Consulting

AI Advisory

Cut through the AI noise. Identify the right use cases, assess feasibility, and build a deployment roadmap grounded in your actual operations.

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Overview

What This Engagement Covers

Every enterprise is under pressure to do something with AI. Most AI advisory engagements produce a long list of use cases and no clarity on where to start. We do the opposite: assess your operations, data, and risk appetite to identify the three to five AI applications that will have the most measurable impact — then build the roadmap to deploy them responsibly.

Included in scope

  • AI opportunity assessment across the enterprise
  • Use-case prioritisation by impact, feasibility, and data readiness
  • AI risk and ethics assessment
  • Build vs. buy vs. configure decision framework
  • AI governance and model risk management design
  • Vendor and platform evaluation

When to Engage

Situations We're Built For

"The board wants an AI strategy by Q3."

We deliver a board-ready AI strategy grounded in your specific operations — not a generic framework. With a prioritised roadmap and governance recommendations.

"We've piloted five AI tools and none of them scaled."

Pilots fail when the use case selection, data readiness, or change management is wrong. We diagnose what went wrong and fix the approach before the next investment.

"We need to assess AI vendors objectively."

We evaluate vendors against your specific requirements — technical, commercial, and regulatory — and give you an unbiased recommendation.

How We Work

Our Approach

1

Operations mapping

Understand where decisions are made, where data exists, and where the biggest inefficiencies live.

2

Opportunity identification

Systematic scan of AI use cases mapped to your operations. Scored by impact, feasibility, and data readiness.

3

Risk assessment

For each priority use case: regulatory exposure, bias risk, explainability requirements, and failure modes.

4

Roadmap

Sequenced deployment plan with resource requirements, governance milestones, and success metrics.

5

Vendor evaluation

If applicable: objective vendor scoring against your specific technical and commercial requirements.

Technologies

Anthropic ClaudeOpenAIGoogle Vertex AIAzure AIAWS SageMakerSalesforce Einstein

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