FLOWLEXI.

00 / AI applications

Expand what your team can deliver.

Flowlexi connects your data and systems and uses AI to prepare evidence and coordinate follow-up. Your team can review more cases, deliver better guidance and follow through on decisions — with people responsible for the outcome.

01 / In use

A real application. Available to use today.

02 / Your operation

Start with work you recognize.

See what we can build with your team around a recurring task: less manual preparation, more completed work, and quality your team can check.

03 / Approach

Give each decision to the right part of the process.

Retrieve the relevant source. Use a model to interpret a document or prepare a draft. Apply explicit rules to prices, permissions, and thresholds. Ask the responsible person when judgment or approval is needed, then continue the same flow. Each result has evidence; each action has a defined path.

Read the plain-language guide 
STRUCTURE RETRIEVE DECIDE EXECUTE

04 / Implementation

Start with one task. Measure what improves.

Agree on the useful output, who reviews it, and how to measure quality, effort and cost. Your own team can build on the platform. Optional consulting, integration and implementation have a separate scope and price from Cloud hosting.

05 / Products

Retrieval and workflows for your applications.

06 / Managed operation

Flowlexi Cloud

Managed PaveDB for retrieval. Managed Flymmatik for AI workflows. When your team is ready to build, choose your services and plans on Cloud. Flowlexi handles the infrastructure.

07 / Go deeper

Code, field notes, and a book in progress.

08 / Contact

What should your team be able to do better?

Which recurring task takes too much preparation or leaves work unfinished? Tell us who does it, how often, and what a useful result looks like. We can scope a first application with your team and agree how to evaluate it.

Tell us about your process. We’ll reply by email to agree the next steps.

Follow the founder

Rodrigo Pitanga 

I write about what it takes to put AI into production safely — the integration, governance and context that a demo never shows.