Solutions
Artificial Intelligence
An AI solution should have a clear task and a way to judge its output.
A workflow across the whole team
We discuss the available information, the decisions it supports and the human review needed, then define a focused evaluation before wider use.
Parts of the proposed journey
- AI opportunity assessment & roadmap
- Custom model design & fine-tuning
- Data pipeline & infrastructure setup
- Model evaluation, monitoring & governance
- Production deployment & scaling
In practice
Artificial Intelligence: a practical example
Choose a small task with an agreed source of information and a result someone can check. Compare the AI output with a known example, including an ambiguous case. Record the limitations and review responsibilities before considering a wider workflow or additional data access.
An illustrative scenario to discuss when planning your project.