Understand incoming work
Classify messages, forms or documents and capture the details the next step actually needs.
Select workflows · connect systems
AI automation for operational SME workflows.
Move repeatable knowledge work through a controlled sequence of understanding, decision support and action—without hiding exceptions or accountability.
Combine rules and context
Use approved knowledge alongside deterministic business rules and explicit permission boundaries.
Complete a useful step
Prepare a case, update a system or hand the task to a person with the relevant context.
Strong candidates are frequent, stable and testable.
AI automation works best when a process has a recognisable starting point, recurring judgement and an outcome that can be checked. Rare, highly discretionary or poorly owned work usually needs process clarification before automation.
Automation does not require full autonomy.
We break the workflow into observable steps: interpret the input, retrieve context, apply rules, call a limited tool, and record the outcome. Sensitive or incomplete cases follow a deliberate human route.
A representative evaluation set makes progress visible.
Typical cases, edge cases and prohibited outcomes are tested before release. We assess result quality, source use, tool behaviour and escalation—not just whether the final wording sounds plausible.
A focused workflow audit creates a decision.
We capture volume, variation, systems, data access, current effort and failure consequences. The output is a prioritised scope and a clear recommendation to build, simplify first or keep the work manual.
Related content
See back-office automation for document-heavy work or custom AI agents for multi-step tasks with tool access.
30 minutes · concrete
Book a strategy callClarify the next sensible step.
We will examine one real workflow, its systems and its risks. You leave with a grounded view of what to do next.