Managed AI Operations
AI models change. Software updates break connections. Your business changes. We keep your agents, connections and workflows working, so you never have to maintain them yourself.
Not a status meeting. Not a recap deck. The paths that are in production, watched and kept current.
Successful runs, failures, latency, escalations. We care whether the estimate agent drafted and whether a connector 401’d at 2am, not whether a vanity dashboard is green.
Vendors ship API changes. ServiceTitan, Tekmetric, Google Ads, QuickBooks. A Friday update should not silently kill Monday’s follow-up.
Pin, evaluate, and route. A prompt that worked in March drifts. We treat that as ours to catch, not yours to QA.
Does the draft still sound like the company. Did it invent a promise. Did it skip a file it should have flagged. Drift shows up here before a customer does.
Diagnose, restore, tighten the path. An error is a design problem: add a check, shrink the permission, or take that action back to a human.
New membership product, second location, a reporting hole the owner just found. Scoped to what is running, not a forty-agent roadmap on retainer.
Watch the runs. Keep the connectors. Evaluate the output. Fix incidents. Add the next job when the last one is trusted.
Finished jobs, failures, slowdowns, handoffs. We care whether the estimate agent drafted, whether it handed off, and whether a connection broke at 2am, not whether a status page is green.
Vendors ship API changes. ServiceTitan, Tekmetric, Google Ads, QuickBooks, all of them. Managed operations makes sure a Friday vendor update does not quietly break Monday’s follow-up.
Does the draft still sound like your company? Did it invent a promise? Did it skip a file it should have flagged? Regular checks catch problems before a customer does.
Find it, fix it, tighten it. An error is a design problem: add a check, narrow the permission, or hand that action back to a person. We do not “restart the bot” and call it done.
New membership plan, second location, a reporting gap the owner just found. Improvements are scoped to what is running. You do not pay for a giant roadmap.
Most service businesses need the care. They do not need a department of AI engineers babysitting a follow-up agent.
Your team keeps the decisions that require judgment. We keep the system current. This is extra capacity, not an outsourced general manager.
They need it built and kept running. Hiring two engineers to babysit a follow-up agent and a morning report is how you burn money. We do that part.
Managed operations starts after a live deployment. Scope is the agents and workflows that are actually running, not a retainer for work we might someday do.
Managed operations
APIs change. Models drift. We watch the runs, repair connectors, and expand only what is earning its keep.
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without cortex · someone still has to remember to look
with cortex · the layer watches, drafts, and waits for you
Connectors break. Models drift. The company grows. These are examples of what we look after once the build is live, not a promise that nothing will ever fail.
Example incident
Example improvement · Detail Driven
Example model change
Monitoring, connector upkeep, evaluations, incident response, small improvements, and the next scoped path when you ask for it. Starts after a live deployment. Priced to what is actually in production.
We are not your general manager, your CSR team, or your ads agency. We do not book jobs, discount work, or own the angry-customer call. Your people keep the operation. We keep the system.
No. It is closer to running infrastructure: monitoring, connector upkeep, evaluations, incident response, and small improvements. We are not booking your jobs or managing your ads account.
You can. Most operators do not want to. If you have the people, we will say what they would have to own. If you do not, managed operations is the honest alternative to hoping nothing breaks.
After a live deployment. There is nothing to manage until an agent is live.
Start with a free 30-minute audit. You don't need to understand AI. We'll show you what's worth building into the software you already run, and what isn't.