About
About Alt Horizon
Making AI work for businesses. Our methodology, knowledge-sharing resources, and how we assist prospective clients.
About
Making AI work for businesses. Our methodology, knowledge-sharing resources, and how we assist prospective clients.
Alt Horizon helps businesses adopt AI with measurable outcomes, predictable costs, and data sovereignty where it matters. We don't assume cloud—we benchmark the industry, map your use case to the right solution, and justify every recommendation with cost and ROI.
Honest engagement around capability and governance. We ensure transparency on every decision. Our role is to help you pick the right solution for your ESG, ethical, moral, financial, and business goals. It's about taking your business strategy and making AI work for it—not the other way around.
A different way of thinking. Matt's career didn't start in a lecture hall. It started on the ground, as an IT apprentice with a technical brain and a drive to learn by doing. This hands-on, experimental approach has been the foundation of his entire career—deconstructing problems, understanding how systems truly work, and building solutions from the ground up.
As someone with dyslexia, Matt processes information differently. Research shows that dyslexic minds often excel at holistic, big-picture thinking and complex problem-solving. He sees this as a cognitive strength: visualising complex systems, spotting connections others might miss, and finding creative, out-of-the-box solutions. This is the mindset he brings to every challenge, especially in the complex world of AI.
From IT apprentice to AI & HPC Solutions Business Manager at Hewlett Packard Enterprise (UKIMEA), Matt has led go-to-market strategy, built communities of 600+ members, enabled over 1,000 sellers, and driven multi-million dollar campaigns. Before HPE, he was Technical Director at AAG Systems, transforming the business from break-fix to managed services, and held roles at Fujitsu and in education IT. His deep, hands-on background is the key to his strategic approach: he doesn't just talk about high-level AI strategy—he understands the infrastructure, data, and workflows required to make it successful. That means a partner who can bridge the gap between the big picture and the practical realities of implementation.
We've built resources to help you understand AI adoption before you engage. Use them to explore cost, products, governance, and decision frameworks.
Our consultancy follows our methodology: Assess → Prioritise → Model → Implement → Measure. We work with you through each phase to deliver measurable outcomes.
Workshop to understand your current state, constraints, and use-case longlist. We map pain points, data sensitivity, and risk appetite before recommending anything.
Score use cases by impact, effort, and risk. Quick wins vs strategic plays. A shortlist for cost and ROI modelling.
Volume estimates, solution options (cloud, self-hosted, hybrid), and cost benchmark. We only recommend solutions that pay for themselves.
Pilot or MVP, integration setup, security and governance, handover and training. Clear milestones and deliverables.
Define KPIs, baseline metrics, reporting cadence. Compare actual vs modelled. Document outcomes for proof of ROI.