One specific workflow
For example support tickets, sales research, contract review, internal knowledge Q&A, finance reconciliation, or IT requests.
- Workflow goal
- Roles involved
- Current friction
Contact
Bring one real workflow and we will decide whether AI belongs in it.
The best first conversation is not a general model discussion. It is about one workflow: who does the work, where it stalls, which systems are involved, where the data lives, and what failure would cost.
First conversation
You do not need a complete requirements document, but bring context.
Current systems and data
Describe where information lives: systems, documents, spreadsheets, knowledge bases, or human expertise.
- Data sources
- Permission boundaries
- Update frequency
What you already tried
If there is a demo, prompt, RAG prototype, or SaaS trial, explain why it has not reached production.
- Failure reason
- Technical limitation
- Organizational blocker
How success should be judged
Turn 'useful' into reviewable quality, efficiency, cost, risk, or adoption metrics.
- Business metric
- Quality standard
- Launch constraint
Common entry points
Different project maturity calls for different starting points.
AI Opportunity Audit
Screen which workflows are suitable for AI and which should wait.
Prototype Sprint
Create a working workflow quickly and use samples plus evals to decide whether to continue.
Integration and governance
Add permissions, evals, tool use, approvals, logs, and monitoring to the production path.
AI FDE Academy
Train the internal team around a real project so capability remains inside the organization.
A short email is enough to start.
Include the company or team context, workflow to improve, current systems, data sources, whether an AI demo exists, and the desired launch window.