Turning technology into business.

An independent executive assessment of whether your business priorities, organization, data and applications are ready for AI to create value beyond the pilot — showing what is already in place, which structural gaps hold value back, and what to change first.

Many digital and AI pilots succeed and then stall. We assess your pilots against the conditions enterprise deployment actually requires, and identify what to scale, what to fix and what to stop.

Turn strategy into an executable programme. We identify where material value lies, redesign how work gets done, define the organization, data and applications needed to support it, and sequence the work in waves that each build on the last.

A technology-neutral roadmap from fragmented data and locked-in applications to reusable information and capabilities that people, workflows and AI can call. It builds on the platforms you already have and grows through real use cases, so each new AI application is easier to deliver than the last.

Much of the evidence behind the next discovery may already exist, scattered across internal archives and accessible public sources. Before new acquisition, we revisit that evidence, earlier interpretations and the assumptions behind past decisions — and separate what can be answered now from what genuinely needs new data.

Starting from one consequential production decision, we assess whether your operating history, intervention outcomes, diagnoses and model assumptions are accessible with their meaning intact — and whether the engineering calculations needed to test a hypothesis can be called within a controlled workflow.

We measure how your technology portfolio is balanced between technology-led and need-led investment, compare it with the organization you are today and the one your strategy intends to create, and set out the options for recalibrating it — including the strategic trade-offs associated with each.

An assessment of your capabilities, projects, references and past commercialization efforts, combined with a map of where your technology can create technical, operational and economic value across the energy value chain — with attention to where it can be embedded in existing client workflows rather than sold as a standalone product.

Structured interviews with operators and industry stakeholders to establish real needs, who owns the problem and the budget, how procurement works and what blocks adoption — combined with an assessment of competitors and of the alternative technologies and workflows clients already rely on.

Turn technology and data capabilities into clearly defined products that solve specific client problems, fit client workflows, and can be positioned, sold, delivered and scaled consistently — built around a scalable core that adapts to different applications and clients.

Define target accounts, positioning, routes to market, pricing and contracting, and the role of your own sales team — and compare alternative business models, from project sales and subscriptions to partnerships, licensing and vertical integration, using selected client pilots where they help validate the approach.