AI agents

AI connectors for your contact center

An AI connector is the link between AI and your company's software: CRM, accounting, scheduling, and the knowledge base. Without it, AI knows only general information and can at best tell customers where to go. With it, AI sees the customer's order, open time slots in the schedule, and the balance due on an invoice, and resolves the issue itself: it reschedules an appointment, issues an invoice, or hands a task to a manager. Each action needs its own permission and is written to a log.

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CONTACT.WORKYour systemsdemo data

AI connector · your apps

CRMrecords and dealsBitrix24

Accountingorders and invoices1C

Bookingtechnician scheduleYCLIENTS

Knowledgepolicies and instructionsConfluence

CONTACT.WORKAI toolsdemo data

Connector tools

find_orderfind orderread

move_visitreschedule bookingwrite

make_invoicesend invoicewrite

refundissue refundwith confirmation

CONTACT.WORKLogdemo data

AI audit log

10:02customer lookup in CRMsuccess

10:02order status in 1Csuccess

10:03task for repcreated

10:05refundawaiting “yes”

13systems connect out of the boxOthers built to order

Permissionsfor every actionRead, write, or with approval

A logof every AI stepWho, what, and when

Anymodel that supports connectorsCloud-based or self-hosted

Experience

What we account for when building a connector

Connecting AI to software is only the beginning. What matters is that it doesn't make mistakes with real customers.

Clear toolsWe give each action a precise name and description so the model doesn't confuse looking up an order with creating one.

Only the fields neededWe pass the model a few relevant CRM fields instead of the whole record: faster, cheaper, less extra data.

A pause in the conversationOn a call, the system has to respond quickly. If it lags, AI asks the customer to hold for a second while it checks the data.

No duplicate actionsIf the connection drops midway, a repeated request won't create a second invoice or a second appointment.

Masked dataPhone numbers, addresses, and ID details are masked before a request goes to an external model.

Text isn't a commandA line in a customer comment or email can't give AI orders: to AI, it's just data.

Use cases

Where AI with a connector helps your contact center

Three common cases: the trigger, what AI does, and what your team gains.

Customers check and change everything themselves

A customer asks when their order will arrive, or messages on WhatsApp that they can't make their appointment. The AI consultant finds the order in your order management system by the caller's phone number and gives the delivery date, moves the booking to an open slot in your scheduling system, and confirms the new time. Employees only see these questions in the log, if at all.

Order lookup by number
Appointment rescheduling
No wait for a person

CONTACT.WORKCustomer orderdemo data

AI consultant · order and booking

Order#4815 packed1C

Deliverytomorrow, 10 AM-2 PMreply

BookingFri 3:00 PM → Sat 11:00 AMYCLIENTS

To customernew time in MAXsent

Use case 1 of 3

Invoice issued, balance stated

A customer asks for an invoice to renew a service. AI takes the billing details from the CRM, issues the invoice in your accounting system, and emails it to the customer. If there is an outstanding balance, AI states the amount from your accounting data and offers to clear it in a single payment.

Invoice from CRM billing details
Sent by email
Balance from accounting

CONTACT.WORKInvoicedemo data

Renewal invoice

Payment detailsfrom CRM recordCRM

Invoice#312 for $2,4001C

Shipmentto customer emaildone

Balance due$800 for Septemberin one payment

Use case 2 of 3

Complex questions go to the account manager with all the data

A customer asks for a discount on a large order – AI doesn't decide that. It transfers the conversation to the assigned account manager, whose call window already shows the deal history from the CRM, a short conversation summary, and the relevant policy from Confluence. No need to ask the customer again or dig through software.

Transfer to the account manager
Deals and summary on screen
The right policy

CONTACT.WORKHandoverdemo data

Transfer · bulk order

Discountfor a bulk ordertransfer to Mike

Deals3 this yearCRM

Summarywants wholesale, 500+ unitsfrom AI

Ruleswholesale discounts, item 3Confluence

Use case 3 of 3

Once set up, a connector is available to every AI agent on the platform, each with its own permissions.

Users

Three kinds of AI, one set of connectors

For customers

AI consultant: answers and simple operations

It answers customers based on data from your CRM, accounting, and scheduling, and handles simple operations itself: booking, rescheduling, invoices, tickets. It transfers complex questions to a manager with a short recap of the conversation.

Answers based on customer data
Simple actions without a person
Complex cases to a manager

CONTACT.WORKAI consultantdemo data

AI consultant · day

Ordersanswered itself312

Recordingsrescheduled itself48

Invoicessent itself17

To repshanded off with summary26

For employees

AI assistant working alongside employees

During a conversation, it shows the customer record and instructions, and when the call ends, it logs the outcome in the CRM itself. The employee focuses on the customer, not on searching through software.

Customer record on screen
Call outcome logged in the CRM
Instructions on screen

CONTACT.WORKAgent windowdemo data

Agent window

CRMcustomer dataon screen

Instructionsright itemon screen

After the callsummary in CRMlogged

Window switchesnoneone window

For managers

Your AI through an MCP server

Connect your own AI assistant to the platform: Claude, ChatGPT, or an agent your developers built. A manager asks it how many customers called back about the same topic in October and gets a list with sample conversations; AI launches a follow-up campaign to that list only after approval. The technical details are on the MCP connectors page.

Any AI that supports MCP
Repeat calls by topic
Campaigns only after approval

CONTACT.WORKManager questiondemo data

Your AI · manager's question

Questionrepeat callsOctober

Topicdelivery – 214 customersMCP

Examples12 callslisten

Campaignapologies to customersfor approval

AI sees your dataAI pulls the customer's orders, appointments, invoices, and deals straight from your systems instead of guessing.

