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Consulting and Executive Communication

Guide · Enterprise AI Solution EngineeringPage 16 of 18Overview → … → Consulting

Executive view

Demand an explicit ask, visible trade-offs and labelled uncertainty—not confidence theatre.

Decision required: What must you approve, defer or stop—and by when?

Technical view

Put architecture and model detail in the appendix; front page holds the decision narrative.

Name next steps and owners; label assumptions that still need validation.

Communicate in decision structure​

Senior stakeholders need:

  • What is happening?
  • Why does it matter?
  • What are the options?
  • What do you recommend?
  • What decision is required?
  • What happens next?

Executive update structure​

Situation​

Describe the current context.

Complication​

Explain the problem, constraint or risk.

Recommendation​

State the proposed action.

Impact​

Explain value, cost, risk and timing.

Decision required​

Make the ask explicit.

Example​

Situation: Customer-service demand has increased while response times have deteriorated.

Complication: Agents spend significant time searching across fragmented knowledge sources, producing inconsistent responses.

Recommendation: Implement a retrieval-augmented AI assistant integrated with the existing service platform.

Impact: The proposed solution should reduce search time, improve consistency and provide auditable sources.

Decision required: Approve a six-week discovery and prototype phase.

Solution narrative​

A strong solution narrative should cover:

  1. Business problem
  2. Current-state limitation
  3. Target outcome
  4. Proposed capability
  5. Architecture
  6. Security and governance
  7. Delivery approach
  8. Commercial model
  9. Expected value
  10. Decision required

Communicating trade-offs​

Do not hide uncertainty. Use language such as:

  • The main trade-off is…
  • The preferred option is…
  • This assumption requires validation…
  • The risk can be reduced by…
  • The decision is reversible if…
  • The downside scenario is…

Case study: financial-services assistant​

Executive ask is not “approve generative AI.” It is “approve a six-week discovery and prototype with defined evaluation gates, DPIA start, and a go/modify/stop decision.” Architecture and model details stay in the appendix until the decision is framed.

Common failure modes​

  • Technology tours instead of decisions
  • Hiding uncertainty to sound confident
  • No explicit ask
  • Mixing status updates with recommendations
  • Overloading slides with architecture before the problem

Solution Engineer checklist​

Solution Engineer checklist

  • Update follows situation → complication → recommendation → impact → ask
  • Options and trade-offs visible
  • Uncertainty labelled
  • Next steps and owners named
  • Appendix holds depth; front page holds the decision

Practical exercise​

Rewrite your last status email as a half-page SCRID memo. Delete every sentence that does not help the decision.

Discussion

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