The studio behind the ATTESO Pattern — a production-grade infrastructure chain from reasoning to governance to shipped systems.
ATTESO is an AI development practice working across global technical delivery and AI governance. We design the relational structures beneath complex programmes — the infrastructure, the protocols, the decision surfaces — before anything is built on top.
The practice carries more than eighteen years of hands-on M365 architecture and enterprise delivery, with roots in the Microsoft partner ecosystem since 2008. That background spans energy and technology sectors, where long time-horizons and hard operational constraints shaped a preference for durable, governed systems over disposable pilots.
Our focus is the connective layer: linking AI systems to enterprise infrastructure through the Model Context Protocol — treating the agent layer, not the static process, as the primary unit of design.
The ATTESO Pattern is a repeatable, production-grade organisational infrastructure pattern developed at ATTESO. It turns a single conversational loop into a shipped, governed system by chaining three specialised layers.
Each stage carries a distinct responsibility. Claude holds the reasoning surface — where framing, relational analysis and structural decisions are made. MCP holds the connective tissue — the tool surface, context boundaries, and policy that make those decisions safe to execute against real infrastructure.
Lovable holds the shipping surface — turning a governed intent into a running system. The pattern is not a stack; it is a loop. Every shipped artefact returns as new context, refining the next turn of reasoning. Governance is not bolted on — it is the substrate.
Design against the Model Context Protocol as the interface between reasoning agents and enterprise systems — not against ad-hoc integrations.
Policy, identity and boundaries encoded at the connection layer, so every downstream action inherits them by construction.
Treat the agent — not the static workflow — as the primary unit of design. Processes become emergent, not authored.
Eighteen years of M365, identity and delivery grammar, applied to how AI systems should actually enter regulated estates.
Beginning of a long arc in Microsoft ecosystem architecture — identity, collaboration, productivity.
Extended tenure architecting and delivering M365 estates for complex organisations across sectors.
Cross-border programme leadership at the intersection of technology delivery, energy, and modern workplace.
An independent studio for MCP-native AI infrastructure, AI governance, and the ATTESO Pattern in production.
The through-line is the same across every engagement: infrastructure that positions itself under the wave, before the wave arrives.
MCP servers, tool surfaces, and the connection layer between agents and enterprise estates.
Policy, identity and boundaries encoded where actions happen — auditable by construction.
From conversational prototype to governed, shipped system using the ATTESO Pattern loop.
Open to conversations on MCP-native architecture, AI governance, and applied enterprise systems.