Kommo AI voice integration · inbound and outbound CRM automation

Kommo AI voice conversations that end with a clear sales action.

TWINMIND connects inbound and outbound AI calls to Kommo. After each conversation, the workflow finds or creates the contact, selects or creates the lead, updates the approved pipeline stage and prepares the employee's next task.

Kommo AI agentInbound + outboundContacts + leadsPipeline + follow-up
Customer says“The prospect is interested, asked for pricing and wants a sales call tomorrow.”
TWINMIND AIUnderstand
Decide
Act
Voice operating layer
KommoBusiness work completed
50+integrations built for the Newo ecosystem
2 yearsworking with production conversational AI agents
10+senior engineers across AI, backend and mobile
20+specialists across engineering, operations and language

The business problem

AI should remove work—not create another inbox.

A useful Kommo AI agent does more than speak. It understands the request, follows your rules, changes the correct system and knows when an employee must take over.

01

Good calls disappear into memory

A prospect shows interest, but the pipeline stage, context and next action depend on somebody updating Kommo after the call.

02

Outbound outcomes are inconsistent

Completed calls, voicemail, no-answer and failed attempts are recorded differently—or not recorded at all.

03

Existing leads are duplicated or moved

A generic automation creates another record or changes a mature opportunity without respecting the current pipeline state.

04

Sales follow-up starts without context

The employee receives a task but not the reason, conversation outcome, promised next step or customer history.

Already built

A production foundation for Kommo AI automation.

These capabilities are grounded in TWINMIND's published integration and working implementation—not a generic list of API ideas.

01Built

Inbound and outbound call classification

Normalise every completed session into a direction and outcome, including voicemail, busy, no-answer, cancelled and failed calls.

02Built

Contact find, create and update

Use phone or email to find the Kommo contact, enrich the known record or create the person when no match exists.

03Built

Lead selection or creation

Choose from leads already linked to the contact or create a new lead in the configured pipeline and target stage.

04Built

Controlled pipeline movement

Apply configured stage decision rules and optionally preserve the pipeline and stage of every existing lead.

05Built

Structured conversation notes

Write the call result and useful context to the lead timeline when lead notes are enabled.

06Built

Employee follow-up tasks

Create a Kommo task with a responsible user and deadline after the lead is ready for human action.

Inbound and outbound Kommo journeys

Two call directions. One disciplined CRM outcome.

The Kommo module owns post-call CRM synchronisation. Audience selection, customer consent and campaign retry policy remain explicit upstream responsibilities—not hidden assumptions inside the CRM write.

Inbound journey

A prospect calls your business.

  1. AI answers and qualifies the request
  2. Phone or email identifies the Kommo contact
  3. An existing lead is selected or a new lead is created
  4. Stage, note and follow-up task record the next step
Outbound journey

An approved campaign starts the call.

  1. Upstream campaign supplies the target and consent policy
  2. AI conducts the conversation or reaches voicemail/no-answer
  3. The result is classified consistently after the session
  4. Kommo receives the approved stage, context and employee task

How the operating layer works

One request moves through the complete business process.

Customer request“The prospect is interested, asked for pricing and wants a sales call tomorrow.”
01

Classify the call result

The session is recorded as inbound or outbound and classified as completed, voicemail, busy, no-answer, cancelled or failed.

02

Match the Kommo contact

The integration searches by phone or email, updates the existing person or creates a new contact when required.

03

Select the correct lead

The workflow uses an existing related lead or creates one in the selected Kommo pipeline and approved stage.

04

Save the next action

Optional lead notes and a follow-up task preserve the result, owner and deadline for the sales employee.

Implemented post-call runtime

The integration turns a finished call into connected Kommo records.

The published Kommo module processes session-end events. It normalises direction and outcome, synchronises the contact, resolves the related lead and can continue through pipeline, note and task flows—all controlled by account settings.

Review the Kommo integration guide
  1. 01Session result normalised

    Inbound or outbound direction and a canonical call result enter the CRM workflow.

  2. 02Contact synchronised

    Phone or email finds the existing contact; missing contact data is created or updated.

  3. 03Lead resolved safely

    Related leads are inspected before the workflow creates a new opportunity or changes an approved stage.

  4. 04Human work prepared

    Optional timeline notes and a responsible-user task preserve the promised next action and deadline.

Built around your operation

Extend the workflow beyond the standard integration.

These are common extensions TWINMIND can design and implement after we map your process, permissions and business systems.

Pre-call customer history

Load known Kommo contact and lead context before the conversation so the agent can continue an existing relationship.

Outbound campaign orchestration

Connect an approved campaign source, consent policy, schedules and retry rules to the Kommo post-call workflow.

Sales employee handoff

Transfer a live call through the approved telephony layer or create a precise Kommo follow-up task when immediate transfer is unavailable.

Custom qualification schema

Extract business-specific fields such as product interest, budget, location, urgency and agreed next step.

OAuth, pipelines and failure handling

CRM automation must respect the account already in production.

Kommo API actions use the permissions of the user who authorised the integration. TWINMIND adds pipeline discovery, feature switches and existing-lead safeguards before CRM writes are enabled.

Read Kommo's official OAuth model
  1. 01

    Kommo OAuth

    A private or approved public integration exchanges a one-time code for protected access and refresh tokens.

  2. 02

    Automatic token refresh

    When the access token expires, the runtime can refresh it and save the new token pair before retrying CRM work.

