Kommo CRM AI Integration

Why integrate AI with Kommo

Kommo is one of the most flexible messaging-first CRMs on the market, but out of the box it does not summarise a lead, score deal health, or draft a follow-up. An AI layer on top of Kommo removes 15–30 minutes of manual research per lead and pushes structured intel back into the pipeline where SDRs already work.

The integration described here is the same one KommoAi ships with: a read/write API key connection, a strict JSON schema for enrichment, and idempotent writes so failed jobs never pollute your CRM.

Prerequisites

You need a Kommo workspace on any paid tier, an admin login, and 10 minutes.

• Admin access to Kommo (to mint an API key)
• A pipeline you are willing to pilot on — pick your lowest-risk one
• An enrichment provider (KommoAi, or a self-hosted model — both work)

Step 1 — Generate a Kommo API key

In Kommo, open Settings → Integrations → Create integration. Give it read+write on Leads, Contacts, Companies, Notes and Tasks. Copy the long-lived access token — it is only shown once.

Step 2 — Connect the copilot

Paste the token and your subdomain into KommoAi's Connect page. The connector performs a whoami call and pulls your pipelines so you can pick which one Copilot listens to.

Step 3 — Enable Copilot on one pipeline

Start with a single pipeline. Every new lead is enriched, scored, tagged and gets a suggested next task within seconds. Nothing is written until enrichment passes schema validation.

Step 4 — Review, then expand

Give it a week. Compare Copilot's health score against your own gut on 20 deals. Once you trust it, flip Copilot on for the rest of your pipelines.

FAQ