For Construction & Built Environment

AI for environments where mistakes have consequences.

Connect safety, asset and project systems to AI agents — without creating uncontrolled risk. Governed MCP Connectors and WHS-aligned Policy Presets built for the built environment.

The Blockers We Hear

Construction teams know the value. The governance isn't there yet.

Construction and built environment operators have some of the richest operational data of any industry — and some of the highest consequences if AI acts on it incorrectly. The answer isn't to avoid AI. It's to govern it properly.

We want AI to surface safety incidents — but our security team won't approve uncontrolled agent access to HSE systems.
If an AI action touches safety data, I need to be able to explain exactly what happened to a regulator or insurer.
Our project, asset and access systems all have different APIs. There's no common governance layer.
We can't let AI write to safety records without human approval. WHS doesn't care about 'the AI did it'.

Typical Stack

We work with your existing systems

HSE & incident management systems
Asset management APIs
Project management platforms
Access control systems
Azure & M365
OutSystems / internal REST APIs

Experience

We know the built environment

Mirvac

One of Australia's leading integrated property groups — office, residential, retail and industrial.

ADCO Constructions

One of Australia's largest privately-owned construction companies — commercial, education, healthcare.

Seymour Whyte Constructions

Tier-2 civil infrastructure contractor (VINCI group) — major infrastructure projects nationally.

What ARK360 Delivers

Governed AI access — without touching the core systems.

Agents can query safety systems — safely.

Wrap HSE, incident, asset management and project systems as governed MCP Connectors. Agents surface and summarise information without direct, uncontrolled system access. Your safety team stays in control.

No AI writes to safety records without human sign-off.

WHS-aligned Policy Presets enforce hard limits on mutating safety data. Agents can propose, flag and surface — a human confirms any write to safety-critical records. Enforced by policy, not trust.

Audit trails your regulators and insurers will accept.

Every AI query against HSE data logged with full context, timestamp and policy applied. Produce audit-ready reports showing exactly what the AI did — and exactly what controls were in place.

One view across all your systems.

Single dashboard showing which agents called which systems, when, and which policies applied. IT and safety leadership get real visibility into AI behaviour — not just assurances that it's fine.

One system. One use case. That's where we start.

Most engagements begin with surfacing safety incidents, querying asset status, or assisting with project data. Pick one, govern it properly, and expand from there.

Talk to James