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Installed AI vs hiring an AI engineer

Hiring an AI engineer builds capability inside your team and gives you full ownership — but it takes months to recruit and ramp, costs a full-time salary, and concentrates the knowledge in one person. Installed AI is a different trade: Bardo Labs is a lab that designs, builds, installs, and operates production agents for you, typically in 4–8 weeks, with a team behind it instead of a single hire. Hire when AI is core to your product and you want it in-house; install when you want production outcomes fast without building an engineering function.

At a glance

Side by side

Installed AI (Bardo)Hiring an AI engineer
Time to production4–8 weeks3–6+ months to hire & ramp
What you're gettingA lab — built & run for youOne person's capacity
Cost structureScoped engagement, priced to outcomeFull-time salary + benefits + recruiting
Breadth of skillsA whole team's rangeBounded by one person's range
Management overheadNone — Bardo runs itYou recruit, manage, retain
Key-person riskNone — it's a teamHigh — knowledge leaves if they do
Ongoing improvementRetained lab keeps improving itOnly while they stay
Best forOutcomes without building a teamAI as a core in-house function
The differences that matter

Where they diverge

Speed to production

Hiring an AI engineer is a months-long process — sourcing, interviewing, an offer, then ramp-up before anything ships, typically 3–6+ months. A lab is already staffed: Bardo runs a week-one diagnosis and has agents in production in 4–8 weeks, because the design, build, and operations muscle already exists.

A team vs. a person

One engineer is bounded by their own range and availability, and if they leave, the knowledge leaves with them. Installed AI brings a lab — design, build, operations, and evaluation — with no key-person risk, so the system keeps improving regardless of any single individual.

Cost and commitment

A hire is a full-time salary plus benefits, recruiting cost, and ongoing management. Installed AI is a scoped engagement priced to the outcome rather than a headcount — and the free 30-minute audit gives you a concrete number for your case before you commit.

Who owns and runs it

Hiring keeps the capability and IP fully in-house, which matters when AI is core to your product. Installed AI is done-for-you and fully documented and handed over, so it's yours to keep — run it in-house later or hand it to a future hire — without you managing any of the engineering today.

Which is right for you

Be honest about the fit

Different tools fit different teams. Here is when each one is the right call.

Choose Installed AI if…

  • You want production agents running in weeks, not after a months-long hire.
  • You would rather have a whole team behind your agents than depend on one person.
  • You want the outcome and ongoing operation without building or managing an engineering team.

Hire an AI engineer if…

  • AI is core to your product and you need that capability permanently in-house.
  • You have the time to recruit and ramp, and the capacity to manage a technical hire.
  • You want to own the IP and roadmap end to end, from day one.

Installed AI vs hiring an AI engineer: FAQs

Is Installed AI cheaper than hiring an AI engineer?
It is a different cost shape: a scoped engagement priced to the outcome rather than a full-time salary plus benefits, recruiting, and management overhead. The free 30-minute audit gives you a concrete number for your case so you can compare directly.
Why not just hire someone?
Hiring is the right call when AI is a permanent, core function of your product. If you want production outcomes fast without recruiting, ramping, and managing a technical hire — and without key-person risk — Installed AI delivers a team's output in 4–8 weeks instead.
What if I want to bring it in-house later?
Bardo hands the system over fully documented, so it's yours to keep. You can run it in-house or hand it to a future hire whenever you choose.
Who maintains the agents after launch?
Bardo keeps them running and makes them better over time — new skills, sharper results — so you are never dependent on a single person staying.
How fast can agents be in production?
Typically 4–8 weeks via The AI Install: Diagnose (week 1), Design (weeks 1–2), Deploy (weeks 3–6), and Operate (ongoing).

See what Bardo would install first.

One 30-minute call. No deck. We map the two or three workflows where Installed AI pays for itself fastest.