AI automation agency · UK
AI Automation With Control
Governed AI systems for documents, classification, drafting and repetitive decisions with clear approval boundaries.
Example measurement plan · not client results
- Sessions
- 2,480
- Visits to the website
- Users
- 1,920
- People reaching the site
- Conversions
- 64
- Completed key actions
Choose a bounded job
The system receives a clear input, has an allowed action and produces an output somebody can verify.
Keep evidence attached
Retrieval, source records and decision logs make important outputs inspectable instead of mysterious.
Design the refusal path
Low confidence, missing data and sensitive actions route to a person rather than being guessed through.
What delivery includes
Built around the outcome
Every workstream has a clear purpose, owner and acceptance point.
AI workflow design
Define What AI Can Decide
We define the task, approved evidence, validation, human review and conditions that stop the workflow.
- Document extraction and classification
- Knowledge retrieval with source references
- Controlled drafting and summarisation
- Human approval for material actions
AI systems integration
Connect AI to Existing Work
We connect the AI step to the CRM, document store, support queue or application that owns the work.
- CRM and support workflows
- Private knowledge assistants
- API and webhook orchestration
- Usage, error and decision monitoring
Operational controls
Keep Automation Accountable
Versioning, evaluation examples and recovery controls make production behaviour visible and correctable.
- Role-based access
- Evaluation and release checks
- Cost and usage visibility
- Fallback and manual recovery
Questions before you enquire
Answers before you enquire
What Can AI Automation Handle?
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.
Will AI replace our staff?
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.
Can AI Connect to Our CRM?
Yes, where the CRM API and permission model allow it. We define which records may be read or changed and log every material action.
How do you reduce AI mistakes?
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
Scope One AI Workflow
Share one repetitive decision. We will map the inputs, risks and approval point.