Capability 01
Applied AI
Use AI where it removes real work or improves a decision, with the sources, limits, and failure path understood before it goes live.
AI earns its place when it changes the economics of a task without making the result harder to trust. We start with the workflow, the decision it supports, and the cost of being wrong. Then we choose the smallest useful role for the model: extracting, drafting, classifying, answering from known material, or completing a bounded step. Review and fallback are designed around the risk of that specific use case.
What it covers
- A defined workflow and a written account of where AI helps, where it does not, and how failure is handled
- Assistants and agents connected to the tools your team already uses
- Document intake, extraction, routing, drafting, and reporting
- Internal answers grounded in approved company material
- Measurement around quality, exceptions, and the time the system gives back
- Human review where the risk of a wrong action requires it