Senior commercial and operational leadership — delivered at the speed and cost that AI tools make possible. Twenty years inside the world's most demanding industrial and energy businesses, now working for you.
AI-augmented analysis compresses weeks of research and synthesis into days. When decisions are time-sensitive — post-acquisition windows, pricing changes, commercial pivots — speed is value.
No team of analysts behind me. No inflated day count. AI handles the analytical grunt work — I focus on the judgment and the recommendation. You get senior thinking at a cost structure that makes sense.
AI generates — experienced operators validate. Every recommendation is grounded in 20 years of real commercial decisions in energy and industrial markets, not just data pattern recognition.
Creating Value by Blending Innovation,
Strategy, and Straightforward Execution
Philip brings over 20 years of experience across industrial technology, automation, and energy services — including a decade at SLB (Schlumberger) in Business Manager and Product Portfolio Director roles, and prior careers at GE Oil & Gas and Rockwell Automation. He has owned P&Ls, secured $500M+ in committed long-term contracts, and driven commercial transformation across capital equipment, drilling services, and digital offerings — in environments where safety, compliance, and precision are non-negotiable.
Golden Egg Solutions was founded on a simple insight: the most valuable consulting is experienced judgment, delivered fast. By combining AI tooling with hard-won operational knowledge built across three companies and four distinct business functions, Philip delivers the strategic clarity of a large consulting firm without the cost, the timelines, or the gap between the partner who pitches and the analyst who delivers.
Focused engagements that address the specific commercial and operational challenges facing energy, industrial, and technology businesses. No generalist recommendations — every engagement draws on direct industry experience.
Pricing strategy, service packaging, and contract architecture for technically complex businesses. Particularly suited to companies transitioning from transactional to recurring revenue models — including digital services, IoT products, and long-term service agreements in energy and industrial markets.
Harmonising commercial models after acquisitions — preserving what made the acquired business valuable while building the standardisation that creates margin and scale. Structured for situations where integration speed and commercial continuity both matter.
Identifying and eliminating the operational inefficiencies that erode margin without appearing on the income statement. Process optimisation, cost structure analysis, and productivity improvement in capital-intensive, regulated environments where lean methodologies must coexist with safety and compliance requirements.
Pre-acquisition commercial diligence with an operator's lens — evaluating commercial model quality, identifying revenue leakage, and assessing the gap between current performance and potential. Useful for any buyer — strategic acquirer, private equity, or management team — who wants commercial clarity before committing capital.
Commercial model development for businesses operating at the energy transition intersection — BESS, hydrogen, carbon capture, and hybrid power portfolios. Building commercial architecture for products and services where buyer profiles, contract structures, and revenue models are still being defined by the market.
Independent evaluation of technology and service proposals — assessed with an operator's understanding of how OFS and technology companies structure their commercial cases. Particularly valuable for operators who want to understand what the vendor's proposal actually means before signing.
Aligning stakeholders for project success and clarity — ensuring everyone is working toward the same outcome before analysis begins.
Systematically gathering company data, market context, and operational detail — with AI-assisted transcription and synthesis to capture everything accurately.
Analysing data using confidential offline LLM techniques — insights are generated without compromising data security or exposing sensitive business information.
AI-generated insights validated by 20 years of commercial and operational experience — ensuring recommendations are both analytically rigorous and practically executable.
Delivering clear, actionable strategies — not slide decks designed to justify more consulting. You leave with decisions made and a path to execute.
Private equity firms, family offices, and strategic acquirers evaluating industrial, energy services, and energy transition investments — for commercial diligence on new platforms and commercial improvement in portfolio companies. An operator's perspective on commercial model quality, not a banker's view of financial metrics.
Oilfield services, well services, and industrial services businesses navigating margin pressure, pricing model transformation, post-acquisition integration, or the shift from equipment-led to service-led commercial models. Deep sector experience means no learning curve — and no time wasted on basics.
Businesses recently acquired — by PE or strategic buyers — that need senior commercial leadership during transformation but cannot yet justify a full-time hire. Engagements are structured around the investment thesis: focused, measurable, and designed to build value toward the next milestone.
Companies building commercial models in BESS, hydrogen, carbon capture, and hybrid power — where the technology is ready but the commercial architecture is still being built. Bringing SLB BESS launch experience and energy transition commercial model expertise to organisations navigating genuinely new commercial territory.
Mid-size industrial IoT, analytics, and technology companies past startup stage and facing the commercial scaling challenges that come with growth — product portfolio rationalisation, pricing model discipline, and the challenge of selling software and data products to operational buyers.
European energy and industrial companies with US commercial operations — particularly those navigating the cultural and commercial gap between European engineering heritage and US market expectations. As a UK national with 20 years in Houston, this is a uniquely specific capability.
Most consultants talk about AI. Golden Egg Solutions is built around it. Every engagement uses AI tooling to accelerate analysis, synthesise information, and generate recommendations — all validated by 20+ years of commercial judgment.
The result is a consulting model that is genuinely different: the depth of thinking you expect from a senior partner, delivered at the pace and cost of a lean, technology-augmented operation. No junior analysts. No padding. No unnecessary meetings.
And critically — with complete confidentiality. Data analysis is conducted using offline LLM techniques where required, ensuring sensitive commercial information never leaves your environment.
AI compiles competitive landscape, pricing benchmarks, and market data in hours, not weeks.
Offline LLM analysis of your commercial data — no cloud exposure, complete data security.
AI surfaces patterns across large datasets that would take traditional analysis weeks to identify.
Every AI-generated insight is reviewed and validated against 20 years of real commercial decision-making.
The best engagements start with a specific problem — a pricing model that is not capturing the value it should, an acquisition that needs commercial integration, a product launch that is not converting, or a margin structure that needs rebuilding. If you have a specific challenge in mind, we should talk.
Tell us about your challenge and we'll follow up within one business day.