Which delivers better cost, speed, expertise, and ROI? Let’s compare.
Building AI takes more than developers.
You need specialized talent, infrastructure, data expertise, and ongoing investment.
An internal AI team stays close to your workflows, data, and long-term product roadmap.
But that control comes with higher fixed costs.
Recruitment fees. Senior salaries. Infrastructure. Training. Retention.
A lean four-person AI team can cost $800K+ annually in payroll alone.
AI agencies bring ready-to-deploy specialists, proven frameworks, and mature processes.
That means less hiring friction and faster development.
Need more AI engineers today and fewer after launch?
An agency lets you scale resources without permanent headcount.
For POCs and faster deployments, agencies can reduce upfront risk.
For large, permanent AI systems, in-house teams may pay off long term.
Keep AI strategy and data governance in-house.
Use an agency for heavy engineering, pipelines, model training, and scaling.