AI that works as one organisation, not as a set of silos.
Every team now buys, builds and prompts its own AI. Left alone, each one becomes a silo, and silos speed up: more tools, more agents, more rules, and nobody sharing context. An AI organisational architecture is the design that keeps them in step.
Each team makes sensible choices. Together they do not add up.
Marketing adopts one set of tools, finance another, engineering a third. Each team moves fast and makes its own rules, picks its own models and keeps its own records. The next agent is easier to build in a new silo than to connect to the last one, so the gap widens with every project.
of deployed agents run in silos
Salesforce/MuleSoft, 2026, vendor surveyFour things silos make worse.
The same prompt, agent or integration is built again in each team, and the same capability is bought more than once.
Each silo decides what data may go where and which model to use. The policy depends on where you look.
Nobody can say which tools, accounts, agents and data flows exist, so nobody can answer the board.
Agents multiply faster than the people accountable for them, and changes to a model reach a silo without anyone being asked.
Five layers, designed together.
The point is not another tool. It is a design for how AI is decided, shared, controlled, proved and put to work across the whole organisation, so each new use of AI plugs into the same structure.
What the architecture holds to.
Rules, identity, data protection and metering apply once, in front of every model, so teams can choose without breaking the policy.
What works in one team is attributed and reusable by the others, so nobody rebuilds it.
Every agent and workflow has a person accountable, and a way to stop it.
Reports and audit packs are generated from what happened, not assembled by hand afterwards.
Begin with the layer that is weakest in your business and add the others when you are ready. Nothing has to be rebuilt to start.
Deployed in your own cloud account and vendor-neutral across the AI labs your people already use.
Advice first, then the products, then the people to run it.
An AI health check, first findings in 48 hours and a written plan in ten working days. For a deeper design, an AI Strategy and Planning engagement with your board over four weeks.
Analyse, Guard and Evidence build the Connect, Control and Prove layers in your own cloud. Automate and Grow put AI to work inside them.
See the five products Run it with youWhere you want an organisation of agents running work for you, our Incubator builds and oversees it inside the same architecture.
See the IncubatorSee how your AI fits together. Then decide.
First findings within 48 hours of the health check · Audit fee credited against year one