Measurable outcomes
If we can't define the KPI, we shouldn't be spending your budget. Every engagement ends with a number we agreed at the start.
About
Engineering-first AI consultancy, led by a practitioner.
Alt Horizon exists because most AI advice sits too close to the hype cycle and too far from the infrastructure. We are built to close that gap.
Three principles we don't negotiate
Predictable costs
Token-based pricing is not a forecast. We model ranges, test assumptions, and surface the cost drivers that matter before implementation.
Data sovereignty
Cloud, self-hosted, or hybrid is an engineering decision dressed as a commercial one. We help you make it deliberately.
Matt Shore
Matt started as an IT apprentice, not in a lecture hall. That order matters. Every architecture decision he makes sits on a decade of hands-on systems work before it sits on a strategy slide.
He has led technical delivery as Technical Director at AAG Systems, worked across Fujitsu and the education sector, and most recently ran AI and HPC Solutions as Business Manager for Hewlett Packard Enterprise across UK, Ireland, Middle East, and Africa. There he built a practitioner community of 600+ members and enabled 1,000+ sellers to talk credibly about AI infrastructure.
Matt is dyslexic. He treats it as an operating advantage: pattern recognition across systems, holistic framing of complex trade-offs, and an instinctive preference for concrete constraints over abstract plans. Research supports the same: dyslexic cognition over-indexes on big-picture reasoning. In this work, that's the job.
"Good AI strategy is operational design with financial discipline. Most of what we do is stop teams buying the wrong thing for the right reason." — Matt Shore, founder
The gap we close
Two things are usually true on the day a client calls us.
First, there is a real business problem (cost pressure, manual workflow, customer service latency, regulated data that can't leave the premises) and someone has decided "AI" is the answer.
Second, nobody in the room has priced all three deployment options, modelled the ROI across them, or written down what "good" looks like in six months.
We close that gap. Not with a framework deck. With numbers, trade-offs, and a recommendation you can defend upwards.
How we work
- We model the economics before the tooling.
- We show our reasoning, not just our conclusions.
- If it doesn't pay for itself, we don't ship it.