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Solution · AI Operations

Build an AI Operations team without improvising halfway through

You've decided AI stops being a loose experiment and becomes a function. Now the hard part: which roles, in what order, who leads it, and how it's measured. That gets designed — not improvised one job req at a time.

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The problem

AI is no longer a loose pilot. But nobody knows what team it takes to run it.

  • You have scattered AI projects — one in marketing, one in support — but nobody runs them as a function with an owner.
  • Every team asks for "an AI person" without knowing whether they need a manager, an automation engineer, or an enablement lead.
  • You hire someone senior in AI and three months later it's unclear what they measure, who they report to, or what they decide.
  • The knowledge of how it all works lives in two people; if they leave, AI operations grind to a halt.

Cost of staying the same

An AI team built one loose hire at a time doesn't fail on day one: it fails when the pilot has to become daily operation and there's no structure to hold it up. You pay senior salaries with no clear mandate, duplicate roles that don't fit, and depend on two people who can walk. The bill shows up on no report; it shows up as an AI function that never quite gets off the ground.

The solution

We design the AI Operations team your operation actually needs — roles, order, and governance — and leave it running

  1. 1We start from your real operation: which processes you want AI to run, how mature you are today, and what decisions the team needs to make. The mandate comes from that, not from a template org chart.
  2. 2We define the roles that are genuinely needed and in what order — who leads, who automates, who trains the rest — with their real market salary bands, the same ones you see in the salary calculator.
  3. 3We set up governance: who the function reports to, what it measures, what it decides on its own, and what it escalates. Without an owner and metrics, an AI team is just a cost center with a new name.
  4. 4We start from what you already have: which internal people can grow into the role, what gets hired outside, and what we cover while the internal team matures.

What changes

What you stop losing

  • Scattered AI projects stop living in mid-air: they become a function with an owner, a mandate, and metrics — which is what turns them into daily operation instead of an eternal demo.

    Mechanism

  • Every hire has a reason: you hire the role that's missing in the order that fits, not a generic "AI person" nobody can measure three months later.

    Mechanism

  • What we measure: which processes AI runs with an assigned owner, coverage of the key roles against the target operation, and dependence on single points of failure.

    What we measure

Spec sheet

Work it removes
improvising the AI team one loose hire at a time
Typical setup
2–4 weeks for the design; operation in phases
Input
your current operation and the processes you want AI to run
Output
team design (roles + order + governance) and a hiring plan with real bands
Works with
Tu stack de IA actual
Can connect to
AI Operations salary calculatorImplementa role pages
What we measure
processes run by AI with an ownercoverage of key rolessingle points of failuretime from pilot to operation
Good fit for
companies with AI already in motion that want to move from scattered pilots to a run function
Not a fit for
anyone with no AI case in production yet, looking for a first proof of concept

Frequently asked questions

You can draw boxes, sure. The hard part isn't the drawing: it's knowing which role is needed before which for your specific operation, what salary band is real in your market, and how to govern it so AI doesn't end up a cost center. That comes from having built AI Operations teams, not from a template.

No, and doing so would be a mistake. We define the order: which role clears today's bottleneck and which can wait. Many teams start with one person who leads and automates, and grow from there when the data calls for it.

Even better. We start from what's there: which internal people can grow into the missing role, what real gap is left, and what gets covered outside. The design adapts to your team, not your team to the design.

Want it running in your business?

You’ve pinned the problem. We ship the fix and leave it measured.

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Build an AI Operations team without improvising halfway through · Implementa