  3. 03

    Synced pipeline model

    Setup reads the account pipelines and stages before business rules can select a destination.

  4. 04

    Existing-lead protection

    An explicit setting can keep existing leads in their current pipeline and stage while still saving the call outcome.

  5. 05

    Feature-level switches

    Pipeline updates, lead notes, follow-up tasks and pre-call history are enabled independently and verified before launch.

  6. 06

    Actionable errors

    Missing contact, pipeline, stage, owner or deadline data stops the affected write and records the reason for diagnosis.

The business case

What changes after the agent can complete the work.

We start with a measurable operating problem and design the AI workflow around the result—not around a demo.

01

Every call has a CRM outcome

Inbound and outbound conversations finish with a consistent direction, result and linked Kommo record.

02

Fewer duplicate leads

Contact and related-lead lookup happens before the workflow decides whether a new opportunity is required.

03

Pipeline data reflects the conversation

Approved stage rules, lead notes and tasks are applied immediately after the session.

04

Sales knows exactly what to do next

The responsible employee receives the context, action and deadline instead of a vague call-back reminder.

Kommo AI implementation plan

From call outcome to a reliable sales follow-up process.

The technical integration is only one layer. Production readiness also requires an agreed qualification model, pipeline ownership and a lawful outbound campaign policy.

  1. 01

    Map call outcomes

    Define inbound and outbound sources, qualification fields, consent owner, call results and the employee action expected after each result.

  2. 02

    Authorise Kommo

    Create or approve the OAuth integration, connect the target account and verify token refresh without exposing credentials.

  3. 03

    Sync CRM structure

    Select the pipeline, load available stages and define rules for new leads, existing leads, notes and follow-up tasks.

  4. 04

    Test session outcomes

    Run completed, voicemail, busy, no-answer, failed, duplicate-contact and multiple-lead scenarios in a safe pipeline.

  5. 05

    Launch one journey

    Release one inbound queue or approved outbound campaign, monitor CRM quality and expand after the baseline is stable.

Kommo AI use cases

Start where time, money or customer demand is being lost.

Every implementation begins with the systems and operating rules already present in the business.

Inbound sales reception

Answer new enquiries, capture contact details and create the correct opportunity and next task in Kommo.

Outbound lead qualification

Record interest, voicemail, no-answer and follow-up outcomes consistently after every campaign call.

Messaging-led sales teams

Keep the CRM contact, lead, notes and follow-up work aligned with voice and messaging journeys.

Multi-pipeline businesses

Discover pipelines and stages, then apply approved rules for product, geography or sales team.

Reactivation campaigns

Call selected customers, capture the new intent and reopen or update the appropriate sales work.

High-volume lead operations

Remove repetitive post-call entry while preserving the employee's ownership of qualification and closing.

Newo voice technology

Why voice-to-voice matters for Kommo sales conversations

Sales calls contain interruptions, objections and incomplete answers. Newo handles the natural conversation. TWINMIND turns the final outcome into controlled Kommo contacts, leads, stages, notes and employee tasks.

Why TWINMIND

The team that built the integration can build the operation around it.

TWINMIND is one of the main integration contributors in the Newo ecosystem. Our engineers understand agent tools, prompts, failure paths, system APIs and the business rules required for production.

  • 10+ strong engineers, including senior specialists with 20+ years of experience
  • Dedicated scenario and language specialists for natural customer conversations
  • One accountable team from process discovery to launch and production support
  • Custom backend, mobile, CRM, ERP, contact-centre and document workflows
Discuss your Kommo project Call our AI agent · +31 970 102 25723

Kommo AI voice integration FAQ

Questions buyers and implementation teams ask.

What is a Kommo AI voice agent?

A Kommo AI voice agent handles an inbound or outbound customer conversation and connects the outcome to Kommo CRM. The TWINMIND integration can synchronise contacts, select or create leads, update approved stages, add notes and create follow-up tasks.

Can the AI create and update Kommo leads?

Yes. The current integration can select a lead already linked to the contact or create a new one in the configured pipeline. Pipeline updates can be enabled separately and existing lead stages can be preserved.

Does it support outbound calls?

Yes. The post-call workflow distinguishes inbound and outbound sessions and records completed, voicemail, busy, no-answer, cancelled and failed outcomes. Campaign audience, consent and calling policy must be supplied by the approved upstream campaign process.

Can it create a task for a sales employee?

Yes. When enabled, the integration creates a lead-linked follow-up task with task text, a responsible Kommo user and a deadline.

How does the integration avoid moving the wrong lead?

It checks the contact's linked leads and uses configured pipeline stages and decision rules. A specific setting can preserve the current pipeline and stage for existing leads.

How is Kommo API access secured?

The integration uses Kommo OAuth. Access and refresh tokens are stored in protected configuration, refreshed when required and used with the rights of the Kommo user who authorised the integration.

Continue your research

Odoo AI voice and operationsSee how one conversation can create CRM, booking, document and follow-up work.Enterprise controls for AI operationsReview access boundaries, approvals, monitoring, failure handling and production support.Technical delivery for AI agenciesAdd TWINMIND engineering and integration experience to a complex client project.

Start with one costly process

Show us how Kommo works today. We will show you what AI can run tomorrow.

In the first conversation, we will identify the highest-value workflow, the systems involved and the safest path to production.

Discuss your process Call our AI agent · +31 970 102 25723