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The system that learns your team's work.

Every operational ticket - a data pull, an RCA, a reconciliation, a stuck customer - becomes a repeatable, increasingly automatic capability. Kairo solves it in the open, a human approves it, and the system gets smarter with every ticket.

kairo / solve in progress
auto-solving
Ticket · AN-0013 DG active base revisit
Playbook matched cohort-pl-funnel · v12
Context retrieved 4 scoped docs · 2.1k tokens
Read-only SQL drafted 3 statements · awaiting approval
Human review
92%
confidence
Approve
Edit draft
Playbook maturity
draft tested automatable
One loop

Solve → learn → get more autonomous.

Kairo isn't a chatbot bolted onto a database. It's an operating layer for your team's recurring work - where each solved ticket makes the next one cheaper.

01

File a ticket

Describe the task - a query, an analysis, a data-fix, a complaint. It lands in the right workspace with a category and priority.

02

Kairo solves it, in the open

It matches a playbook, retrieves scoped context, drafts read-only SQL, runs it where permitted, and records findings - every step visible as it happens.

03

A human reviews & approves

You approve the result, correct it in chat, or approve a query before it runs. Kairo never writes to external systems on its own.

04

The system learns

Every solve distills a reusable lesson back into the playbook and knowledge base - and bumps that playbook's maturity up the ladder.

See it live

Watch Kairo take a ticket from request to resolution.

Demo video coming soon.

"Why did DG active base dip last week?"
Playbook matched: cohort-pl-funnel · Drafting SQL…
read-only · awaiting approval SELECT
WITH base AS (
  SELECT user_id, DATE(created_at) AS d
  FROM dg_txn WHERE kind = 'purchase'
)
SELECT d, COUNT(DISTINCT user_id) AS active
FROM base WHERE d >= DATE('now','-7 day')
GROUP BY d ORDER BY d;
active users · last 7 days
Finding: -23% week-over-week, driven by a drop in reward conversions
Lesson distilled → playbook maturity bumped to "automatable"
Capabilities

Everything your team's recurring work already is - automated.

Six capabilities, one loop. Start where the pain is highest and add as you go.

Solve 1st-turn

Ticket solving

File a request - a data pull, an RCA, a reconciliation - and Kairo matches a playbook, retrieves the context it needs, and solves it step by step, in the open.

Learn draft→auto

Playbooks that learn

Every solved ticket distills a reusable lesson into a versioned playbook. Boring, well-understood tasks graduate from draft to tested to automatable - earned, not declared.

Context scope-gated

Knowledge that compounds

A permissioned knowledge base with hybrid keyword + semantic retrieval. Onboard a new hire by assigning modules - they inherit everything the system already knows.

Review approval-first

Human in the loop

Kairo drafts read-only SQL and analysis, and drafts the write-SQL for a human to run. Every solve is reviewed and approved - the judgment calls always stay with your team.

Trust control-first

Approvals & trust

Access is scoped to each person, and execution runs in tiers - draft only, needs approval, or auto-run. Everything is auditable, append-only per ticket.

Visibility per-solve

Dashboards & metrics

See what needs attention and how the system is learning - per-solve tokens, time, tool calls, and redundant work saved, all measured on every run.

Why it compounds

Most AI products are a feature. Kairo is an accumulating asset.

Playbooks, distilled facts, and past resolutions become retrievable context that makes every future solve faster and more accurate. The longer your team uses it, the deeper the moat.

How trust & safety work
Own your data

Every solve is proprietary training data you own - a data flywheel specific to your team's work.

Onboarding = inheritance

Grant a new analyst their modules and they inherit the accumulated know-how of everyone who held the role.

Autonomy is earned

Tasks graduate through a maturity ladder with a human in the loop - leverage without betting the business on a black box.