Grounded in Architectural Rigour.
Enterprise-Grade AI for Regulated Environments.
Most organisations today face the same challenge: they know they should use AI, but they’re unclear on what to build or how to get it to production safely.
LevelUp360 exists to close that gap. Not with strategy decks. With production-grade architecture, clear ownership, and defined outcomes.
Who We Are: LevelUp360 is a specialist Cloud and AI practice for regulated environments. We help organisations decide what to build with AI, design the architecture that survives production, and stay embedded until it’s proven.
We saw a gap in the market that most organisations in regulated sectors experience firsthand. The Big 4 bring governance but move slowly and carry overhead. Independent contractors bring agility but often lack the enterprise governance experience that regulated environments demand.
Organisations in regulated environments need a third option: Tier 1 architectural rigour delivered with the speed and transparency of a specialist firm. That’s what we built.
We work across financial services, healthcare, legal, professional services, and public sector. If your environment has regulators, auditors, and compliance requirements that your AI architecture needs to survive, we’re built for that.
Technical Leadership
LevelUp360 is led by Principal Architect Manuel Tomas Estarlich, a Cloud and AI architect with over 20 years of experience across financial services, public sector, travel, renewable energy, manufacturing, and IT services.
The pattern behind most of that work was the same. The ambition was there but the architecture wasn’t. Vendor designs that wouldn’t survive production. Internal teams without the technical depth to challenge what was being proposed. Security and compliance treated as a gate to pass at the end instead of a foundation to build on from the start. And nobody owning the outcome end to end.
Manuel spent seven years architecting secure platforms in financial services under direct regulatory scrutiny. The remaining career spans public sector digital transformation, large-scale cloud platform delivery, and enterprise architecture across complex, multi-stakeholder environments.
The approach is hands-on and outcome-based. No gap between design and delivery. Defined deliverables, clear ownership transfer, and architecture that can be defended after an incident, not just before one.
LevelUp360 partners with Greg Heaslip, PhD, an AI Training Specialist, Business Transformation Advisor, and Adjunct Teaching Fellow at Trinity College Dublin, for engagements where organisational readiness is the first constraint.
Greg brings over 30 years of operating experience across manufacturing, technology, services, and e-commerce, combined with doctoral research in systems thinking and failure analysis. He designs and delivers applied AI capability programmes for leadership teams and functional managers, focused on practical adoption, governance awareness, and responsible use.
Before organisations can build production-grade AI systems, they need shared understanding, informed leadership, and teams equipped to engage critically with what AI can and cannot do. That is the work Greg leads. When the organisation is ready to move from capability to production, the engagement transitions into architecture, delivery, and oversight.
AI Readiness & Capability
How We Work
We sit between ambition and production. We don’t write decks that gather dust, and we don’t build systems you can’t maintain. We help you decide what to build, then design architectures your teams can deliver and defend.
Every engagement follows the same principles:
Clarity before capability. We start by narrowing the problem. What should you build, what should you not build, and in what order. Without this, everything downstream is guesswork.
Constraints first. Security, compliance, operating model, failure modes. Addressed up front, not retrofitted. This compresses timelines rather than extending them.
Governance built into systems. Controls are implemented in workflows: access boundaries, logging, approvals, traceability. Not in policy documents and meetings.
Ownership that holds. Named accountability for problem framing, go-live risk acceptance, and outcome monitoring. The people who carry the consequence are in the room when the decision is made.
Embedded through delivery. We stay close to the work until the architecture is proven under real conditions, then hand over with full ownership transfer.
What We Don't Do
❌ We don’t do “Black Box” AI: Every decision is logged, every approval tracked. Because accountability requires it, and GDPR Article 30 expects it.
❌ We don’t sell tools: We solve problems. We select the right technology for your context. If it doesn’t fit, we tell you.
❌ We don’t do “AI will replace X” hype: We design systems where AI handles the work, but humans retain control where it matters. Regulation requires it (GDPR Article 22, EU AI Act Article 14). Good architecture demands it.
What We Do
✅ We design auditable systems: Every AI decision logged. Every approval tracked with identity attribution. Because regulators ask “who approved this?” and “the AI did it” isn’t an answer.
✅ We enforce human oversight where regulation requires it: GDPR Article 22, EU AI Act Article 14, NIS2. We design the architecture that keeps you compliant.
✅ We design for production, not demos: Private networking, zero-trust architecture, governance controls from day one. Bank-grade security, because your customers’ data deserves it.
✅ We transfer ownership: Documentation, runbooks, clear handover. You own the system. We don’t create dependency.