AgentOps &
Governance
Getting AI agents to work is just the first step. Keeping them running safely, affordably, and within the rules is the harder part.
Most companies focus on building AI agents and skip the part that actually keeps them running in production. Who is watching what the agent does? How do you know it is not burning through your API budget? What happens when it makes a bad call at 2 AM? We help you answer those questions before they become expensive problems. In two weeks, we assess your current setup and give you a practical plan for monitoring, cost controls, compliance, and human oversight.
Companies we've worked with
Every decision your agent makes should be logged and traceable. When something goes sideways, you need to see exactly what happened, not guess. We show you how to set that up.
You would not run a web app without monitoring. AI agents deserve the same treatment. We help you define the metrics that matter and set up alerts so your team catches problems early.
API calls and compute costs can spiral fast when nobody is tracking them. We help you build visibility into what each agent costs to run so there are no budget surprises at the end of the month.
You Would Not Deploy Software Without Monitoring. Why Deploy AI Without It?
Most companies treat AI agents like magic boxes. They work until they do not, and when they fail, nobody knows why. There is no dashboard showing what the agent decided. No log explaining why it picked one option over another. No alert when costs doubled overnight. You find out something went wrong when a customer complains or when the invoice comes in.
AgentOps is the same idea as DevOps, but for AI agents. It means having real observability using tools like LangSmith, LangFuse, or Datadog so you can see what your agents are doing in production. It means tracking costs by agent and by workflow so you know where your budget is going. And it means building in the kind of reliability engineering, like retry logic, fallback paths, and performance baselines, that keeps things running when the unexpected happens.
Governance is the other half. If your agents make decisions in areas that touch SOC 2, HIPAA, GDPR, or the EU AI Act, you need audit trails and compliance documentation that actually hold up. You also need clear rules about what an agent can decide on its own and when it needs to escalate to a person. We help you figure out where those lines should be for your specific business.
Blind Spots
Your agents are making decisions and you have no way to see what they chose or why. Problems show up when a customer reaches out or when someone notices bad data downstream. By then, the damage is already done.
Cost Overruns
Nobody is tracking how many API calls your agents make or what models they are using. You budgeted for a few hundred dollars a month and the bill came back at ten times that. Without per-agent cost tracking, you cannot fix it.
Compliance Risk
Your agents handle customer data or make decisions in regulated areas, but there is no audit trail. If an auditor asks how a specific decision was made, you do not have an answer. That is a real liability.
No Improvement Loop
Your agents never get better because nobody is measuring how they perform. You cannot see which ones fail the most, which edge cases trip them up, or whether a prompt change actually helped. Without data, you are guessing.
How It Works
Three steps over two weeks. You get a prioritized roadmap with real numbers attached to every opportunity we find.
Week 1
Discovery and Process Analysis
Discovery Interviews
We interview your leadership team and the people on the ground to find the gap between how the business is supposed to run and how it actually runs. That gap is where the money is. We are not asking about goals or visions. We are looking for broken processes, friction, and inefficiencies.
Map the Process and Find Opportunities
We map your entire operation across Acquisition, Delivery, and Support on a single canvas. Then we score every opportunity we found against effort and impact. Quick Wins go to the top. Before we finalize anything, we validate the plan with you so you have ownership of the priorities.
Value Stream Map
Full process map
Value vs. Effort Matrix
Effort vs. impact scoring
Validation
Co-created with you
Week 2
Presentation and Next Steps
The ROI Summary
Every recommendation comes with the math to back it up. The ROI Summary shows the savings per process, the estimated implementation cost, and the projected Year 1 ROI. We include a revenue uplift section showing what happens when you redirect freed-up employee hours to higher-value work. The presentation ends with clear next steps.
The AgentOps and Governance Assessment
At the end of two weeks, you receive a single report that covers the current state of your AI agent operations and governance. No filler, no generic recommendations. Just a clear-eyed look at what is working, what is missing, and what it would take to close the gaps.
Observability Gap Analysis
We map out what you are currently logging and monitoring across your agents and compare it to what you actually need. If you are using tools like LangSmith, Datadog, or Prometheus, we assess how well they are configured. If you are not using anything, we tell you where to start.
Governance and Compliance Review
We look at where your agents make decisions that could create compliance exposure, whether that is SOC 2, HIPAA, GDPR, or something industry-specific. You get a clear list of the gaps and what it would take to close them.
Cost Breakdown by Agent and Workflow
We dig into your current AI spending and break it down by agent, model, and workflow so you can see exactly where the money goes. We include specific recommendations for reducing costs without hurting performance.
Human Oversight Map
A practical breakdown of which agent decisions should be fully autonomous, which need a human in the loop, and where you need hard stops. Based on your actual risk tolerance and the stakes involved, not a generic framework.
Incident and Escalation Plan
When an agent fails or behaves unexpectedly, your team needs to know what to do. We draft a straightforward playbook covering detection, triage, and escalation so problems get handled quickly instead of ignored.
Implementation Roadmap
A prioritized list of what to build or fix first, with rough cost and effort estimates. We tell you which changes will have the biggest impact and what you can realistically tackle in the next 30, 60, and 90 days.
23 Years. Real Clients. Real Stakes.
Not Sure If Your AI Agents Are Running Safely?
Book a discovery call and we will walk through your current setup together. We will give you an honest take on where the gaps are in your monitoring, governance, and cost controls, and what it would realistically take to fix them.
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