Start with a useful job
Candidate workflows include document preparation, knowledge discovery, information extraction and guided planning. We assess data availability, review requirements and whether simpler automation would solve the problem.
Design the product around the AI
The model is one part of the system. Users also need clear inputs, saved work, relevant source context, review steps and an understandable next action.
Make the boundaries explicit
We define what the AI may suggest and what a person must approve. Permission boundaries, sensitive inputs, retention requirements and third-party services are addressed during scoping.
Test representative cases
The specification includes examples of useful outputs and failure cases. Evaluation should use realistic tasks, include human review and record limitations before broader rollout.
Measure the right outcome
Agree a baseline such as time to prepare a draft or complete a review. Assess usefulness, correction effort and adoption alongside usage costs, rather than counting AI features.
Questions about ai systems for business
Do we need a chatbot?
Only if conversation is the right interface. Many AI workflows work better as guided forms, review screens or structured workspaces.
Will AI make decisions automatically?
Only within explicitly agreed boundaries. Consequential actions should have appropriate review and a clear way to intervene.