AI acts instead of advisingIt reschedules appointments, issues invoices, and creates tasks, so customers don't wait for an available employee.

Less busywork for peopleAI resolves routine questions by itself and hands complex ones to a manager with a summary of the conversation.

Actions you controlEach operation has its own permission, a person approves risky steps, and every call shows up in the log.

Launch

How we build an AI connector

01Use casesWe pick the questions AI will resolve by itself and the cases that need an employee.
02AccessYour systems administrator creates a separate user for AI or issues an access key.
03ToolsWe describe each action and its permissions: read, write, or with confirmation.
04TestingWe run AI on test data and recorded conversations and review the log.
05LaunchWe turn on the connector and review the log from the first weeks together with you.
06Ongoing supportWe update the connector when your system's API or your rules change.

The difference

AI with and without a connector

	With an AI connector	Without a connector
Customer asks about an order	Gives the order status and delivery date	Asks them to wait for an employee
An appointment needs to move	Reschedules the booking itself	Gives the front desk number
An invoice is needed	Issues the invoice and emails it	Promises someone will send it
The question is complex	Passes the manager the summary and history	Transfers with no details
Where the answer comes from	Data from your software	The model's general knowledge

Requirements

Requirements and cost

Systems: Accounting systems, CRM, scheduling, document storage, and in-house software
Model: Cloud-based or installed on your servers
Hosting: On the platform server – in the cloud or on yours
Permissions: Set for each operation
Log: Every call and every system response
Cost: Prebuilt: support hours; new: development hours

Preparation

Questions to answer before development

Which questions go to AI?Frequent and simple ones: orders, appointments, invoices.

Which software should we connect?CRM, accounting, scheduling, instructions.

What needs approval?Refunds, cancellations, large amounts.

Who grants access?Your systems administrator.

Where will the model run?That determines where the connector goes.

Which data should be masked?Phone numbers, addresses, ID documents.

Q&A

Frequently asked questions

Aren't an AI connector and MCP the same thing?

No. MCP is an open standard for connecting AI to other software. An AI connector is built on it and connects AI to one specific system, such as Bitrix24, with the right set of operations and permissions.

MCP connectors →

How is it better than a regular API integration?

A regular integration follows a fixed rule: the call ends, a record appears in the CRM. A connector has a set of operations, and AI chooses which one to use based on the customer's question.

Which software already has connectors?

Bitrix24, Kommo (amoCRM), Confluence, and Google Drive, along with popular accounting, inventory, CRM, booking, and cloud storage systems. We also connect MySQL and PostgreSQL databases and any REST service.

What if our software isn't on the list?

We build a new connector if the software has an API or database access. It's billed as development.

Does the connector work with on-premises Bitrix24?

It works with both: cloud Bitrix24 and the self-hosted version installed on your servers – through their APIs.

How do we figure out what went wrong if AI makes a mistake?

The log shows which operation AI called, with what data, and what the system returned. Until the cause is found, you can switch that operation to read-only.

What if the CRM or accounting system is down?

AI doesn't make up an answer: it tells the customer it can't check the data right now and creates a task for an employee or offers a callback.

Will we hit our CRM's API limits?

We account for them: if there are too many requests, they queue up and run in order, so nothing gets lost.

How do we know if a connector stops working?

We find out first: if a system stops responding – say, a password or the API changed – we get an alert and fix the connector before customers complain.

Will AI do something irreversible without asking?

No. Order cancellations, refunds, and other risky operations wait for an employee's approval.

Will personal data reach an external model?

Not necessarily: phone numbers and ID details are masked before sending, and if you need full isolation, the model runs on your servers.

Can we use our own AI?

Any AI that supports MCP works: through the platform server, it gets analytics, calls, and chats and can assign tasks – strictly within the limits you set.

How long does a new connector take?

A prebuilt one is turned on during setup. The timeline for a new one depends on your software's API and the number of operations – we give an estimate after reviewing the task.

How much does an AI connector cost?

Connecting a prebuilt one is billed in support hours; a new one is quoted as development. No licenses.

Support plans →

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Glossary

Terms on this page

Connector: A prebuilt module that links the platform with telephony, a CRM, or another system. Learn more →
CRM – customer relationship management: Where a company keeps its customers, deals, and full communication history. Learn more →
MCP (Model Context Protocol): An open protocol that lets AI work with the data and actions of other systems. Learn more →
API (application programming interface): The way programs exchange data with each other without a person in the loop. Learn more →
On-premises deployment: The system runs on the company's own servers, not in the vendor's cloud. Learn more →
Cloud deployment (cloud): The platform runs on the vendor's servers, and agents connect over the internet. Learn more →
Customer record: The screen of customer data an agent sees during a conversation. Learn more →
Knowledge base: All answers, policies, and prices in one place – for agents and AI. Learn more →
Hosting: You rent a server from a provider instead of buying one. Learn more →
REST: exchanging data between systems over HTTP: The standard way software exchanges data over the internet. Learn more →
Callback: The customer doesn't wait on hold but asks for a callback – and gets one when an agent is free. Learn more →
Personal data: Anything that points to a specific person: a name, a number, a voice. Learn more →

Blog

Fresh from the blog

All articles →

Services · 7 min read Custom development of your contact center platform for your processes When contact center settings are not enough: integrations, modules, AI workflows. How to tell development from configuration and estimate the payback. Read the article → Management · 9 min read How many agents does your contact center need? Erlang C in plain English Calculate contact center staffing with Erlang C: workload, service level, shrinkage, and headcount by shift – all in one worked example. Read the article → Integrations · 7 min read CRM and phone system integration: what it does and how it works How to connect your phone system to your CRM: calls and recordings in the record, screen pop, click-to-call. What to decide first and how to check it works. Read the article →

Updated: November 10, 2026