KunimiAI

OverviewFor Executives

Use analysis to inform decisions and action.

KunimiAI is designed to connect business questions with source data, shared definitions, and execution history. Teams can evaluate how this supports their existing workflows.

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  1. 01 / THE OLD WAYStarting question

    "Top-account churn went up. Why?"

    Review the change in metrics, then investigate causes and possible actions.

  2. 02 / WITH KUNIMIAIExample workflow

    KunimiAI links the question directly to data sources, analysis, and operational workflows.

    Example workflow: identify account churn correlating with price adjustments and generate pricing review tasks.

  3. 03 / WHAT PERSISTSFor future analysis

    The query logic, underlying evidence, and resulting workflow are saved as reusable assets.

    Next quarter, another team, another region — none of them start from zero.

01 / How Data Work Stops Short

Stored, cleaned, viewed — and stopped.

While organizations store vast amounts of data, connecting analytical insights directly to operational execution remains a common challenge.

  1. Just Stored

    Gathered into lakes, but lacking a lens.

    Effective data workflows require consistent metric definitions, clear access governance, and direct integration with operational systems.

  2. Just Cleaned

    Cleaned for the dashboard, not for the decision.

    Traditional reporting often stops at visualization, requiring data teams to rebuild pipelines for each new question.

  3. Just Viewed

    The number was seen, but the behavior didn't change.

    Dashboards show current metrics, but without direct links to operational workflows, analytical findings rarely translate into coordinated action.

02 / How KunimiAI Operates

From analysis to execution: a unified workflow run end to end.

  1. 01

    Observe

    Bring source data into one workspace.

    Cross-functional data analysis is often scattered across tickets, spreadsheets, and meetings. KunimiAI centralizes source data, business definitions, and query history in one workspace.

  2. 02

    Discover

    Review results and their supporting data.

    Convert business questions into reproducible analyses that teams can inspect and validate for recurring reviews.

  3. 03

    Act

    Use analysis in daily workflows.

    Queries, generated code, results, and context are tracked together, allowing teams to build on past analyses rather than starting from scratch.

↻ Next quarter's question loops back to a new observation here.

03 / What Changes for the Business

Three points to check during evaluation

Share the context behind each analysis

Queries, analyst workflows, and operational context remain linked, preserving shared business definitions across finance, operations, and data teams.

Keep approval and access records

Analyses maintain an audit trail with access permissions, allowing reported metrics to be referenced and verified during subsequent reviews.

Reuse recurring analyses

Check whether recurring analyses can be saved and reused for future work.

Next Steps

Two ways to evaluate KunimiAI.

For Executives

Request an Executive Briefing.

A 30-minute introductory session with a founder to discuss your data challenges and evaluate how KunimiAI can support your workflows.

Request a Briefing

For the Team You'll Bring In

Hand the technical details to your Head of Data.

Implementation details, governance models, and integration paths. Designed for technical leaders to read after the business value is clear.

Open Technical Detail →