We run your AI agents as a managed service: 24/7 monitoring, policy enforcement, drift detection, and the audit trail your regulators will ask for. DevOps for agents, done by engineers who've operated in regulated environments.
Models drift. Policies change. Vendors deprecate endpoints. Your own workflows evolve. An agent that was safe in March is a finding in November if no one's measuring it against your current controls. Most teams don't have the bench to watch that drift in real time and when the auditor asks for a year of agent behavior, nobody can produce it.
That's the gap we close. AgentOps is a discipline: monitoring, policy enforcement, human-in-the-loop review, retraining, and auditability. It's what turns a pilot into a program your board can defend four quarters from now.
Behavior that was safe in March becomes a finding in November unmeasured.
Your controls move. Agents built against the old ones don't follow.
Endpoints and model versions retire on the vendor's schedule, not yours.
A year of agent behavior nobody captured is a year you can't evidence.
Your internal team shipped something impressive. Now they have a day job, and nobody has 24/7 coverage for the agent they built. You need continuity without hiring an agent-ops team.
You wrote the AI policy. You wrote the acceptable-use doc. There's no mechanism enforcing it on every prompt, response, and tool call. You need the runtime, not another PDF.
Security uses one agent, ops uses another, compliance deployed a third. No one has a single pane of glass on behavior, cost, or risk across them.
Each item below is an active service, with named engineers and measurable commitments behind it.
Every agent action captured, correlated, and alerted on, prompt, response, tool call, external egress, and cost, across vendors.
Your acceptable-use policy enforced at every agent action, not in a document. Violations blocked, logged, and reported.
A staffed queue for actions your policy requires humans to approve, with SLAs, escalations, and a decision log.
Continuous evaluation against your baseline, so drift is caught before it shows up in an incident or an audit.
Every decision, approval, and policy action retained and queryable, the package an auditor asks for, pre-built.
Risk posture, cost, outcomes, and near-misses, a quarterly narrative you can hand up without assembling it yourself.
We inventory every agent in scope, map its controls and data boundaries, and wire it into our observability and policy-enforcement plane.
Named engineers run the service, monitoring, responding to alerts, staffing the HITL queue, and managing drift and retraining on a published cadence.
Quarterly reviews against your risk posture and roadmap, with recommendations, retirements, and expansion decisions signed off with your team.
Agent telemetry flows into the same detection-and-response plane that watches the rest of your estate. One plane, one evidence base.
See expertiseAn agent misfire is an incident. We bring IR playbooks purpose-built for AI failure modes, data leakage, prompt injection, runaway cost.
See expertiseAI controls mapped into your existing framework (NIST, HIPAA, HITRUST, SOC 2) so AI evidence rolls into the audits you already run.
See expertiseRetention, integrity, and queryability engineered to the standard your regulator expects, not a best-effort log file.
See expertiseThirty minutes with a senior partner. Bring the agents you have; we'll map what it takes to run them without drift, surprise, or audit finding.