Enterprise-AI comparisons

Key enterprise-AI decisions: applied-AI partner vs traditional consultancy, Agentic OS vs building your own platform, build vs buy.

• Agentic OS vs a standalone AI agent — Choosing between an Agentic OS and a standalone AI agent comes down to the scope of the work: a lone agent solves one task; an Agentic OS orchestrates several to run a whole process.
• Agentic OS vs building your own AI platform — Deciding between an Agentic OS and building your own AI platform from scratch comes down to opportunity cost: building in-house takes longer and competes with your product for scarce AI talent.
• Build vs buy in enterprise AI — The build-vs-buy decision in enterprise AI has three options, not two: buy a closed tool, build bespoke from scratch, or a bespoke orchestration layer on a proven base.
• Applied-AI partner vs traditional consultancy — Choosing between an applied-AI partner and the traditional consultancy model comes down to who ends up running the system: with a partner, your team runs it alone once the project ends.
• Bespoke builds vs Agentic OS: where to start? — Starting with a bespoke build or with an Agentic OS depends on your maturity: a scoped build validates a case fast; an Agentic OS orchestrates several processes once you know where the advantage is.