AI automation agency · UK
Governed AI systems for documents, classification, drafting and repetitive decisions with clear approval boundaries.
Illustrative interface · not client data
The system receives a clear input, has an allowed action and produces an output somebody can verify.
Retrieval, source records and decision logs make important outputs inspectable instead of mysterious.
Low confidence, missing data and sensitive actions route to a person rather than being guessed through.
What delivery includes
Every workstream has a clear purpose, owner and acceptance point.
We define the task, approved evidence, validation, human review and conditions that stop the workflow.
We connect the AI step to the CRM, document store, support queue or application that owns the work.
Versioning, evaluation examples and recovery controls make production behaviour visible and correctable.
Work you can inspect
Read what was built, how it works and what the evidence supports.
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Read the case studyQuestions before you enquire
Common projects include document classification, structured data extraction, internal knowledge search, response drafting and routing work between systems. The right candidate has repeatable inputs and an output a person can verify.
The practical goal is usually to remove repetitive handling and give staff better context. Material decisions remain with the responsible person unless a safe deterministic rule is agreed.
Yes, where the CRM API and permission model allow it. We define which records may be read or changed and log every material action.
We narrow the task, control the sources, validate structured outputs, test known examples and escalate uncertain cases. No model is treated as infallible.
Start with the result
Share one repetitive decision. We will map the inputs, risks and approval point.