Govern your AI agents. And build them.
Our specialty: AI agent governance — testing, framing, proving. And when the agent doesn't exist yet, we build it — governed from design, evidence file included.
Agent governance.
Anyone can plug in an agent. The real challenge starts after: an agent that acts autonomously is a new kind of risk. It decides, it executes, it touches your data and your clients — and without oversight, no one can explain or defend what it did. That's what we govern.
We put in place the layers that make an agent controllable — built in from the design stage, never bolted on afterward. The result: an agent you can genuinely deploy, control and defend before your leadership, your auditors and your stakeholders.
Controls and guardrails
Clear limits on what the agent can do, and what it can't.
Security & agent risk
We identify and contain the risks specific to agent autonomy.
Human oversight
A human in the loop at decisive moments, with the right to review and to stop.
Reproducible proof
We stress-test the agent adversarially with an open harness (Apache-2.0): your auditor can re-run the exam without us.
Continuous monitoring
We track agent behavior in production to catch drift.
Auditable traceability
Every decision is logged and defensible, aligned with your sector's requirements.
Testing runs on the ProofAgent platform (ProofAI LLC), with which Aurelia Ops has a commercial relationship, and on its open-source harness (Apache-2.0). The method is written down and the exam can be re-run by your auditor — that is where independence lives, not in the status of the engine.
Beyond fixed rules
Some tasks can't be reduced to a set of rules: they require understanding a context, deciding and acting. That's where AI agents come in, able to reason and execute within your processes.
We design custom agents, anchored in your systems and your data. Where several agents collaborate, we orchestrate them — and we keep humans in control at the steps that matter.
- Custom agents. Designed for your use cases, not generic assistants.
- Multi-agent orchestration. Multiple agents coordinated for complex, end-to-end tasks.
- Integration with your systems. Your agents work with your existing data and tools.
- Human control at sensitive steps. On high-stakes decisions, a person signs off before the agent proceeds.
Build your agents — from development to deployment
Your teams lose valuable time to repetitive tasks, re-keying and back-and-forth between systems. We turn these manual processes into automated, reliable and documented workflows — so the work gets done without constant intervention.
We start from your reality, not a generic template: every automation is built around your tools, your business rules and your control points.
Every agent ships with its evidence file — included in the engagement, not an option.
- Process mapping. We target what truly benefits from automation.
- Workflows and integrations. Your systems connected, so information flows without re-keying.
- Rules and validations. Your business rules encoded directly into the workflow.
- Production deployment. Deployment in a real environment, with the monitoring needed.
To a governed agent in production.
Scoping
We pin down the agent, its risk scope and the applicable frameworks.
Testing
We test the agent adversarially — or build it on a real case if it doesn't exist yet.
File + keeping
We deliver the proof file and keep the evidence current at every material change.