Best AI Agents for Bitrix24 in 2026: Top 10 and Comparison

Four types of "AI for Bitrix24": assistant, chatbot, agent, connector

The market's main confusion: one query, "a neural network for Bitrix24," is used to sell four different things. Telling them apart matters more than any ranking — it determines what actually gets taken off your managers' plates.

AI assistant (CoPilot / BitrixGPT). A helper built into Bitrix24 that performs a single task on the user's request: writes and rewrites texts, summarizes conversations and meetings, transcribes a call and fills in CRM card fields. It works reactively — inside one portal window — and does not start processes on its own. Distinguishing trait: reactivity, living inside the interface.

Open-channels chatbot. A bot assigned as responsible for an open channel (website, Telegram, WhatsApp, VK, Avito). It runs the dialogue with the customer, advises, collects a contact, creates a lead. Modern bots use AI for phrasing, but their role is a front-office dialogue, not running the deal inside the pipeline.

AI agent (digital employee). An autonomous system that is triggered by an event (a request, a message, a call, a schedule), breaks the goal into a chain of steps, remembers context, and adapts to the result. The difference in one phrase: an assistant writes a letter on command, an agent notices a cooling lead on its own, escalates it, and assigns the manager a task.

Connector layer. Not AI itself, but a linking layer (Albato, ApiX-Drive, n8n, REST API) that connects Bitrix24 to external systems — 1C, messengers, email, third-party LLMs. It gives the agent "hands," but doesn't think or answer the customer. A detailed breakdown of how a connector differs from an agent is in the article on AI agent vs Make, Zapier, and n8n.

From here, "agent" means only the third class. The assistant and chatbot are tools inside the portal, the connector is data transport — not an autonomous executor.

Comparison table: 10 AI solutions for Bitrix24

Prices marked with an asterisk (*) come from public reviews (Albato — top-10 AI agents for Bitrix24), not the vendors' own pages; verify exact plans with the services at the time of connection.

How we compared: six criteria

1. Solution type for the job. Assistant, chatbot, agent, and connector solve different things. A wrong choice here costs more than a price difference: a connector won't run a deal, and an agent is overkill if all you need is to draft a letter.
2. Autonomy and context memory. A scripted bot forgets the customer between sessions; an agent remembers context and carries a goal to its result through a chain of steps. For running a pipeline, this is the key distinction.
3. Official connection method. Safe means via REST API and an inbound webhook with permissions only for the sections needed, without handing over the portal's login and password. Anything that asks for a password or installs a "clicker" is a risk to the account.
4. Channels and telephony. Whether the solution answers in open channels (website, messengers) and parses calls from Bitrix24 telephony — without this, agreements get lost between the conversation and the task.
5. Hosting in Russia and 152-FZ. For customers' personal data, where requests are physically processed matters. Some services declare Russian hosting explicitly, some don't; worth checking before connecting.
6. One task or the whole cabinet routine. A narrow single-function service is cheaper. If there are many tasks, a separate subscription for each piece quickly gets more expensive than one agent.

BitrixGPT (a.k.a. CoPilot): the built-in assistant and its limits

Start with what's already in the portal. In 2026, Bitrix24's native AI is consolidated under one brand, BitrixGPT — the former CoPilot and the separate AI scenarios were merged into the "BitrixGPT Agent." Under the hood it's an orchestrator over external models (OpenAI, YandexGPT, GigaChat) plus a proprietary BitrixGPT 5 model running on servers in Russia — a strong argument where availability without a VPN and data storage in Russia matter.

What it actually does: generating and rewriting texts, summarizing conversations and meetings, transcribing calls with CRM card auto-fill, business emails, product descriptions, translation, business-process hints. This is a built-in assistant, not an autonomous executor: it works on command inside a specific module.

On limits and price. Basic access exists by virtue of having a portal, but is capped by the number of AI requests, and on the free plan there aren't many (per integrators — on the order of 100 requests per month; the official helpdesk doesn't publish exact per-plan numbers directly and recalculates them monthly). More requests come with paid plans and boosts; there's a separate "BitrixGPT + Marketplace" subscription. The platform's overall ceiling is no more than 600 requests per hour across the whole portal. The takeaway is simple: for texts and summaries in the card, the built-in assistant is enough, and it's the right starting point — but it won't run the pipeline.

