Applied AI

AI pilot

We choose a use case with a clear gain, build a pilot with the organisation’s data and rules, and measure the result before deciding whether it is worth scaling.

One use case, one pilot and numbers before any decision to scale. AI comes in where it saves real work.

Goal

Test AI on a specific process, with real data and human review, and decide based on measured results.

Challenges

Unclear expectations, scattered or sensitive data and tools that don’t fit the organisation’s rules.

• Use case: Chosen process, expected gain and success criteria.
• Data and rules: What data the pilot uses, with what permissions and what limits.
• Result: Time saved, quality and cost compared with the current process.

Data and tools

The organisation’s data and documents, with language models and AI services suited to the case.

What you get

A working pilot, a results report and a recommendation to scale, adjust or stop.

Example

For example: classifying support requests by topic and urgency, with a person reviewing the suggestions before they are applied.

The decision to scale comes with numbers.