Every CRM says it has AI now. Behind the word sit three different products - a note-taker for your team, a script that fires on a keyword, and something that holds the conversation itself. Here is which is which.
Ask eight CRM vendors whether they have AI and you will get eight yeses. Open their documentation and you find three different things wearing one word: something that summarises a call for a manager, something that fires a prepared branch when a message matches a keyword, and something that holds the conversation itself.
The difference shows up at 2am, when a customer writes in. One of those three answers. The other two wait for Monday.
A disclosure before the list: we build CRAIM, which is number five below. Everything stated about the other systems comes from those vendors' own product pages and documentation, read in September 2026. Where a vendor does not say something, this article says so rather than filling the gap with a guess. Prices move too fast to be worth comparing in an article, so the comparison here is about what the AI does.
Three different things called AI in a CRM
Almost every system ships more than one of these. The useful question is not whether a CRM has AI, but which of the three you are buying - and what happens when it gets something wrong.
- An assistant for your team. It transcribes the call, writes the summary, fills the deal fields, drafts a reply for a person to send. The customer never meets it, which is also why it is the easiest to adopt: nothing can go wrong in front of a client.
- A scripted responder. It recognises roughly what an incoming message is about and launches a branch somebody prepared. The customer does meet it, but it is choosing between paths you drew, not composing an answer.
- An AI employee. It gets a role, the knowledge to answer from, and permission to perform a defined set of actions. It writes its own replies, asks its own qualifying questions, and stops where you told it to stop.
How this list was put together
The order runs from the AI that only helps your own team to the AI that talks to your customers. It is not a ranking, and the numbers carry no verdict.
- What the AI actually does, taken from the vendor's product and documentation pages rather than from a landing page headline.
- Whether the AI ever meets the customer, or only the employee.
- What the vendor says happens when the AI reaches the edge of what it should decide - approval, handoff, or nothing stated.
- Which channels the system connects.
- Everything was checked in September 2026 and vendors ship quickly, so verify anything you are about to sign on.
1. Bitrix24
A broad suite - CRM, tasks, telephony, sites, storage - with a free tier that a lot of small companies start on.
Its AI is CoPilot. The official feature page lists call audio-to-text transcription, call summaries and field autocompletion in deals; generated task descriptions, summaries and checklists; text generation in chat, on sites and in the feed; and transcription, analysis and summary of video calls.
Read closely, that list describes work done for employees. The feature page does not claim CoPilot answers customers on its own in messengers, and this article will not claim it either.
Suits a team that wants the whole stack in one subscription and wants the AI to take away retyping.
2. Zoho CRM
A large, long-established CRM inside an even larger suite of business apps.
Its AI is Zia: predictions on things like churn risk and the odds a deal converts, scoring that sorts prospects, a generative assistant that can build modules, reports and workflows on request, and what Zoho describes as AI agents able to execute business tasks autonomously.
The framing on Zoho's own CRM page is aimed at the seller rather than the buyer - the best time and channel to make contact, the next step to take. Treat the customer-facing agents as a separate thing to evaluate, not as something the CRM page promises.
Suits a company already standardised on Zoho that wants forecasting and prioritisation more than a customer-facing agent.
3. RetailCRM
Built around retail and e-commerce, so the record it keeps is the order - stock, delivery, marketplace - and not only the deal.
On AI it advertises chatbots and AI agents for round-the-clock selling, an assistant that turns a stated goal into a marketing scenario, a template assistant that rewrites and personalises text, and call transcription with automatic tagging. Channels include email, SMS, Telegram, WhatsApp, VK, MAX and Avito.
Suits an online store where the CRM has to know what was ordered and where the parcel is, not just what stage the deal sits at.
4. amoCRM
A messenger-first pipeline CRM, popular with teams whose whole sales process lives in chats.
Its AI feature is the Power-up. According to the documentation for Kommo, the same product under its international brand, it replies automatically in connected messenger chats when an incoming message matches an intention you configured and no sales rep is currently active on the chat - sending either a response template or launching a prepared Salesbot sequence.
That is worth reading precisely, because it is the clearest example of the middle level. The customer does meet the AI. But the AI is picking between branches you built, so the quality of the answer is the quality of your script, and a change to your price list is a change to your script.
Suits a team already invested in Salesbot that wants the bot to choose the right branch instead of presenting a menu.
5. CRAIM
Our own product, so read this entry with that in mind. It is a CRM built around AI employees that own a defined part of the work rather than assisting with it.
You write the role and the instruction in ordinary language - what this employee handles, how it should sound, what it must never promise. It answers from your own knowledge base and product catalogue, so updating the price list updates the answers, with no script to rewrite. It works in WhatsApp, Telegram, Avito, Max and Meta channels, and it makes outbound voice calls; during a live call it can still look up the catalogue and the customer's record.
