Meet our Sponsors and where they will be on the day
Helping organisations move beyond AI noise…
Monument AI is a Supporting Sponsor of “LifeIn AI 2026” and is an independent generative AI and enterprise architecture consultancy based in Plymouth. Check out the Monument AI stall in the event’s Market Place all day and also catch Sam Nixson’s keynote speech in the Keynote Area:
11:30 - 11:50: Beyond AI Noise: Clearer Thinking, Better Decisions, Stronger Control (Keynote area)
With Sam Nixson
In an era dominated by artificial intelligence hype and information overload, leaders face unprecedented 'AI noise' — a turbulent mix of fear of missing out (FOMO), vendor pressure, conflicting business priorities and rapid technological shifts. This 20-minute talk cuts through the noise to provide a strategic roadmap for moving beyond it toward clearer decisions, stronger control and evidence of value. It shifts the focus from chasing the latest AI trends to anchoring leadership in independent judgement, intentional decision-making and robust strategic control.
Target audience: Executives, team leaders, policy-makers and strategic thinkers who are experiencing the relentless pace of AI advancements and are looking for actionable frameworks to enhance operational stability and strategic foresight. However, this talk is also made easy to understand, so the general public and students will also get a lot out of it.
About Monument AI
Monument AI is an independent generative AI and enterprise architecture consultancy based in Plymouth, specialising in providing buyer-side architecture, vendor oversight, data sovereignty solutions and high-level board advisory services.
In short, we help businesses and other organisations move beyond AI noise toward clearer decisions, stronger control and faster evidence of value in business-critical environments.
AI is used as an enabler by subject matter experts within our firm. We reduce operational friction from duplicate systems, poor interfaces and weak data quality, using integrated capabilities in analysis, architecture, data discipline, automation and the creation of rapid proofs of concept so that leaders can see what works before committing at scale.
Our approach improves information quality, cuts avoidable cost and drag and strengthens executive confidence in data and AI-driven decisions.