Back-office processes scoped, automated with AI agents, and measured before and after — one process at a time, with guardrails you can inspect.
The failure mode is not that the agent cannot do the work. It is that nobody defined the work precisely enough, so the agent is judged against an expectation that was never written down.
We start from one process you can name: intake, triage, reconciliation, reporting. We document how it runs today, build the agent with its context and guardrails, and measure the difference.
The current process documented as it actually runs, with the decision points and exceptions that matter.
The agent built with the context, tools and instructions it needs, versioned and reviewable.
Boundaries on what the agent may do, with logging that makes its decisions auditable.
Before and after figures on time and volume, then handover to your team with documentation.
A 30-minute call to settle which single piece of work goes first: something that recurs and follows rules that can be stated plainly.
We learn the job from the people doing it rather than from the description of it, then construct an agent that mirrors it — including the points where it must defer instead of deciding.
Figures from either side of the change, so the improvement is demonstrable rather than asserted. Ownership then passes across, along with everything required to keep it running.
Your internal systems connected to AI tooling through servers we build and you own.
A written policy your staff can follow, with monitoring and enforcement that matches it.
Business applications, e-commerce and marketing sites, delivered with modern DevOps practice.
Bring the situation, not a specification. You leave with a written view of what we would do and in what order.
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