Advisory that ships, not slideware
Practitioner-led consulting across data, AI, cloud, governance, and trading technology, working alongside your teams from strategy to production. Governance-first and vendor-neutral, built for regulated organizations that need outcomes they can defend to regulators, auditors, and boards. 10 services across two practices, from the same firm that builds enterprise software and teaches these domains.
Consulting that closes the gap between strategy and a running system
Most enterprises do not lack strategy. They lack the bridge between a plan and a system that actually runs, governed, defensible, and owned by their own teams. That gap, between the slideware and the production reality, is where our consulting practice lives. We work across the whole arc: target-state strategy, architecture, and hands-on delivery, so the engagement ends with working capability rather than a document describing one.
The practice is deliberately built for hard, regulated environments. Whether the work is modernizing a data estate, standing up governance that survives audit, deploying AI you can defend, or landing an ETRM platform on a trading floor, the same principles apply: led by practitioners who have done it, governance and auditability engineered in from the start, vendor-neutral recommendations that follow the evidence, and delivery in slices that prove value early. Below, explore the 10 services across our two practices.
10 services across two practices
Our consulting is organized into two practices. Data and AI covers the modernization, governance, productization, and responsible-AI arc. Industry and platform covers the domains where delivery has to reflect how a specific sector really works.
Data & AI
Modernize, govern, and productize data, and bring AI in responsibly, on a foundation your teams and regulators can trust.
This is where most enterprises are trying to make progress and most get stuck: modernizing the data estate, governing it so it can be trusted, productizing it so teams can move fast safely, and bringing AI in without creating unquantified risk. These five services address that arc end to end, and they connect, so modernization lands on governed foundations and AI is deployed with the controls to defend it.
Data Modernization
Target-state architecture and migration that reduce cost and build trust
Target-state architecture, migration roadmaps, and lakehouse foundations that reduce cost-to-serve while improving trust in data.
Outcomes
- A clear target-state architecture and migration roadmap
- Lakehouse foundations that scale and stay governed
- Lower cost-to-serve with measurably higher trust in data
Enterprise Data Governance
Governance as a capability, not a committee
Operating models, master data, metadata, and quality engineering that make governance a capability that runs, not a committee that meets.
Outcomes
- A governance operating model that actually operates
- Master data, metadata, and quality engineered in
- Controls that survive audit and regulatory scrutiny
Data Mesh & Productization
Federated, product-oriented data ownership done safely
Federated, product-oriented data ownership with the platform and governance that make self-service safe instead of chaotic.
Outcomes
- Data products with clear ownership and contracts
- A self-service platform with guardrails built in
- Federation that scales without losing control
AI Governance & Responsible AI
AI you can deploy, and defend
AI governance, fairness, and transparency mapped to emerging regulation and internal audit, so AI can be deployed and defended.
Outcomes
- An AI governance framework mapped to regulation
- Fairness and transparency you can evidence
- AI that passes internal audit and external scrutiny
Model Risk Management
Independent validation and MRM aligned to the standards
Independent model validation, AI audit, and MRM-as-a-service aligned to SR 11-7, the EU AI Act, and the NIST AI RMF.
Outcomes
- Independent validation of models and AI systems
- MRM aligned to SR 11-7, EU AI Act, and NIST AI RMF
- Audit-ready evidence and ongoing monitoring
Industry & Platform
Deep, sector-specific delivery where the domain is unforgiving: energy and commodity trading, carbon and ESG, cloud cost, and healthcare data.
Some problems are too domain-specific for generic data consulting. Energy and commodity trading, carbon and ESG disclosure, cloud economics, and healthcare interoperability each have their own systems, standards, and failure modes. These five services bring practitioners who know those domains from the inside, so delivery reflects how the work is really done rather than a generic playbook applied hopefully.
ETRM Consulting
ETRM implementation and modernization that lands
ETRM implementation and modernization, trading analytics, and risk platforms for energy and commodity desks, delivered by people who have done it.
Outcomes
- ETRM implementation and modernization that reaches production
- Trading analytics and risk platforms that fit the desk
- Delivery led by practitioners, not slideware
Energy & Carbon Analytics
Trading, position, and risk analytics plus carbon
Trading, position, and risk analytics plus carbon data for power, gas, oil, and emissions desks.
Outcomes
- Position, P&L, and risk analytics desks can trust
- Carbon and emissions data integrated properly
- Analytics grounded in how the desks actually trade
ESG & Sustainability
ESG data foundations that satisfy disclosure
ESG data engineering and sustainability reporting foundations that satisfy emerging disclosure obligations.
