Data & AI Strategy Advisory
We help leadership decide where data and AI investment will actually move the business — separating the initiatives worth funding from the ones that only sound good in a deck. The work is grounded in how trading, supply, and grid teams really operate, not a generic maturity model.
Book a Consultation →Typical engagement deliverables
- Current-state data & analytics maturity assessment
- Prioritized AI/analytics opportunity roadmap
- Business case and ROI model for funded initiatives
- Target-state architecture and operating-model recommendations
Technology & partner ecosystem
Strategy is separating what’s worth funding from what only sounds good in a deck.
We don’t start from a blank page. We come in with a mapped catalog of 40+ analytics and AI use cases across the energy value chain — trading and commodity, revenue, customer, service operations, and financial — and a consistent lens for scoring them against your reality. That is the difference between a roadmap you will actually fund and a wish list.
Business value at stake
We size the prize in the operator’s own terms — margin captured, leakage recovered, risk avoided, hours returned — not a generic “productivity uplift”. If we can’t name the number it moves, it doesn’t make the roadmap.
Data & platform readiness
The best idea on paper stalls when the data isn’t there. We score each opportunity on the data, pipelines, and platform it actually needs, so sequencing reflects what you can build now versus what needs foundation first.
Time to first value
We favor initiatives that prove themselves early and earn the next phase over multi-year programs that ask for faith. Momentum is a strategy input, not an afterthought.
Build, buy, or partner
For each initiative we’re explicit about whether to build, buy, or partner — and honest when the answer isn’t “hire us for all of it”. Vendor-neutral, because we’re not reselling a platform.
Where data & ai strategy advisory shows up in energy.
A wholesale energy business got a phased, fundable roadmap to one trusted source of trading information.
Front, mid, and back office were making decisions off disconnected sources. Leadership needed a roadmap to a single, quality-controlled view of trading information — not another point tool. We assessed the current state and sequenced the path, de-risked with a proof of concept.
A multi-business-unit retailer got one BI master plan instead of four disconnected ones.
Four business units were each adopting BI their own way. We built an enterprise BI master plan — one assessment, one architecture, one adoption path across wholesale/risk, C&I, mass markets, and home services.
How a data & ai strategy advisory engagement runs.
- 01
Assess
We start by understanding the current state — the data, the systems, and the real problem underneath the stated one.
- 02
Roadmap
We prioritize the work that will actually move the business, sequence it, and build the case for funding it.
- 03
Build
We deliver the pipelines, models, and reporting — working alongside your team, not in a silo.
- 04
Run
We hand over a solution your team can operate and evolve, with the enablement to keep it running after we leave.