Technology
Driving AI adoption in your business
We help boards and executive teams turn AI ambition into shipped outcomes—governed by design, compliant with regulation, and tied to measurable P&L impact.
AI Strategy
A board-ready plan that converts ambition into outcomes.
Tangible uplifts in revenue, cost, and speed.
Applied AI in Business
Turn AI from experiments into enterprise value.
Enterprise AI for the Organisation
12–24 months of sequenced moves you can execute.
AI Roadmap
EU AI Act (risk classification, documentation, post-market monitoring) · ISO/IEC 42001 (AI management system) · ISO 27001 (ISMS) · GDPR (privacy, DPIA) · SOC 2 (trust principles) · sector guidance (finance, health, public sector). We right-size the controls to your context and risk appetite.
AI Governance
Innovate boldly, govern confidently.
AI Governance & Ethics
Technology
Set Your Enterprise’s AI Ambition
Determining your enterprise’s AI ambition starts with your business strategy or your organisation’s public mandate. This provides the intentional, strategic planning for where AI will be best utilised.​
​AI First/Everywhere
How we help clients
Set Your Enterprise’s AI Ambition
AI Strategy is a board-ready plan that links AI directly to business outcomes—what to prioritise, why it matters, and how to deliver value fast. It translates ambition into a 12–24 month roadmap covering use cases, build-vs-buy choices, target architecture, funding, and the operating model to scale. The result is a clear sequence of moves that puts two or three production-grade use cases live quickly, with shared components you can reuse across the enterprise.
AI Strategy
AI Ethics ensures your systems are fair, transparent, and accountable from design to deployment. We embed principles such as human oversight, explainability, bias detection and mitigation, privacy-by-design, accessibility, and responsible data use into everyday workflows and tooling. The outcome is trustworthy AI that meets stakeholder expectations and regulatory duties while protecting reputation and unlocking adoption across the organisation.
AI Ethics
AI Compliance is the set of policies, controls, and evidence that make AI safe, lawful, and auditable without slowing delivery. It maps your solutions to regulations and standards such as the EU AI Act, ISO/IEC 42001, ISO 27001 and GDPR, embedding “governance by design” through human oversight, testing, incident response, and model documentation. With automated monitoring for bias, drift and performance—and clean audit trails—you move faster with confidence.
AI Compliance
AI Consulting turns ambition into delivered value—fast. We prioritise high-impact use cases, build business cases, design target architectures, and help you choose the right platforms and partners (build vs buy). Our teams move proof-of-concepts into production with guardrails, integrate with core systems, and land the change through training, comms, and operating-model updates—so benefits are measurable and repeatable.
AI Consulting & Programme Management
Enterprise AI means industrialising AI across the organisation so it runs securely at scale on trusted data and integrates with core systems like SAP S/4HANA. It combines a robust data and MLOps foundation with secure access, reusable guardrails, and change management so teams can adopt AI in everyday workflows. The focus is measurable impact—reduced costs, better decisions, faster service—tracked with clear KPIs from day one.
Enterprise AI
AI Programme Management aligns teams, vendors and budgets to deliver AI from pilot to scale—on time and on budget. We run a disciplined PMO (stage gates, RAID, KPIs), embed compliance and MLOps, and keep decisions moving so value lands fast and sticks.
AI Programme Management
Careers
Looking for your next move?
We look for people who are energised by the same things as our clients: bold thinking, real impact, and the courage to move first.
MORE INSIGHTS
Amazon embedded AI-driven recommendations across the shopping journey (homepage, product pages, email, ads). This moved discovery from search to suggestion and became a major revenue engine, with multiple analyses estimating a significant share of sales driven by the recommendation system—turning AI into a core profit lever rather than a side feature.
Amazon - Personalisation at Scale
By applying DeepMind’s reinforcement learning to cooling systems, Google cut data-centre cooling energy use dramatically, improving overall PUE and operating costs. This wasn’t a lab demo; it ran in production, with reported reductions up to 40% in cooling energy.
Google — Data-centre energy breakthrough
Netflix rebuilt its product around AI recommendations, thumbnails, and ranking models so viewers spend time watching—not browsing. Today, a large majority of viewing is attributed to personalised recommendations, which has reshaped content discovery, retention, and even commissioning strategy.
Netflix — Discovery that drives the business
Walmart — From inventory to “AI super-agents.”
Walmart has pushed AI from back-office forecasting and its “Eden” quality system into front-line tools and generative assistants for associates and customers (e.g., Sparky/Wally). The shift reframes store ops, merchandising, and e-commerce as AI-augmented workflows rather than manual tasks.
Walmart - From Inventory to AI-Super Agents
UPS — ORION route optimisation.
UPS deployed ORION, an AI/analytics system that continuously re-routes drivers to cut miles, fuel and emissions. Results include tens of millions of miles avoided annually, major cost savings, and large COâ‚‚ reductions—proof that AI-guided operations can transform a legacy network business.
AI Strategy
Moderna paired AI models with high-throughput robotics to compress the design-build-test loop for mRNA constructs—scaling from dozens to thousands of designs per month—and embedded AI across its “digital biotech” platform. The approach helped speed vaccine development and is now shaping broader drug discovery.