Practical AI
Find the narrow tasks where AI saves time, such as locating the right clause in your own procedures, and keep people making the decisions.
Choosing the first use case
We look for repeated information work where someone already knows what a good result looks like: finding the relevant guidance, preparing a first draft or sorting a set of records.
We check each use case for the quality of its sources, how sensitive the information is, what an error would cost and which decision stays with a person.
- 01 Use-case and risk assessment
- 02 Preparing the source documents
- 03 Building and testing a prototype assistant
- 04 Review and escalation steps
What we hand over with it
We write down what the assistant can and cannot do, which sources it may use, how results are checked and where decisions are recorded. Training covers asking better questions, spotting weak output, protecting sensitive information and knowing when to stop using the tool.
What you receive
Prioritised use case
Which task is worth automating, and which is not ready yet.
Tested prototype
Tested against your own documents and awkward edge cases.
Review and escalation
Where a person checks the output before anyone acts on it.
Operating guidance
What the assistant may and may not do, in plain terms.
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Test a first AI use case
Tell us which information task takes the most time. We'll test whether AI can help with it, and say so if it can't.