The part worth comparing against everything else on this list is what happens at the edge. Every action an AI employee can take is a named permission with its own approval rule. A discount inside the limit goes out. Above the limit it stops, and a person gets the request with the reason attached. The employee does not quietly decide it is fine, and nothing happens off the record.
Processes sit alongside that: a trigger, the participant whose turn it is, conditions, waits and actions - with AI employees and people as participants in the same flow, so a handoff is a step in the process rather than someone noticing a chat.
If you are moving in, it imports contacts, deals, tasks and companies from amoCRM, Bitrix24 and HubSpot, and from amoCRM also the pipelines with stage mapping and the SMS and call history logged on the records, though not messenger chats, which amoCRM keeps in a separate API. CSV with column mapping covers everything else. The import runs one way on purpose: CRAIM is meant to be where the record ends up, not a second copy to keep in sync.
On scope, so the entry is not oversold: CRAIM works in messengers and on calls. The one mailbox it runs is a Gmail inbox for the Shopify support employee; calls are outbound only.
Suits a company whose inbound arrives in messengers around the clock, and where somebody still has to approve a discount or a promise before it reaches a customer.
6. OkoCRM
A sales CRM with AI agents as a headline feature.
By the vendor's description the agents work across every connected channel - site chat, messengers, social networks - and draw on the CRM card, previous conversations, calls, tasks and documents, plus a knowledge base they are trained on. When a conversation goes past what the agent should handle, it connects a manager and passes the full context of the dialogue across. OkoCRM states agents close up to 78% of chats without a manager, and that pricing depends on the volume of requests.
Suits a team that wants a customer-facing agent running quickly with company documents behind its answers.
7. HubSpot
A marketing, sales and service platform where the CRM is one part of a much larger whole.
Its AI is Breeze, and it is unusually explicit about what each piece does: separate named agents for content, prospecting, customer service, data, campaigns, nurture and revenue collection, plus an Agent Builder for making your own. The Customer Agent resolves enquiries automatically across channels. HubSpot states Agent Hub is included in the Starter, Professional and Enterprise editions, while custom agents built in Agent Builder consume HubSpot Credits.
Suits a company whose marketing already runs on HubSpot and wants agents working over the same data.
8. Salesforce
The enterprise default, and the heaviest system on this list to set up.
Agentforce is its agent platform: autonomous support on the web, on the phone and in apps, reasoning over business context rather than following a fixed branch, and escalating to human agents when a case goes past what it should resolve. Salesforce offers Flex Credits, Resolutions or per-user licensing depending on how it is deployed.
Suits a large organisation already standardised on Salesforce, with people whose job is to configure it.
Side by side
The same eight systems on the two questions that decide whether an AI is a convenience or a liability: does it ever speak to your customer, and what stops it when it should stop.
| System | What its AI mainly does | Speaks to the customer | What stops it |
|---|---|---|---|
| Bitrix24 | Transcribes calls, summarises, fills deal fields, drafts text | Not claimed on the feature page | Not applicable |
| Zoho CRM | Predicts and scores, generates records and reports, agents for business tasks | Not what the CRM page promises | Not stated |
| RetailCRM | Chatbots, marketing scenarios, call transcription and tagging | Yes, through chatbots | Not stated |
| amoCRM | Matches an intention, sends a template or starts a Salesbot branch | Yes, when no rep is active on the chat | An active rep takes over |
| CRAIM | Answers from company knowledge and catalogue, qualifies, books, moves the deal | Yes | Per-action approval rules; sensitive actions wait for a person |
| OkoCRM | Answers from the CRM card and a knowledge base | Yes | Hands the dialogue to a manager with full context |
| HubSpot | Named agents for content, prospecting, service, data | Yes, the Customer Agent | Not stated on the page |
| Salesforce | Reasons over business context and resolves cases | Yes | Escalates to human agents |
Five questions worth asking any vendor
These are the ones that change the answer, and none of them are answered by a demo where everything goes right.
- Which of the three levels am I getting on the plan I am actually being quoted? Agent features frequently sit one tier above the price in the conversation.
- Where does the answer come from - a script I maintain, or my own documents and price list? Only the second one survives a price change without an edit.
- Show me the moment the AI is about to do something expensive. Ask for the approval screen, not the slide about approvals.
- What does a handoff look like from the customer's side, and does the person picking it up get the whole conversation or the last message?
- What does a busy month cost? AI usage is usually metered separately from seats, and the meter is the part companies discover late.
The short version
If what you want is to stop your team retyping calls into fields, level one is genuinely enough, and Bitrix24, Zoho and RetailCRM all do it well.
If your inbound arrives in messengers and the queue builds overnight, nothing below level three will help, because the whole value is in the hours when nobody is at a desk.
And whichever you choose, the demo to ask for is not the one where the AI answers correctly. It is the one where it is about to answer wrong, and something stops it.