FLOWLEXI.

00 / AI applications

Flowlexi automates business reviews that depend on documents, rules and human approval.

It gathers the evidence, prepares the review, routes exceptions to the right person and moves approved work forward. Your team handles judgment. Flowlexi handles the workflow.

01 / Process types

Three review processes we automate.

Teams that review cases against documents, policy and rules. The same engine prepares the review, cites the evidence and asks the right person about exceptions. Sectors are examples; the process is the product.

02 / In use

A real application. Available to use today.

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

How we deliver it.

06 / Managed operation

Flowlexi Cloud

Your review workflow runs on Flowlexi Cloud: managed PaveDB for the evidence, managed Flymmatik for the workflow. Your team builds or we implement; 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.