Use-case mapping
Workflows are broken into inputs, decisions, outputs, and risks so the first use case is grounded.
Enterprise AI Consulting
Start from concrete workflows, identify where AI can help, and build working prototypes that teams can evaluate and keep improving.
Best for
- Teams interested in AI but missing stable use cases
- Knowledge base, support, or internal workflow automation
- Small prototypes before larger investment
What ships
Working prototype
A demoable prototype uses existing systems or data instead of stopping at strategy slides.
Integration notes
Permissions, data boundaries, human review, and launch constraints are made explicit.
Evaluation metrics
Accuracy, time saved, response quality, and review effort are defined up front.
How we work
- 1
Interview workflows
Begin with real tasks and repeated decisions, not model buzzwords.
- 2
Prototype narrowly
Build a working version for one frequent use case to expose data and permission issues early.
- 3
Plan iteration
Use trial feedback to decide whether to productize, integrate, or pause.