AI workflows & automation
Give the routine to AI. Keep the decisions.
Sort enquiries, extract document data and prepare drafts, with approval rules for the decisions that need a person.
Discuss my projectThe bottleneck
Your team reads the same kinds of requests, copies fields and prepares the same summaries all day. We build AI workflows around those repeatable steps, with defined outputs and a route for exceptions.
What we can build
- One selected workflow with example inputs and success criteria
- Classification, extraction or draft generation connected to your tools
- Validation rules, human review and a fallback for uncertain results
- Pilot evaluation before expanding the workflow
A possible workflow
A new enquiry is classified, useful details are extracted and a draft CRM record is prepared. A person reviews the result before the next action. The website illustration shows this kind of flow, not a live client result.
What we agree first
We agree which data may be processed, which model or provider fits and which actions need approval. Accuracy, operating cost and failure cases are evaluated on representative examples; AI output is not assumed correct.
Before you commit
Can AI act without a person approving every step?
How much will my project cost?
How long does development take?
Do I need a finished specification?
Bring us the part that gets in the way.
Show us where the work gets stuck. We’ll discuss what can be fixed, what needs building and where to start.
Discuss my project