What we automate
We build AI for construction systems that integrate with the operational reality of Australian construction businesses. Common workflows we automate end-to-end:
- Programme variance tracking against baseline schedule
- RFI ingestion, classification, and routing to the right discipline
- Defect lifecycle tracking from punch list to close-out
- Submittal and shop drawing review automation
- Subcontractor insurance, licence, and induction compliance
- Variation request workflow with cost impact tracking
- Daily diary aggregation and weather-day claim support
Built for the realities of construction
Multi-stakeholder collaboration across owner, head contractor, designers, and subcontractors requires permissioned access and audit trails.
Documents in PDF, DWG, and IFC need to be parseable and queryable, not just stored.
Field workers need mobile, offline-capable interfaces, not desktop-first dashboards.
Liquidated damages exposure makes accurate programme reporting commercially critical.
Why work with us on AI for construction
AI for construction work that aligns with how Australian builders actually run projects, with familiarity in NCC compliance, AS standards, and the construction commercial structures common in AU contracts.
Where most AI in construction goes wrong
Most construction AI engagements in Australia get framed as "AI for documents" or "AI for drawings" without integrating into the actual project workflow that runs across estimating, project management, contracts, and site operations. The fragmented patterns: AI deployed against tender documents without surfacing the analysis in the estimating workflow; "AI for site reports" that produces summaries but doesn't connect to the variation and EOT (extension of time) process; AI agents for progress claims that don't integrate with the head contract administration; project-management AI that ignores the subcontractor coordination layer; and AI deployed by head office that doesn't reach the site teams who would actually use it. Construction has long project cycles, thin margins, and zero tolerance for documentation errors that surface in disputes.
Systems we integrate against
Construction AI engagements typically integrate against Procore, Aconex, InEight, CHEOPS, Buildxact, Sycle, Jobpac, Cubit, Buildsoft, Rate One, MYOB and Xero for accounting integration, Microsoft Project and Primavera P6 for scheduling, Bluebeam Revu for drawings, BIM360/Construction Cloud for models, and the various subcontractor coordination tools. Most AU mid-market builders and head contractors run several of these alongside email-driven workflows for variations, RFIs, and progress claims. Integration is the value: AI that connects these systems is meaningfully more valuable than AI deployed against any single one.
If your stack isn't listed above, reach out anyway. The systems vary by industry but the integration patterns don't. We can usually work with whatever you're running. Tell us your stack.
Regulatory and compliance landscape
Construction in AU operates under state-based work health and safety legislation, with PCBU obligations that flow through the head contractor structure, Building Code obligations through the Australian Building and Construction Commission, contract law including the security-of-payment regime in each state, fair trading obligations on consumer-facing residential work, and Australian Consumer Law on warranties. ATO compliance for subcontractor PAYG reporting via Taxable Payments Annual Report. Modern Slavery Act for supply chain. Privacy Act applies to workforce and customer data. We design AI workflows to respect the documentation obligations that surface in construction disputes.
Operational outcomes we move
Defensible outcomes we have moved on construction engagements: tender analysis and bid-prep cycle time compressed; variation and RFI response time reduced through structured retrieval over the project document set; progress-claim preparation time reduced while preserving the head-contract administration trail; subcontractor compliance and onboarding cycle compressed; safety observation triage handled at higher volume per safety lead; project-status reporting prepared from operational systems rather than retyped into PowerPoint. The metric is project margin retained through faster, more documented decisions.
Common deployment patterns
Common deployment patterns for AU construction: agent-assisted tender analysis grounded in your firm's bid library and past project margins; variation and RFI drafting agents that produce a structured response from the underlying contract clauses and site facts; progress-claim agents that aggregate site progress, subcontractor claims, and head contract context; project-status reporting workflows that produce client-facing reports from the existing project management toolchain; subcontractor compliance agents that pre-screen new subbies against the firm's prequalification requirements.
Related Bedstone services
Construction teams typically pair this work with project management and field operations software, document and tender drafting agents, and progress claims and reconciliation systems. Or look at Bedstone OS for an internal AI workspace that pulls from your project tools, drawings, and contracts.
How we engage
Five-step delivery, scoped to fit. Audit, scope sprint, proof of concept, verification, rollout. Wrapped as a fixed-scope sprint, monthly retainer, fractional engagement, or one-off audit. See services for the full process and commercial structures.
Common questions about AI for construction
How is AI for construction different from generic project management software?
Generic PM tools manage tasks. AI for construction reads across drawings, contracts, programmes, and field reports to surface what actually matters: schedule risk, scope drift, subcontractor non-compliance, and emerging variation claims. It augments your project controls team rather than replacing them.
Can you integrate with Procore, Aconex, Asite, or Autodesk Construction Cloud?
Yes. We integrate against the APIs of the major construction platforms. For platforms with weaker APIs, we work with exports or middleware. Integration approach is scoped in the audit phase.
Do you handle BIM/IFC model data?
Yes. We have worked with IFC and Revit data for clash detection automation, quantity take-off support, and submittal-to-model linking. BIM data parsing is part of our standard toolkit.
Is construction AI work eligible for the R&D Tax Incentive?
Most novel integration and agentic AI work on construction workflows qualifies. We document sprints to a standard your tax specialist can file with confidence.
Across Australia
We work with construction operators across the country. See city-specific context: AI agency Australia, Brisbane, Sydney, Melbourne, Perth.