Decision Guide · Build vs Buy

Should You Build AI In-House or Hire an AI Agency?

The stakes are high. Here’s an honest comparison of cost, speed, risk, and control—plus when Zyphh thinks you should outsource or build.

15 min read Balanced view Time-to-value focus
2-6xFaster launch with agency
$250k+Year 1 cost to hire 2-3 FTEs
90 daysTypical transition plan
1Hybrid path recommended

How to decide: the 4 dimensions

Speed: Agencies bring patterns and teams that launch in weeks. In-house takes months to hire and align.
Cost: Agencies are OPEX; in-house is salary, benefits, tooling, and retention. Hybrid splits risk.
Control/IP: In-house wins for core IP. Agencies fit best for operations, support, and go-to-market automation.
Risk: Agencies with guardrails reduce early mistakes; in-house may learn by trial and error.

When an agency makes sense

When in-house is the right move

Hybrid: best of both

Ship the first 2–3 use cases with an agency to prove ROI and create templates. Hire selectively while the agency builds. Transition over 60–90 days with training and paired delivery.

Cost and time snapshots

How Zyphh works with your team

Bias alert: we’re an agency. But we’ll tell you when in-house wins—so you don’t waste time or budget.

Next step: compare options on one page

We’ll map your use cases to three paths—agency, hybrid, in-house—with cost, time, and risk spelled out. Then you choose.

Compare options with us See recent launches

FAQ

Can you help build in-house?

Yes. We’ll define roles, interview, and transition knowledge while delivering live systems.

Do you white-label IP?

No. We build on your stack with your ownership. Templates stay with you.

What about security?

We design with refusal rules, private/retrieval patterns, and audit logs. We align with your compliance team.

How do you avoid dependency?

Runbooks, training, and paired delivery ensure your team can own it. We stay on-call if you want.