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Interviews and a short workshop to understand goals, pain points and constraints.
Independent, hands-on AI strategy consultants for UK and US businesses. We help you pick the AI use cases worth funding, check the data behind them and leave you with a plan your team can deliver.
AI strategy consulting helps a business decide where artificial intelligence will create real value, in what order to build it, and what it needs to get there. ML Data House reviews your goals, processes and data, scores candidate use cases on value and feasibility, and delivers a prioritised AI roadmap with a first project that can go live in about three months.
Workshops with your leaders and teams to surface where AI can save time, cut cost or grow revenue.
Each idea is scored on expected impact, data availability, effort and risk, so priorities are clear.
We look at the data, tools and integrations each use case depends on and flag what must change.
Practical advice on when an off-the-shelf AI tool is enough and when a custom model or agent is worth it.
Privacy, security and responsible-AI questions raised early, not after something is built.
A phased plan with owners and milestones, starting with one use case delivered through our 3-month framework.
Short, visible steps with a demo or decision at the end of each one.
Interviews and a short workshop to understand goals, pain points and constraints.
Review data, systems and skills; build a long list of AI opportunities.
Score and rank use cases; agree the first one with clear success measures.
Deliver the roadmap, first-project scope and a decision-ready summary for leadership.
One remote team, planned around the rules and working patterns of each market.
We work from our UK office in Wolverhampton with clients across England, Scotland, Wales and Northern Ireland, remotely. Projects are planned around UK GDPR and the Data Protection Act 2018, ICO guidance on AI and data protection, and, if you sell into Europe, the EU AI Act.
UK clients often ask us to include UK GDPR lawful-basis and DPIA questions in the strategy so they are settled before any build.
We work remotely with US companies from coast to coast, and UK working hours overlap with the US East Coast morning for live calls and demos. We plan around the NIST AI Risk Management Framework, state privacy laws such as the CCPA/CPRA, and sector rules like HIPAA where they apply.
US clients often want the roadmap mapped to the NIST AI RMF functions (Govern, Map, Measure, Manage) for internal sign-off.
An AI strategy consultant works out where AI can help your business, which ideas are worth building first, and what data, skills and budget each one needs. The result is a prioritised plan rather than a list of tools.
Most strategy work takes two to six weeks depending on the number of teams and use cases involved. It ends with a roadmap and a first project that can start straight away.
No. Assessing data readiness is part of the strategy. We tell you which use cases your current data supports and what would need fixing for the others.
No. Small and mid-sized businesses often benefit most because a clear plan stops money going into tools that are not used. We scale the work to your size.
Whichever is simplest and works. Many needs are met by existing AI products; we recommend custom models or agents only where they give a clear advantage.
Yes. We have a UK office and work remotely with businesses across the UK, the US and worldwide, with call times that suit both sides of the Atlantic.
You can deliver it yourselves or with us. Our 3-month enterprise AI framework takes the first use case from design to a production-ready system.
Tell us about your goals, data and systems. We will reply with practical next steps, wherever you are in the UK, the US or worldwide.