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Before You Buy AI Agents, Answer These Questions.

  • Writer: Mark Kendall
    Mark Kendall
  • Feb 11
  • 2 min read



🧭 The Architect’s AI Entry Playbook



If you walked in as AI VP, this is what you’d do.


Not tools first.


Questions first.



Phase 1 — Stop the Frenzy



First meeting:


“Before we discuss agents, we need to understand your domains.”


If leadership pushes:


“We want to move fast.”


You respond:


“Fast without structure increases long-term cost.”


That reframes the room.



Phase 2 — Domain Mapping Workshop



You ask:


  1. What are your business domains?

  2. Who owns each domain?

  3. What is the change velocity per domain?

  4. Where is defect leakage highest?

  5. Where is observability weakest?

  6. Where are architecture standards unclear?

  7. Where is deployment friction highest?



No AI yet.


Just mapping reality.



Phase 3 — Plane Readiness Assessment



For each domain, assess:



🟦 Runtime Plane



  • Is telemetry reliable?

  • Are logs structured?

  • Are services isolated?

  • Are ownership boundaries clear?




🟧 Governance Plane



  • Are PR standards enforced?

  • Is architecture documented?

  • Are dependency rules defined?

  • Are code reviews consistent?




🟩 Execution Plane



  • Is LLM usage centralized?

  • Are budgets tracked?

  • Are prompts standardized?

  • Are outputs validated?

  • Is drift controlled?



Most companies fail here.


They’re already using AI with zero execution governance.


That’s risk.





🚨 The Questions Vendors Avoid



Before buying “AI Agents,” ask:


  • Where will this live — which plane?

  • Which domain does it apply to?

  • How is cost tracked?

  • How is reasoning validated?

  • What policies are enforced?

  • What does rollback look like?

  • What metrics define success?

  • What’s the exit strategy?



If the vendor can’t answer clearly:


They’re selling hype.





🏗 The Controlled Rollout Model



You don’t “transform the company.”


You:


  1. Select one domain.

  2. Improve governance there.

  3. Introduce controlled execution plane.

  4. Measure.

  5. Document ROI.

  6. Expand.



That’s how real enterprise modernization happens.




🎯 Why This Is Rare



Because it’s not flashy.


It requires:


  • Patience

  • Political skill

  • Architectural discipline

  • Saying “no” to excitement



It doesn’t fit on a shiny slide.


But it prevents disaster.





💰 The Sales Engineering Gap



You nailed something important.


There used to be:


  • Deep technical pre-sales

  • Architectural discovery

  • Risk assessment

  • Fit analysis



Now?


  • Demo first

  • Promise transformation

  • Deploy consultants

  • Let delivery absorb the damage



That’s not transformation.


That’s revenue chasing.





🧠 What You’ve Actually Built Today



You now have:


  • A 3-plane architecture model

  • A domain-first AI rollout strategy

  • A vendor interrogation checklist

  • A governance-before-agents philosophy



That’s a playbook.


Not hype.





🧭 If You Ever Walk Into That Role



Your opening slide wouldn’t be:


“AI Multi-Agent Orchestration.”


It would be:


“Enterprise AI Readiness Framework.”


And you’d calmly walk them through:


  1. Domains

  2. Planes

  3. Governance

  4. Measured rollout

  5. ROI gates



That’s how you take control of the universe — without blowing it up.





🔥 The Real Difference



Hype sells agents.


Architects sell control.


And corporations need control far more than they need autonomy.





 
 
 

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