AI Agency vs Building In-House
Almost every build-versus-buy article is written by someone selling one of the two. Here is the version that names when you should not hire us.
Side by side
| In-house | An agency | |
|---|---|---|
| What it costs | An AI engineer's fully loaded cost. BLS puts benefits and taxes at 30.1% of total compensation on top of salary | A monthly fee. Ours is $2,500; most agencies will not publish theirs |
| Time to first working thing | Hiring, then ramp, then build | Weeks, because the ramp already happened on someone else's project |
| Who owns the knowledge | You. This is the real argument for in-house and it is a good one | The agency, unless your contract says otherwise. Ask before signing |
| When it breaks at 2am | Your person, if they are still there | Their problem, if the contract says so |
| Flexing down | Redundancy | Cancel, if it is month-to-month. Most agencies are not |
| Depth on your business | Deep, and compounding | Shallower, and it resets when the account manager changes |
| Risk if it does not work | You carry the salary either way | Depends entirely on the term and the guarantee |
What in-house actually costs
Start with the number that is usually left out. Salary is not the cost of an employee. The US Bureau of Labor Statistics Employer Costs for Employee Compensation release for March 2026 puts wages at 69.9% of total compensation in private industry, with benefits and taxes making up the other 30.1%. That is a 1.43× multiplier before you have paid for a laptop, software seats, recruiting, or the management time.
Then add the part that does not appear on any spreadsheet: the months between signing the offer and the first thing shipping. That gap costs whatever the problem was costing you, for however long it lasts.
The false binary
Almost every build-versus-buy article presents two options, and it is written by someone selling one of them. Platform vendors conclude you should buy their platform. Dev shops conclude you should commission a build. Neither mentions the third shape, which is a team that does the work for you and hands you the outcome rather than the tooling.
We are obviously in that third category, so weigh this accordingly. But the structural point stands regardless of who is making it: “build it yourself” and “buy software and figure it out” are not the only two doors.
The question that actually separates them
Not cost. Is this capability something you need to own?
If AI agents are how your company competes, build in-house, accept the ramp, and do not rent your core competency. If agents are plumbing — the thing that stops your ops person spending Tuesday copying data between two systems — then owning the capability is not an asset, it is a headcount you now have to keep busy.
The three things to ask any agency, including us
- What is the term? A twelve-month contract makes an agency’s revenue independent of whether the thing is working. Month-to-month does not. Ours is month-to-month for exactly that reason.
- Who owns what you build? Ask before signing, not after. If the answer is vague, that is the answer.
- What happens if it does not work? Most answers to this are a paragraph. A real answer is a number.
For reference, ours is $30,000 a year at $2,500/month. month-to-month. cancel anytime. Set that against a fully loaded engineer and it is roughly a third to a quarter of one — which is the honest comparison, and also the one that stops being favourable the moment your volume justifies a full-time person.
Where these numbers come from. Wages are national median annual figures from the US Bureau of Labor Statistics Occupational Employment and Wage Statistics, May 2025 OEWS estimates, released May 15, 2026 (source). Median is used throughout rather than mean, because the mean is pulled upward by high earners and would overstate the case. The loaded-cost multiplier of 1.43× is the private-industry ratio of total compensation to wages from the BLS Employer Costs for Employee Compensation release, March 2026 (source). That multiplier covers benefits and payroll taxes only — it excludes software seats, workspace, recruiting and management overhead, so it understates true cost to employ.
When in-house is the right answer — and we would rather say so than sell you something that will not work:
- — Agents are your product, not your back office. If you are selling AI agents, do not outsource the thing you sell.
- — Your data genuinely cannot leave your environment — regulated, classified, or contractually locked.
- — You already employ someone who has shipped this and has capacity. Do not pay twice.
- — You are large enough that the work is continuous. Past a certain volume, an agency is a rented team at a premium and you should just hire.