An AI assistant inside a professional workflow
A category leader needed an AI proposition that could improve the daily work of its customers—not a demonstration detached from the product.
Choose the workflow where intelligence would carry weight.
The question was not whether to add AI. It was where assistance could produce a measurable customer outcome while remaining explainable, reviewable and commercially useful.
Product, evaluation and delivery moved together.
We defined the proposition, model behaviour and evidence needed for release, then worked alongside engineering and commercial teams through launch.
- Workflow and user decision mapping
- Assistant behaviour and guardrails
- Evaluation harness and release criteria
- Commercial proposition and adoption measures
A shipped assistant, not an AI strategy deck.
The company launched the first intelligence assistant in its sector and gained a repeatable way to evaluate subsequent AI capabilities.
A differentiated capability inside the core product
Evidence-led decisions across product and commercial teams
A governed path from model experiment to customer release
A live assistant embedded in the product
A reusable evaluation framework
A prioritised AI opportunity catalogue
Measures linking adoption, retention and recurring revenue
Begin with the decision, not the build.
Our engagements open with a short, independent assessment before significant budget is committed.