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Posted on • Originally published at operatoriq.io

Vendor selection: build vs buy vs orchestrate agentic AI

#ai #productivity #saas #agentic

Build vs buy is a 2010 framework. Agentic AI in 2026 needs a third option: orchestrate. Here is the framework, cost ranges, and the 5 questions that pick between the paths.

Three paths, not two

Most procurement guides give you two options: build from scratch or buy an enterprise platform. The third option called orchestrate lets you compose off-the-shelf APIs and LLMs with a thin workflow layer you own.

Cost ranges:

  • Build: 80K to 400K up-front + 40K/year maintenance
  • Buy: 80K to 400K/year subscription
  • Orchestrate: 5K to 30K up-front + 1K to 5K/month

The 5 questions that pick the path

  1. How unique is this workflow? Commodity workflows: buy. Mildly custom: orchestrate. Competitive moat: build.
  2. What is your team capability? 1 senior engineer: orchestrate. 3-engineer team: orchestrate or build. No engineering team: buy.
  3. How much time pressure? 4 weeks to deliver: orchestrate or buy. 12+ months with moat potential: build.
  4. Vendor risk tolerance? Buy = highest. Orchestrate = medium. Build = no workflow vendor risk.
  5. Integration depth? Shallow (1-2 systems): all paths work. Deep (10+ systems): build or orchestrate.

Real cost example

A 60-person SaaS company needs an outbound sourcing agent. Build path: 180K in engineering labor, 14 weeks. Buy path: 50K/year platform + 15K setup. Orchestrate path: 14K up-front + 650/month in APIs, 3 weeks to value.

For most workflows at 30-to-300-person companies, orchestrate wins.

Failure modes

Build fails when: team ships nothing the business adopts, or re-creates a 400/month API from scratch for 8 weeks.
Buy fails when: the contract goes unused, or integration professional services cost as much as building.
Orchestrate fails when: no verification layer catches agent errors, or the workflow grows to 4K lines with no docs.

The playbook

  1. Define the workflow in 1 page: input, output, success criteria, integration depth.
  2. Run through the 5 questions above.
  3. Get 2 estimates for the chosen path.
  4. Run a 30-day pilot on real data before committing.
  5. Renew or kill at 30 days.

For AI visibility and how AI models perceive your SaaS brand, see the LLMRadar Audit at operatoriq.io.

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