
Production agents don’t manage themselves
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.
Why This Matters
Launching agents is easy.
Keeping them compliant isn’t.
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 — and it's what turns a pilot into a program your board can defend four quarters from now.


76% of All Things
Median time to detect model drift on Fortellar-managed agents
76% of All Things
Agent-related audit findings across managed clients in last cycle
76% of All Things
Hours of internal SOC/engineering time returned per quarter
Agents are live. No one owns keeping them safe.
Who This Is For
Situation 1
First agent is live, team can't sustain the watch
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.
Situation 2
Agents from multiple vendors, no unified view
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.
Situation 3
Agents from multiple vendors, no unified view
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.
Best Outcome
A managed service watching your agent with SLAs you can put in front of a regulator.
Best Outcome
Policy enforcement running at the orchestration layer, with a log you can hand to an auditor.
Best Outcome
One operations plane across agents — behavior, cost, and control state in one place.
You get a running operations discipline, not a dashboard with a login.
Each item below is an active service, with named engineers and measurable commitments behind it.
What's Included
After this engagement, you will have
24/7 Agent Monitoring and Observability
Every agent action captured, correlated, and alerted on — prompt, response, tool call, external egress, and cost, across vendors.


After this engagement, you will have
Runtime policy enforcement and guardrails
Your acceptable-use policy enforced at every agent action — not in a document. Violations blocked, logged, and reported.
After this engagement, you will have
A human-in-the-loop review queue
A staffed queue for actions your policy requires humans to approve — with SLAs, escalations, and a decision log.






After this engagement, you will have
Drift detection and scheduled retraining
Continuous evaluation against your baseline — so drift is caught before it shows up in an incident or an audit.


After this engagement, you will have
An audit-ready
evidence base
Every decision, approval, and policy action retained and queryable — the package an auditor asks for, pre-built.


After this engagement, you will have
Quarterly program reporting for your board
Risk posture, cost, outcomes, and near-misses — a quarterly narrative you can hand up without assembling it yourself.
Three phases to bring agents onto the managed service.
How It Works
Phase 1
Onboard
We inventory every agent in scope, map its controls and data boundaries, and wire it into our observability and policy-enforcement plane.
Phase 2
Operate
Named engineers run the service — monitoring, responding to alerts, staffing the HITL queue, and managing drift and retraining on a published cadence.
Phase 3
Report & improve
Quarterly reviews against your risk posture and roadmap — with recommendations, retirements, and expansion decisions signed off with your team.
You Walk Away With
Agent-by-agent onboarding doc
Telemetry flowing into ops plane
Policy enforcement active
Best Outcome
Named service team
Published SLAs
Live incident + decision log
Best Outcome
Quarterly board report
Control posture trendline
Next-quarter roadmap signed
Differentiator: Operator, Not Advisor
We operate in regulated environments, not just advise on them
Most consulting firms leave at the end of a project. We stay. Our managed security practice runs 24/7 in regulated environments today — and AgentOps extends that same operating discipline to the AI layer. The same engineers, the same SLAs, the same evidence standard.
Operating Posture
76%
Engineer-led coverage
76%
Engineer-led coverage
76%
Engineer-led coverage
76%
Engineer-led coverage
Expertise This Work Draws On
The Capabilities Behind A Running Managed Agent Service


Technology & Security Operations
SIEM & Observability
Agent telemetry flows into the same detection-and-response plane that watches the rest of your estate. One plane, one evidence base.


Cybersecurity & Compliance
Incident Response Planning
An agent misfire is an incident. We bring IR playbooks purpose-built for AI failure modes — data leakage, prompt injection, runaway cost.


Cybersecurity & Compliance
Compliance Framework Alignment
AI controls mapped into your existing framework (NIST, HIPAA, HITRUST, SOC 2) so AI evidence rolls into the audits you already run.


Technology & Security Operations
Logging & Audit Trail
Retention, integrity, and queryability engineered to the standard your regulator expects — not a best-effort log file.


Secure AI
Activation
Need the inventory and governance baseline first? Start here before handing agents to a managed service.
How this fits the rest of your program
AI Agent
Build
Need agents built before they can be managed? We design and build them to the same ops discipline that will run them.
Security Operations & Monitoring
Your SOC already covers the estate. Managed Agent Services extends that into the AI layer without a parallel team.




Where To Next
Your agent was safe the day it shipped. Can you prove it's still safe today?
Thirty 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.


