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Your AI or ML Project May Be Closer to “Amber-Red” Than It Appears — Watch This First**

Get Clarity on Whether Your AI or ML Project Is Truly Ready to Proceed,

Through the Next Project Stage

Step 2 of 3...

**Wait! Before You Go…

Are you ready to assess whether your AI or ML Project is genuinely ready to progress through the next Stage Gate — or if early warning signals are already hiding beneath the surface?


AI projects need stage gates to provide structured governance, mitigate high risks, ensure alignment with business objectives, and manage resource allocation effectively. The inherent uncertainties, ethical constraints, and potential for high costs in AI initiatives make these formal review checkpoints essential.


Say goodbye to uncertainty, blind optimism, and governance by guesswork —

and hello to an evidence-based assessment of your AI or ML Project’s true health.

Ivan Snell

Introducing:

(Ivan Snell) is a trusted IT programme leader who specialises in stabilising complex digital, AI, and IT initiatives — especially those entering risky transition points between different project stages..


He doesn’t offer theory. He offers real-world leadership drawn from decades of working with CIOs, IT Project and Programme Directors on high stakes, complex and challenge IT delivery initiatives.


Your Stage-Gate Partner helps you diagnose:


✔ Whether your next AI or ML Project Stage Gate’s IT, Business and Operational readiness criteria are truly “in the green”

✔ Whether your next AI or ML Stage Gate is realistically achievable

✔ Whether governance, data readiness, backlog clarity, and ownership are aligned

✔ Whether delivery teams are operating with real confidence — or optimistic reporting

✔ Whether your programme is gaining momentum or verging towards meltdown 


It’s time to make evidence-based decisions — not hope-based assumptions.

Your Alignment Call will help you assess:

  • Stage Gate Readiness
  • Data & Model Foundations
  • Delivery Reality Check
  • Stakeholder Confidence

Confirm whether key requirements are genuinely met — or just assumed.

Ensure quality, ownership, and viability for AI or ML Project success.

Validate commitments using bottom-up evidence, not slideware optimism.

Align IT and business sponsors with clarity, visibility, and shared outcomes.

Snell Consultancy Services Limited · All Rights Reserved · Privacy · Terms and Conditions

Snell Consultancy Services Limited · All Rights Reserved · Privacy · Terms and Conditions

Snell Consultancy Services Limited · All Rights Reserved · Privacy · Terms and Conditions

Snell Consultancy Services Limited · All Rights Reserved · Privacy · Terms and Conditions

Snell Consultancy Services Limited · All Rights Reserved · Privacy · Terms and Conditions