Native Bitrix24 AI agents: Marta AI and colleagues

On June 18, 2026, Bitrix24 launched its own ready-made AI agents — the shift from assistant to agent that makes the portal worth a fresh look. There are several, all narrowly specialized:

• Marta AI — a personal employee helper: onboarding, answers about Bitrix24 itself, connecting services and data via the MCP Hub (1C stock levels, invoices, CRM updates).
• Customer auto-reply agent — handles requests in open channels (chats, messengers, social networks); the only ready-made one facing the customer.
• Knowledge-base agent — answers employees from uploaded regulations and documents.
• Project-management agent — collects task statuses and sends digests with overdue items and risks.

Autonomy is partial: an agent can be launched manually or set to start automatically on conditions — but the scenarios are preset and narrow. Ready-made agents can be enabled by any employee, while creating custom ones and changing settings is admin-only. A full no-code builder for arbitrary agents is marked "Coming soon" as of this article; custom logic can already be assembled via the "Bitrix24 VibeCode" (Beta) environment. Native agents are available on the Professional and Enterprise plans.

Honest about the boundary: native agents are strong inside the portal (support, HR, projects, open-channel auto-replies), but out of the box they don't run a deal across the whole pipeline end-to-end or build their own decision logic. This isn't a competitor to an external agent — it's a layer beneath it.

External chatbots and agents: Suvvy, Nextbot, Kolibri, TWIN, Tomoru

The "install an app and it talks to the customer" class. Here it's important to tell a bot from an agent.

Open-channel chatbots — Kolibri ("AI / ChatGPT chatbots," 640+ installs in Bitrix24.Market, token-based pricing ≈ 980 ₽ per 1M), bots from ITNebo and other vendors. They answer the customer in chat 24/7, offload operators, create a lead. Good when the task is first-line support and intake.

Voice agents — TWIN (omnichannel voice and chat, speech recognition in noise, creates and updates deals; price on request) and Tomoru (outbound calls and voice dialogues via the SiMiX connector). Their field is inbound and outbound phone contact, not running the card.

Qualifier agents — Suvvy and Nextbot: determine budget and need, tag "hot"/"cold," update deal fields, filter out irrelevant requests. This is closest to a "digital salesperson" at the top of the funnel.

A shared caveat for the class: almost all of them cover one stretch — the dialogue with the customer at the entrance. What happens to the deal afterward — stage progression, escalating stuck ones, tasks after a call — stays outside their scope.

Call speech analytics: Dialext

A separate class parses calls from Bitrix24 telephony. Dialext transcribes conversations (claimed accuracy above 90%), scores sales stages, and puts the score right into the card; plans run from 30,000 to 150,000 ₽/mo by call volume. There are similar modules from IT-Solution and other vendors (some Market services draw complaints about stability — check ratings before connecting).

Speech analytics is an after-the-fact analyst agent: it evaluates conversations that already happened but doesn't move the deal itself. How to turn a transcript into action — a task, a next step, a deal update — is covered in the articles on call speech analytics with a neural network and connecting AI to telephony.

Connector layers: Albato, ApiX-Drive, n8n — and why they aren't AI

Albato, ApiX-Drive, and n8n keep landing in "AI for Bitrix24" roundups even though they contain no AI. They're no-code connectors: they move data on a rigid rule — "a request came in → create a lead," "a stage changed → set a task." ApiX-Drive offers 335 ready connectors with pay-per-volume; n8n can be self-hosted for free; Albato holds 1,000+ integrations.

Their role alongside AI is to be the agent's "hands": to give it access to 1C, email, and external services that aren't in the Bitrix24 ecosystem. As a standalone solution, a connector doesn't think or answer the customer — it links systems. If the task is literally "move data from A to B," a connector is enough and an agent is overkill; the full boundary is covered in AI agent or Make, Zapier, n8n.

The Samreshuuu AI agent: an end-to-end pipeline, not point AI

Samreshuuu isn't a single-function app but an external AI agent for the business, for which work in Bitrix24 is one task among others alongside telephony, marketplaces, and other channels. There are exactly three differences from the solutions above.

Setup is by words, not development. An assistant lives inside the card, a chatbot is set up by a script, a custom bot has to be programmed. You explain the task to the agent like to an employee: "if an inbound lead goes unanswered for 15 minutes, remind the manager and raise the priority; after a call, pull out the agreements and set a task with a deadline; if a deal doesn't move for three days, send it back for review." Need something more complex — the agent assembles the required action itself. No programmer and no manual integration assembly.

Connection via the official REST API. It works through a Bitrix24 inbound webhook with permissions only for CRM, Tasks, and Telephony — without handing over the portal's login and password. This is the platform's standard mechanism; Bitrix24 telephony on Voximplant returns recordings and stats over the same API, so the agent parses calls in the same place where it runs deals.

