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.
Kommo AI voice integration · inbound and outbound CRM automation
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.
The business problem
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.
A prospect shows interest, but the pipeline stage, context and next action depend on somebody updating Kommo after the call.
Completed calls, voicemail, no-answer and failed attempts are recorded differently—or not recorded at all.
A generic automation creates another record or changes a mature opportunity without respecting the current pipeline state.
The employee receives a task but not the reason, conversation outcome, promised next step or customer history.
Already built
These capabilities are grounded in TWINMIND's published integration and working implementation—not a generic list of API ideas.
Normalise every completed session into a direction and outcome, including voicemail, busy, no-answer, cancelled and failed calls.
Use phone or email to find the Kommo contact, enrich the known record or create the person when no match exists.
Choose from leads already linked to the contact or create a new lead in the configured pipeline and target stage.
Apply configured stage decision rules and optionally preserve the pipeline and stage of every existing lead.
Write the call result and useful context to the lead timeline when lead notes are enabled.
Create a Kommo task with a responsible user and deadline after the lead is ready for human action.
Inbound and outbound Kommo journeys
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.
How the operating layer works
The session is recorded as inbound or outbound and classified as completed, voicemail, busy, no-answer, cancelled or failed.
The integration searches by phone or email, updates the existing person or creates a new contact when required.
The workflow uses an existing related lead or creates one in the selected Kommo pipeline and approved stage.
Optional lead notes and a follow-up task preserve the result, owner and deadline for the sales employee.
Implemented post-call runtime
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 guideInbound or outbound direction and a canonical call result enter the CRM workflow.
Phone or email finds the existing contact; missing contact data is created or updated.
Related leads are inspected before the workflow creates a new opportunity or changes an approved stage.
Optional timeline notes and a responsible-user task preserve the promised next action and deadline.
Built around your operation
These are common extensions TWINMIND can design and implement after we map your process, permissions and business systems.
Load known Kommo contact and lead context before the conversation so the agent can continue an existing relationship.
Connect an approved campaign source, consent policy, schedules and retry rules to the Kommo post-call workflow.
Transfer a live call through the approved telephony layer or create a precise Kommo follow-up task when immediate transfer is unavailable.
Extract business-specific fields such as product interest, budget, location, urgency and agreed next step.
OAuth, pipelines and failure handling
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 modelA private or approved public integration exchanges a one-time code for protected access and refresh tokens.
When the access token expires, the runtime can refresh it and save the new token pair before retrying CRM work.
Setup reads the account pipelines and stages before business rules can select a destination.
An explicit setting can keep existing leads in their current pipeline and stage while still saving the call outcome.
Pipeline updates, lead notes, follow-up tasks and pre-call history are enabled independently and verified before launch.
Missing contact, pipeline, stage, owner or deadline data stops the affected write and records the reason for diagnosis.
The business case
We start with a measurable operating problem and design the AI workflow around the result—not around a demo.
Inbound and outbound conversations finish with a consistent direction, result and linked Kommo record.
Contact and related-lead lookup happens before the workflow decides whether a new opportunity is required.
Approved stage rules, lead notes and tasks are applied immediately after the session.
The responsible employee receives the context, action and deadline instead of a vague call-back reminder.
Kommo AI implementation plan
The technical integration is only one layer. Production readiness also requires an agreed qualification model, pipeline ownership and a lawful outbound campaign policy.
Define inbound and outbound sources, qualification fields, consent owner, call results and the employee action expected after each result.
Create or approve the OAuth integration, connect the target account and verify token refresh without exposing credentials.
Select the pipeline, load available stages and define rules for new leads, existing leads, notes and follow-up tasks.
Run completed, voicemail, busy, no-answer, failed, duplicate-contact and multiple-lead scenarios in a safe pipeline.
Release one inbound queue or approved outbound campaign, monitor CRM quality and expand after the baseline is stable.
Kommo AI use cases
Every implementation begins with the systems and operating rules already present in the business.
Answer new enquiries, capture contact details and create the correct opportunity and next task in Kommo.
Record interest, voicemail, no-answer and follow-up outcomes consistently after every campaign call.
Keep the CRM contact, lead, notes and follow-up work aligned with voice and messaging journeys.
Discover pipelines and stages, then apply approved rules for product, geography or sales team.
Call selected customers, capture the new intent and reopen or update the appropriate sales work.
Remove repetitive post-call entry while preserving the employee's ownership of qualification and closing.
Newo voice technology
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
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.
Kommo AI voice integration FAQ
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.
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.
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.
Yes. When enabled, the integration creates a lead-linked follow-up task with task text, a responsible Kommo user and a deadline.
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.
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.
Start with one costly process
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