Outcomes
- A defensible ESG data foundation
- Reporting aligned to disclosure obligations
- Sustainability metrics with traceable lineage
Serverless FinOps
Cloud spend that stays transparent and controllable
Serverless data-platform cost optimization and FinOps discipline that keep cloud spend transparent and controllable.
Outcomes
- Lower, more predictable cloud spend
- FinOps discipline embedded in the platform
- Cost transparency leadership can act on
Healthcare FHIR
Interoperability that preserves clinical integrity
FHIR and HL7 interoperability and privacy-aware healthcare analytics that preserve clinical integrity.
Outcomes
- FHIR and HL7 interoperability that works
- Privacy-aware analytics on clinical data
- Clinical integrity preserved end to end
What every engagement has in common
Six principles run through every engagement, whatever the service.
Ships, not slideware
The output of an engagement is working capability in production, not a deck that gathers dust. We favor delivery in slices that prove value early, working alongside your teams, so what we leave behind actually runs and keeps running after we are gone.
Practitioner-led
Engagements are led by people who have done the work, in trading and risk, governed data platforms, and AI under regulatory scrutiny. That means advice grounded in reality, delivery that anticipates the real failure modes, and credibility with your own experts.
Governance-first
Control and auditability are built in from the start, not retrofitted before a compliance review. In regulated industries, an outcome you cannot defend is a liability, so we engineer engagements so the result survives scrutiny.
Vendor-neutral
Recommendations follow the evidence and your constraints, not partner incentives. Where a product helps we will say so, including our own, but the engagement is accountable to your outcome, not to a licence sale.
Strategy to production
We work across the whole arc, from target-state strategy through architecture to hands-on delivery, rather than handing you a strategy and disappearing at the hard part. The value is in bridging the gap between the plan and the running system.
Capability that stays
We build capability inside your teams as we go, and can pair engagements with training so the knowledge stays after we leave. The goal is to make you more capable, not more dependent.
Consulting, products, and training that reinforce each other
Our consulting does not stand alone. It comes from the same practitioner-led firm that builds enterprise software and teaches these domains, and that integration is a real advantage for a buyer. When an engagement reveals a gap that a product can fill, we have proven software to build on rather than starting from scratch. When it reveals a capability gap in your team, we can pair delivery with training so the knowledge stays.
The three reinforce each other continuously. Consulting keeps the products honest by surfacing real-world gaps. The products give consulting a proven foundation. And training turns both into lasting capability inside client teams, so value compounds instead of walking out of the door when the engagement ends. You can engage us for consulting alone, but you are engaging a firm that understands the whole problem and can meet it from more than one direction.
See our enterprise software → Explore the Enterprise Academy →
Enterprise consulting, answered
What kind of organizations do you work with?
Enterprises in regulated, data-intensive sectors, especially energy and commodity trading and financial services, plus healthcare and other regulated industries. The common thread is that the work has to survive scrutiny from regulators, auditors, and boards, which is exactly what our governance-first, practitioner-led approach is built for.
What does ships, not slideware actually mean?
It means the deliverable is working capability in production, not a strategy document. We work alongside your teams and deliver in slices that prove value early, so that by the end of an engagement something real is running, and it keeps running after we leave rather than depending on us.
How are engagements led?
By practitioners who have done the work in the relevant domain, not by generalists reading from a playbook. That shows up in advice that anticipates real failure modes, delivery that fits how the domain actually operates, and credibility with your own subject-matter experts.
How do consulting, products, and training fit together?
They are three expressions of the same practitioner knowledge. Consulting reveals the real problems, the products encode proven solutions, and training builds lasting capability in your teams. An engagement can draw on all three, and we can pair delivery with training so the capability stays after we go.
Are you tied to particular technology vendors?
No. We are vendor-neutral: recommendations follow the evidence and your constraints, not partner incentives. Where one of our own products is the right fit we will say so transparently, but the engagement is accountable to your outcome, not to a licence sale.
How do engagements typically start?
With a scoping conversation about your context and the outcome you need. From there we usually shape a contained first slice that proves value against your own data and constraints before any broader commitment, so you see real, defensible progress early.
Can you work alongside our existing teams and partners?
Yes. We are used to working as part of a wider delivery effort, alongside your teams and other partners. Our aim is to strengthen your capability and fit into your environment, not to displace what already works.
Do you deliver internationally?
Yes. Our work reflects how these domains and regulations operate across regions, and we deliver for organizations internationally, adapting to local regulatory and data-residency requirements.
Scope an engagement
Tell us your context and the outcome you need, and we will shape the right next step, usually a contained first slice that proves value against your own data and constraints.