AI agents and workflow automation
Agents that do bounded work, not autonomy theatre.
We build AI agents with a defined job, restricted access, clear inputs, review points and an audit history. They are for teams with repetitive research, triage, drafting or follow-up work that needs to be faster without losing control.
Discuss a workflowThe problem
Work that never stops arriving
Inboxes, calls and requests need reading, routing and prioritising before anyone can act.
Missed follow-ups
Deadlines, exceptions and next steps slip because nobody is watching every thread.
Risky automation
Generic AI tools act without limits, approvals or a record of what they did.
What we build
The agent can act automatically where the risk is low and the rule is clear. Where the consequence matters, it prepares the action and asks a person to approve it.
- Research and prepare evidence for a human decision
- Read an inbox and route or prioritise work
- Draft communications from approved records and templates
- Create tasks, update records and trigger follow-up actions
- Monitor for changes, exceptions or missed deadlines
- Coordinate multi-step workflows across existing systems
How it connects to compliance
Every action an agent takes is recorded, and consequential actions require approval. That audit history means the work an agent does can also serve as evidence — the same principle behind our compliance and evidence systems.
Explore compliance systems →Applied proof
AI-assisted tenant repairs agent
An AI phone agent takes the repair call and logs the job. A staff dashboard reviews every safety flag and repeat fault before a contractor sees it.
See how it works →AI-assisted sales agent
Identifies prospects, prepares evidence-based drafts and tracks responses. Every message is reviewed and sending volume is deliberately constrained.
Frequently asked questions
Will the agent act without our approval?
Only where the risk is low and the rule is clear. Consequential actions are prepared and held for a person to approve.
What systems can an agent access?
Only those it needs for its defined job, with restricted permissions agreed during design.
Can we see what the agent has done?
Yes. Inputs, decisions, actions and approvals are recorded in an audit history.
Does this replace our staff?
No. Agents take on bounded, repetitive work so people can focus on the decisions that need them.
Bring us one repetitive workflow.
We will tell you where AI is useful, what should remain rule-based and what a practical first build would look like.
No transformation programme required. Start with one process.