Agent-Native Blueprint
Make your organisation agent-native
Your people are already using AI agents to get ahead, one by one. We take that across the whole organisation: shared context, secure access, the governance to let every agent do real work, and your people able to run it.
Trusted by teams putting AI into production
Personal productivity gains stay personal
Your people are already reaching for AI agents on their own, and getting faster at their own work. But the context lives in their heads, access to systems is improvised, and nothing they learn compounds for the team. The gain stays capped at one person at a time, and the risk of ungoverned, shadow use grows alongside it.
Three things have to work together
Not a clever prompt here and a private workaround there, but context, access, and guardrails for everyone.
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The tools your people will actually use
We choose and roll out the right assistants, whether that's Claude, Copilot, or ChatGPT, and drive real adoption. Set up for the whole organisation, not one team at a time.
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Your context and controls, built in
Every agent works from the same understanding of how your organisation runs. One shared definition of good, with the controls that keep it safe.
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A catalogue of connectors to your systems
A governed catalogue of connectors to the systems your business runs on, discoverable and secure. Your people get an assistant that can act, not one that can only talk.
Good governance is what lets you give agents more autonomy
We run the Blueprint inside ElementX, and it changed how the whole team works. Once our agents shared the same context and had secure, governed access to our systems, we could give them far more autonomy without lying awake about what might go wrong.
The governance is what makes that autonomy safe; the autonomy is where the productivity comes from. It's the same discipline we've kept in production in regulated environments for over a decade, from the University of Auckland to Mott MacDonald's global workforce.
Built to hand over, so your team owns it
We bring the discipline of keeping AI in production to your governance, your context, and your security model, then transfer the capability so your team runs the practice once we step back. We've done it across education, insurance, infrastructure, finance, retail, healthcare, and government.
- Education
- Insurance
- Infrastructure
- Finance
- Retail
- Healthcare
- Government