AI agents
Put AI agents to work,
with you in control.
Agents can triage requests, draft replies, update records and move work along. We design, deploy and monitor them with clear limits, approval steps and an audit trail.
A good fit when
Repetitive, rules-based work is slowing your team down and you want AI to take it on safely.
What we do
- Choose the tasks an agent should handle and define what it must never do.
- Connect it to the tools it needs with scoped access, human approval steps and full action logging.
- Test it against real scenarios, monitor it in use and tune it as your processes change.
How it works
How an engagement runs.
The steps
- Task selection. Choose the tasks an agent should handle, and the actions it must never take.
- Guardrails. Define access, approval points, limits and logging before the agent touches real systems.
- Build and test. Connect the agent to the tools it needs and test it against real scenarios, including edge cases.
- Supervised rollout. Start with human approval on actions, then relax approvals only where the evidence supports it.
- Monitor and tune. Review the logs, measure outcomes and adjust as your processes change.
Common situations
- Shared inboxes that need sorting, routing and first-draft replies
- Updating CRM or job records from emails and forms
- Preparing routine documents, summaries or follow-ups
- Moving work between systems at each step of a process
Not included
- Guarantees of accuracy or fully autonomous operation
- Ongoing model or API usage costs
- 24/7 monitoring, unless separately agreed
Common questions.
Will an agent act without anyone checking?
Only where you decide it should. Agents start with human approval on actions, and every action is logged so it can be reviewed.
What stops an agent from going wrong?
Scoped access, limits on what it can do, approval steps and monitoring. An agent only gets the permissions its task needs.
Which systems can agents work with?
Most tools with an API, email or web interface, including Microsoft 365, Google Workspace and common CRM and ticketing systems.
Illustrative example
What this could
look like.
An inbox agent sorts incoming requests, drafts replies and updates the CRM, while a team member approves anything before it is sent.
This is an example of the work we can scope, rather than a client case study or promised result.
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