Classification
Organize incoming text into agreed categories, with a fallback for ambiguous inputs.
{ Service / 03 }
Useful AI.
Inside a clear process.
Add classification, summarization, and drafting to repetitive work, with defined inputs, practical evaluation, and human review where decisions matter.
Discuss this workflow{ The starting point }
AI becomes useful when its output has a place to go.
A standalone prompt can help with a task. An operational workflow also needs reliable inputs, an agreed output format, review boundaries, and a safe path when the answer is incomplete.
{ Illustrative workflow / 03 }
- 01Receive
- 02Assist
- 03Review
- 04Record
Rules, review points, and exception paths are defined around your process.
{ What we can build }
The connections that make it work.
Summaries
Turn lengthy records or conversations into structured context for the next person.
Drafting assistance
Prepare responses or internal documents for review within the existing workflow.
Review boundaries
Define which outputs need approval and how rejected or uncertain results are handled.
{ Delivery & checks }
Built to use. Clear to hand over.
A practical handover.
A use-case map, input and output definitions, prompts or model instructions, a representative evaluation set, review steps, and operating notes.
Check the paths that matter.
Evaluate representative examples, ambiguous inputs, unsupported answers, and provider failures. Define acceptance criteria before relying on the output in everyday work.
Scope, timing, tool selection, and pricing follow a review of your current setup and dependencies.
{ Before we start }
A few useful details.
Which tasks are a good starting point?
Repeated text tasks with clear inputs, reviewable outputs, and an owner are useful candidates. Discovery establishes whether AI is appropriate.
Can AI make the final decision?
Decision boundaries are defined during scoping. Sensitive or consequential decisions need an explicit review policy and accountable human ownership.
{ Related services }