Construction & Built Environment

AI for environments where mistakes have consequences.

Connect safety, asset and project systems to AI agents — without creating uncontrolled risk.

Talk to James See the HSE use case

What's Blocking You

The use case isn't the problem. The risk of getting it wrong is.

The answer isn't to avoid AI — it's to govern it so the risk is verifiable and the audit trail is airtight.

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.

HSE, incident and asset management systems wrapped as governed MCP Connectors — agents surface information without direct, uncontrolled system access.

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

WHS-aligned Policy Presets enforce hard limits on mutating safety data — agents propose and flag, humans confirm. 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 — audit-ready reports on demand.

One view across all your systems.

Single dashboard showing which agents called which systems, when, and which policies applied — real visibility, not assurances.

Also relevant

The HSE scenario played out in full

AI surfacing safety incidents — governed MCP, WHS-aligned Policy Presets, audit trail the regulator can inspect.

Read the use case

Connecting AI to systems that can't fail

Wrapping mission-critical APIs as governed MCP Connectors — without touching the core system.

Read the playbook

One system. Governed properly. Then expand.

Start with one use case — safety incidents, asset status, project data. Govern it end-to-end, then scale.

Talk to James