AI Strategy Consulting
A funded AI roadmap for banks, insurers and fintechs — prioritised use cases, a business case your CFO accepts, and EU AI Act and DORA guardrails your risk team can sign.
Business Alignment
Prioritize use cases tied to revenue, cost, and risk reduction — scored for value, feasibility and regulatory exposure.
Governance & Risk
EU AI Act risk tiers, DORA ICT-risk and GDPR built into the roadmap from day one, so high-risk use cases are planned, not discovered.
Delivery Readiness
Define the platform, data, and skills required to execute the roadmap — and what to build, buy or partner for.
Engagement Outputs
- • AI strategy blueprint with phased roadmap
- • Use-case scoring and investment prioritization
- • Governance, risk, and compliance framework
- • Organizational model and capability plan
Typical Outcomes
- • Clear executive narrative and funding alignment
- • Reduced delivery risk and compliance exposure
- • Faster time-to-value for prioritized initiatives
- • Shared roadmap across business, risk and IT
What changes for banks and insurers
A generic AI strategy ignores the rules you are audited against. Ours starts from them.
- →Credit scoring and life/health insurance pricing are Annex III high-risk under the EU AI Act — obligations apply from 2 December 2027. We sequence these use cases so compliance work lands before the deadline, not after.
- →Under DORA, AI systems are ICT systems. Your strategy has to fit the ICT risk framework, incident reporting and third-party register you already run.
- →LLM providers are critical third parties. The roadmap includes data residency, exit plans and contract terms, not only model choice.
- →Model risk functions need to sign off. We bring them in during prioritisation, so the use cases you fund are ones they can approve.
What AI strategy consulting costs
Fixed fees, quoted after a 30-minute scoping call. Start small or go straight to strategy.
from €12k
AI Readiness Assessment: infrastructure, data and compliance gaps, 2–6 weeks.
Readiness assessment →from €18k
AI Opportunity Assessment: score and prioritise use cases, 2–3 weeks.
Opportunity assessment →Fixed quote
Strategy, roadmap, business case and guardrails in 4–8 weeks. Scaling to a full AI operating model design runs €60–95k.
All prices excluding VAT.
Frequently Asked Questions
What does an AI strategy consultant actually deliver?
An AI strategy blueprint with a phased roadmap, a scored and prioritised use-case portfolio, a business case your CFO can fund, the governance and compliance guardrails for each use case, and the platform, data and skills plan needed to execute it. The output is an executive-ready strategy and an implementation plan — not a generic maturity report.
How much does AI strategy consulting cost?
The strategy engagement itself is a fixed fee, quoted after a 30-minute scoping call; no time-and-materials. Many clients start with a smaller, fixed-price step: an AI Opportunity Assessment to score use cases (from €18,000) or an AI Readiness Assessment to check infrastructure and compliance gaps (from €12,000). If the strategy leads to a full operating model redesign, design-only engagements run €60,000–€95,000.
What's the difference between AI strategy and an AI PoC?
A PoC proves a single use case works technically. An AI strategy defines which use cases to pursue, in what order, with what governance, and how they connect to business value. Without strategy, organizations often end up with a graveyard of disconnected PoCs that never reach production.
How do you handle EU AI Act, DORA and GDPR compliance?
Compliance is embedded from the start, not bolted on later. We classify AI use cases by EU AI Act risk tier, check how each fits your DORA ICT risk framework and third-party register, define GDPR data governance, and build compliance checkpoints into the delivery roadmap. This prevents costly rework when obligations apply.
How long does an AI strategy engagement take?
Typically 4–8 weeks. The first two weeks focus on stakeholder interviews, data landscape assessment, and use-case discovery. Weeks 3–6 cover strategy formulation, prioritisation and roadmap development. Final deliverables include an executive-ready strategy deck and a prioritized implementation plan.
Why hire a boutique AI consulting firm instead of a large consultancy?
With a boutique, the senior person who scopes the work is the one who does it, pricing is fixed, and recommendations are vendor-neutral. Large consultancies bring global breadth and bench size. If you need one senior engineer-strategist who has shipped AI platforms inside regulated banks, a boutique is usually faster and cheaper; if you need fifty people across ten countries, it is not.
Need an execution partner?
We turn AI strategies into operational platforms with measurable performance.
See Platform Engineering