Deploy agents onto real work, onboard them to how you operate, govern what they can touch, and measure what they return. One system for the whole agent lifecycle, wherever the work happens.
Put an agent on the repeatable work that fills your team's week, whatever the function: reviewing, sorting, researching, checking, reconciling, responding. Each starts narrow, earns its autonomy on real work, so your people focus on the work only they can do.
Aitonomy reads your systems, documents, and past decisions into a live picture of how your organisation runs: who owns what, how things connect, what "done" looks like. Every agent works from that shared context, and the longer it runs the more it is trusted to handle.
Set what each agent can touch and where it must stop for a human. Raise or lower any agent's autonomy at any time, with a full record of why. Every model call, tool call, and action is captured in a complete audit trail. EU-sovereign, AI-Act ready by construction.
Watch every agent live, and measure what they are really doing: how much they are used, their impact on throughput, and whether the spend is justified, broken down by team, process, and workflow. Numbers a CFO accepts, not tasks logged or seats sold.
Aitonomy is model-agnostic. Match every task to the right model for the job and the budget, instead of paying frontier prices for work a smaller model does just as well. Spend is attributed to a team, a workflow, and an agent, so you see exactly what it buys.
Aitonomy connects to the tools your organisation already uses: data, documents, records, communication. Those become the shared context your agents read from. We build on MCP and APIs to plug into whatever you have, and we expose our own MCP too, making that shared context available across your organisation.
Aitonomy is wired into how work actually gets done. Recurring patterns become skills. Corrections become rules. What one team learns, the next inherits. The longer it runs, the better it gets.
Generic agents look good in a demo and stall on your real work. Getting it working inside your systems, with your data, your edge cases, and the rules only your team knows, is the real job. We bring a delivery method proven with product teams: we onboard each agent to how you actually operate, then hand it over once it holds on its own.
Agents do the work, at the autonomy they have earned. You hold the gates and see the return in three numbers, whatever the work is.
Illustrative figures. This is the kind of metric your instance hands back from day one.
We connect to how you already work and scan where agents fit.
Fixed price, no decks. You leave knowing where they start and what needs to be in place first.