Redesign how work gets done.
AI high performers are about 3x more likely to redesign workflows around AI (McKinsey State of AI 2025).
A prioritized, ROI-backed AI roadmap, so investment goes to use cases that reach production and pay back
Most organizations have AI pilots, but few have AI value. The gap is rarely the model. It comes from choosing the wrong use cases, skipping the data and process work, and scaling without governance.
Our AI Strategy & Transformation service turns AI ambition into a prioritized portfolio of use cases, a funded roadmap, and the controls to scale safely. Success is judged on business outcomes, not demos.

AI high performers are about 3x more likely to redesign workflows around AI (McKinsey State of AI 2025).
Gartner predicted that at least 30% of GenAI projects would be abandoned after proof of concept. A clear strategy helps you avoid becoming part of that number.
51% of AI adopters have already had a negative AI incident (McKinsey).
We review your data, platforms, skills, operating model and risk posture to understand where you stand today.
We identify AI opportunities across your functions and operations, then score each one on value, feasibility and risk.
We build business cases and sequencing, and set out build, buy or partner decisions along with deployment options across cloud, on-premises and hybrid.
We define your AI policy, risk tiers, human-oversight rules and EU AI Act-aligned controls.
4–6 weeks for the assessment and roadmap. A retainer is available for ongoing AI advisory and governance.
Engagement Lead, AI Strategist, Data & AI Architect, Industry / Process SME and a Responsible-AI Advisor.
AI readiness and maturity frameworks, use-case value and feasibility scoring, and responsible-AI standards such as NIST AI RMF, ISO/IEC 42001 and the EU AI Act.
Delivered in-house, with model and cloud providers engaged where required.
A fixed fee for the assessment and roadmap, and a monthly retainer for advisory. Contact us for a quote.
An executive sponsor, business-unit owners for workshops, an overview of your data and system landscape, and your current AI initiatives and policies.
Start with a 4–6 week assessment and leave with a prioritized, ROI-backed AI roadmap.