From conversation
to process diagram

Understand how a process works before you modernize it. interviews the people doing the work and turns it into a BPMN diagram.

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How it works

Interview, synthesize,
then visualize

01

Interview the team

Capture how people actually do the work, one interview at a time.

02

Synthesize the accounts

Combine the accounts into one workflow while preserving key differences.

03

Visualize workable artifacts

Turn the workflow into BPMN and other usable outputs.

Employee 1
Visa Adjudication Officer

Applications come in through the portal each morning. I check the passport against the file, then collect the fee, and stamp and close the case.

Employee 2
Senior Adjudication Officer

Cases come in from the European queue. I verify identity documents, then route to the fraud unit first - that's a step the others don't have. Then collect the fee and approve.

Employee 3
Adjudication Officer

Renewals arrive in my queue. I confirm the documents, collect payment, and pass it along - I don't do the final approval, that goes to a supervisor.

Receive application Verify identity Collect fee Approve case Close File Route to fraud unit Fraud check Supervisor Review Escalation by role

Market landscape

What the industry
currently offers

Existing tools cover pieces of the problem. AI interview platforms capture conversations. Process mining tools map system logs. Requirements tools structure outputs. None of them connect all three - and none synthesize across multiple people.

AI Interview
Platforms1 		Process Mining
Tools2 		Requirements
Tools3
Guided conversational process capture ✓ ❌ ❌ ✓
Voice-based input (speech → structured data) ✓ ❌ ❌ ✓
Cross-stakeholder synthesis ❌ ❌ ❌ ✓
Auto-generated workflow diagrams (BPMN) ❌ ✓ ❌ ✓
Direct path to software requirements ❌ ❌ ✓ ✓

1. Otter.ai, Grain, Fireflies   2. Celonis, KYP.ai, Nintex   3. Jama, Azure DevOps, Jira

The first step in
every modernization project

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