An embedded AI operator for organizations too small to hire a Chief AI Officer.
IBM’s 2026 survey of 2,000 CEOs found three quarters of large companies are hiring a Chief AI Officer this year. For a 50-person organization that math is nonsense. But the underlying problem is real, and it’s actually worse at your scale: most of your team could probably use AI productively, but nobody is connecting them to the workflows that need it. AI Operator-in-Residence is a monthly add-on on top of your maintenance retainer. Recurring presence, monitoring of running automations, a working session with your team on a defined cadence, and new automations shipped on a defined cadence. The job of a CAIO, sized for an organization your shape.
Six things, every month.
Health checks on every production automation in your stack. Failed-run alerts, cost tracking, drift detection. Light remediation is included; major rebuilds are quoted separately. The automation we shipped six months ago doesn’t quietly stop working without anyone noticing.
A live session with your designated AI champion and relevant team leads. We review what’s running, surface new workflow candidates from what came up that month, and prioritize the next build. On the calendar. Not a slack ping that gets ignored.
You name one internal champion at onboarding. They’re the institutional memory; we’re the operator. Both of us show up to every working session. After 12 months, your champion has watched a year of decisions and can carry more of the load. We get smaller as your team gets stronger.
Every session surfaces new candidates. We keep a running backlog ranked by hours saved per month and implementation complexity, so you can always see what’s next and why. The roadmap is alive, not a slide deck from last quarter.
Every three months, a written roadmap update: automations shipped, time saved, what’s next, what to deprecate. Designed to forward to anyone asking what’s happening with AI at your organization.
A Slack or Teams channel where your champion can ping with quick questions during business hours. Not a help desk. A working channel for the things that don’t need a meeting.
Honest about the edges.
The included hours each month cover monitoring, the working session, triage, and the roadmap. They do not cover net-new automation builds at the Standard tier, and they cover one moderate-complexity build per quarter at the Plus tier. Larger builds are quoted as project work the same way they always have been.
The written quarterly roadmap is part of the deliverable. Custom executive presentations, board decks tailored to your board, or RFP responses are real work and are quoted separately when they come up.
This add-on is only sold to clients already on a maintenance retainer. The reason is structural: the operator role is incoherent without ongoing access to the systems we’re operating. Sell the maintenance plan first; layer this on top once we’re already running your stack.
Three tiers. Pick by team shape, not company size.
For organizations with one or two production automations running, a single team in scope, and an exploratory posture on AI. You get monitoring, the monthly working session, and the quarterly roadmap. New automation builds at this tier are quoted as project work. Best for teams that want a steady presence before committing to a build cadence.
For organizations with three to five production automations, two or more teams in scope, and an active AI roadmap. Includes everything in Standard plus a biweekly cadence and a build credit toward one new moderate-complexity automation each quarter, applied against your included hours when scope fits. If the priority candidate is small, it ships from your included hours. If it’s larger, we quote the overage as project work on top. The quarterly roadmap conversation makes that call honestly. The typical landing tier for clients who’ve already validated automation with us on project work and want a recurring relationship.
For organizations with five or more production workflows, multiple stakeholders, or regulated-industry overhead (NDAs, data-handling protocols, vendor security review). Weekly working sessions, dedicated operator capacity, custom monitoring and reporting. Quoted per scope after a discovery call.
Shipped code, not slide decks. A working session, not a quarterly check-in.
Most “fractional CAIO” offers in the market are advisory. Slide decks, frameworks, quarterly check-ins. That doesn’t close the gap IBM measured. The 61 points between “could use AI” and “does use AI” only closes when someone is in your building, on your stack, shipping the thing.
I’ve been doing this for clients for the last two years, project by project. AI Operator-in-Residence is the recurring-revenue version of the work, named and priced openly. The leverage that makes the math work at this price point is not magic. It’s ten years of design discipline plus a Claude-orchestrated operations layer running underneath every client engagement. Same leverage that runs the website you’re reading.
If you’ve hired a consultant who delivered a deck and left, you know what this is not. If you’ve had an internal AI champion get pulled back into their day job two months in, you know why an outside operator with recurring time is different.
The operator pattern is already running. The SKU is new.
The operator role isn’t a theory. The clearest current proof point is the inbound-feedback pipeline running for Mountain Mike’s Pizza: 330 active stores, thousands of customer emails a month, automated classification by category and severity, human in the loop, all on n8n and Claude. The pattern of “name the workflow, build the thing, monitor it, iterate” is what AI Operator-in-Residence productizes. The SKU itself is in beta and the first paid engagement is in flight. See the MMP case study for the broader engagement context.
Aaron has provided super fast response time, quality work and an amazing rate. We are beyond pleased with Aaron’s impeccable service. He is extremely knowledgeable and helpful in assisting us in managing our website internally.Carol DeNembo / CMO / Mountain Mike’s Pizza
Schedule a call. We’ll walk your stack and pick a tier in fifteen minutes.
Bring a rough sense of where AI shows up in your work today and the workflows you wish ran themselves. I’ll suggest the right tier on the call, or tell you honestly if your organization isn’t the right shape for this yet.
Schedule a call