It holds the whole "lead → deal → call" chain. Most solutions cover one stretch: a bot talked at the entrance, analytics scored a call, an assistant wrote a letter. Money is lost in the gaps between them — a lead cooled overnight, an agreement from a call didn't become a task, a deal stalled and no one noticed. The agent sees the inbound lead, watches reaction time, lifts agreements from a transcript into tasks, returns stuck deals, and rolls up managers' KPIs. The same agent works in amoCRM and across other channels under a single set of rules.

Honest about the downsides. If you only need to generate texts and summaries in the card, the built-in BitrixGPT is enough — a separate agent is overkill. If the task is just to move a website request into a lead on a rigid rule, a connector is enough. If all you need is a first-line dialogue with the customer, a narrow chatbot from the Market is simpler. An agent is justified where you need to run leads and deals, analyze calls, and make pipeline decisions. And the rules need to be described once in words — a bit longer than dropping in a ready template, but it doesn't work off a template either.

Checklist: how to choose AI for Bitrix24 in 15 minutes

1. Which solution type do you need? Texts and summaries in the card — built-in BitrixGPT. A dialogue with the customer at the entrance — an open-channel chatbot. Call parsing — speech analytics. Running leads and deals across the pipeline — an AI agent. Moving data between services — a connector.
2. Autonomy and memory. If you need the solution to remember customer context and carry a goal to its result, take an agent, not a scripted bot.
3. Official connection. REST API and an inbound webhook with permissions only for the needed sections. Asks for a login-password or installs a "clicker" — close the tab.
4. Telephony. If calls are part of the work, check whether the solution parses recordings from Bitrix24 telephony, not just chat.
5. Hosting and 152-FZ. For personal data, clarify where requests are processed and whether Russian hosting is declared.
6. Confirmation mode. Start with "draft → confirm" on large deals and customer replies; turn on automation where you trust the rule.

Frequently asked questions

How does an AI agent differ from a chatbot in Bitrix24? A chatbot answers by a script and forgets the customer between sessions. An AI agent is triggered by an event (a request, a call, a schedule), remembers context, breaks the task into steps, and acts autonomously: it notices a cooling lead itself, escalates it, and sets the manager a task.

How does BitrixGPT (CoPilot) differ from an AI agent? BitrixGPT is a built-in assistant that works on the user's request inside the portal: it writes and summarizes texts, transcribes calls. An AI agent is proactive — it initiates actions itself, runs the deal across the pipeline, and reaches into external systems via API when needed.

What is a digital employee in Bitrix24? It's an autonomous AI agent inside the CRM or on open channels that runs dialogue and routine by rules without constant human oversight. In 2026 Bitrix24 has its own ready-made digital employees (Marta AI, the auto-reply agent, and others) on the Professional and Enterprise plans.

How much does BitrixGPT cost and is there a free limit? Basic access exists by virtue of having a portal but is capped by the number of AI requests; on the free plan there aren't many. More comes with paid plans, boosts, and the "BitrixGPT + Marketplace" subscription. Bitrix24 recalculates exact per-plan limits monthly — check in your account.

Can you connect an external neural network — YandexGPT, GigaChat, ChatGPT? Yes. Bitrix24 lets you choose the model provider, and external agents and GPT connectors from the Market plug third-party LLMs into the portal. To work with external systems (1C, email), you additionally need a connector layer like Albato or a REST integration.

Which AI agent should I choose for answering customers in messengers? A solution with native open-channels integration (website, Telegram, WhatsApp, VK, Avito), context memory, and a fast first reply. Among external ones — chatbots like Kolibri and qualifier agents Suvvy or Nextbot; among built-in ones — the native Bitrix24 auto-reply agent.

Is it safe to give AI access to Bitrix24? Yes, if the connection goes over the official REST API through an inbound webhook (not a login-password), permissions are granted only for the needed sections, and the service has a "confirm" mode for important actions. Samreshuuu connects via API and by default sends questionable steps for confirmation.

Do you need a connector like Albato or MCP Hub? You do if the agent must work with external systems — 1C, Kontur.Focus, email, third-party services. For actions inside the portal (leads, deals, tasks, calls), connecting via REST API is enough without a separate connector.

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Last updated: July 2026.

Sources: Bitrix24 REST API documentation (inbound webhooks, access permissions) and Voximplant-based telephony; Bitrix24's official sections on AI agents and AI in the portal; the helpdesk "AI in Bitrix24" guide and materials on BitrixGPT limits; CNews — the launch of ready-made Bitrix24 AI agents, June 18, 2026; the Albato "Top-10 AI agents for Bitrix24" review; public pages of Suvvy, Nextbot, TWIN, Tomoru, Kolibri, and Dialext in Bitrix24.Market.