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Solution · AI Operations

Build AI Operations in-house, or have us run it?

The question isn't "AI or not." It's who runs the function: you hire and train an internal team, you outsource it entirely, or you go hybrid. Each option has a real cost and a point of no return. We help you decide with numbers, not faith.

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The problem

Everyone tells you you need AI. Nobody tells you whether to build it or buy it.

  • Building an internal team takes months to hire and longer still to perform — and meanwhile, the operation doesn't move.
  • Outsourcing without criteria ties you to a vendor who doesn't know your operation and who you then can't figure out how to leave.
  • The real cost of an internal team isn't the salary: it's hiring, training, retention, and the time until it produces.
  • Nobody in the company has built an AI Operations function before, so the decision ends up made by gut.

Cost of staying the same

Deciding build-vs-buy by gut gets paid two ways. Build internal before you're ready and you burn months and senior salaries on a team that's slow to perform. Outsource without criteria and you're tied to someone running a black box you can't break away from. Both come out expensive; the difference is the cost doesn't show up until you've already chosen, and by then changing course costs again.

The solution

We give you the build-vs-buy call with your numbers, and run the function while your internal team matures — or steadily, if that's what fits

  1. 1We put numbers on all three options for your case: internal, outsourced, and hybrid — real cost, time to perform, and dependence risk. Not a catalog recommendation: the one that fits your operation.
  2. 2If the answer is internal, we help you build it and run the function while the team matures, so you don't lose the ramp-up months waiting for people to join and perform.
  3. 3If the answer is outsource, we run the AI Operations function on your stack — with your processes, your data, and full visibility — not a black box you can't leave.
  4. 4Either way we leave the door open: documentation, metrics, and a handover plan, so you can bring it in-house whenever you want without starting from zero.

What changes

What you stop losing

  • The build-vs-buy call stops being an act of faith: it comes from your numbers — real cost, time to perform, and dependence risk — for all three options on the table.

    Mechanism

  • You don't lose the ramp-up months: the function runs from day one while the internal team, if there is one, matures behind it.

    Mechanism

  • Outsourcing stops meaning black box: we run it on your stack with visibility and handover, so you can bring it in-house the day you choose.

    Mechanism

  • What we measure: total cost per option, time to a running operation, and degree of vendor dependence.

    What we measure

Spec sheet

Work it removes
deciding by gut whether to build the AI function in-house or outsource it
Typical setup
1–2 weeks for the analysis; operation from the decision
Input
your cost, operation, and current-maturity data
Output
a build-vs-buy analysis with numbers + the function run per the chosen option
Works with
Tu stack de IA actual
Can connect to
AI Operations salary calculator
What we measure
total cost per optiontime to a running operationvendor dependenceinternal vs. external coverage
Good fit for
companies facing the choice of building their own AI team or running it with a third party
Not a fit for
anyone who already has a mature AI Operations function and only wants a one-off service

Frequently asked questions

That would be easy, and it would be a lie. The analysis comes from your numbers: there are cases where building internal is right, we'll tell you so, and we'll even help you build it. What we sell is running the function well, not tying you to us.

No, and we put it in writing. We run it on your stack with your data, with visible documentation and metrics and a handover plan. You can bring it in-house whenever you want without starting from zero. A vendor you can't leave is exactly what to avoid.

We run the function while your internal team gets built and matures, and we hand over as it starts to perform. It's what keeps you from losing the ramp-up months without giving up on having your own team at the end.

Want it running in your business?

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

See the service
Build AI Operations in-house, or have us run it? · Implementa