekly in the first month.

The end state is modest and concrete: one agent doing one job, measured the same way every week, with a log anyone on the team can read. For how the products rank overall, see our main guide.

Questions buyers ask

What is an AI agent in a CRM?

An AI agent is software that carries out a task on CRM records with some autonomy, such as researching a lead, qualifying it, logging an interaction or sending a follow-up, rather than only suggesting text for a person to send. Vendors use the word loosely, so check what the agent is allowed to do without approval.

Which CRM has the best AI agents?

In our review, Attio and Dynamics 365 Sales include agents that research and qualify leads, Close has a voice agent with broader agents in beta, and OpenLazarus runs AI teammates with their own inbox and phone number on its CRM records. Pipedrive and Freshsales focus on recommendations and writing help.

How much do AI features in a CRM cost?

Most vendors meter AI separately. HubSpot uses monthly credits, Attio has seat and workspace credits, Close includes 500 to 2,000 AI credits a user, Freshsales sells AI agent sessions at $49 per 100, Salesforce sells Agentforce for Sales from $125 a user a month and OpenLazarus charges a 5.5% fee on AI credits.

Sources

  1. State of Sales report: key takeaways. Salesforce, 3 Feb 2026. Accessed 8 Nov 2026.
  2. MIT report: 95% of generative AI pilots at companies are failing. Fortune, 18 Aug 2025. Accessed 8 Nov 2026.
  3. AI sales assistant. Pipedrive. Accessed 8 Nov 2026.
  4. Dynamics 365 Sales. Microsoft. Accessed 8 Nov 2026.
  5. Freshsales sales CRM. Freshworks. Accessed 8 Nov 2026.
  6. Zia, the AI in Zoho CRM. Zoho. Accessed 8 Nov 2026.
  7. Attio. Attio. Accessed 8 Nov 2026.
  8. AI agents and Agent Hub. HubSpot. Accessed 8 Nov 2026.
  9. Close CRM. Close. Accessed 8 Nov 2026.
  10. The agent library. OpenLazarus. Accessed 8 Nov 2026.
  11. Product and Services Catalog. HubSpot. Accessed 8 Nov 2026.
  12. Attio pricing. Attio. Accessed 8 Nov 2026.
  13. Close pricing. Close. Accessed 8 Nov 2026.
  14. Freshsales pricing. Freshworks. Accessed 8 Nov 2026.
  15. Sales Cloud pricing. Salesforce. Accessed 8 Nov 2026.
  16. Dynamics 365 Sales pricing. Microsoft. Accessed 8 Nov 2026.
  17. Pricing. OpenLazarus. Accessed 8 Nov 2026.
  18. AI for e-commerce. OpenLazarus. Accessed 8 Nov 2026.
  19. AI CRM agent: replace Salesforce, HubSpot and Pipedrive. OpenLazarus, 20 Dec 2025. Accessed 8 Nov 2026.

Updated 8 Nov 2026: First published.

Further reading