The Massive Opportunity: Reclaiming Our Time

For the last decade, construction productivity growth has languished at a mere 0.3%. But a recent EY Report projects that construction is the industry set to benefit the most from AI adoption, driving an economic boost of 2.6% to 3.2% in GDP and generating up to 44,000 new full-time roles by 2036. The goal of Procore AI isn't to replace workers; it's to eliminate administrative friction so teams can spend less time on paperwork and more time building.

At Procore, we have contextualised this opportunity around defeating the three most painful profit drains in construction:

  • Expertise Waste: Your most highly paid Project Managers and Superintendents wasting hours searching for information across disjointed folders and systems.

  • Performance Drift: Failing to catch site execution deviations and drawing clashes before they impact the schedule.

  • Profitability Loss: The administrative "tax" on our time, driven heavily by manual paperwork and rework, which drains an average of 28% of project team time.

The Blueprint: Procore's 3-Tier AI Strategy

During the session, we walked through the framework Procore is building to support businesses at every stage of digital maturity:

  • AI Foundation: Tools embedded directly into your daily Procore workflows to increase search power and basic daily functions.

  • Digital Co-workers Starter Pack: 5 out-of-the-box, construction-specific agents designed to automate administrative tasks, even while you’re on site. .

  • Data Grid: An enterprise-wide orchestration engine that securely connects Procore to external software (such as your ERP or financial system of record), managing data and workflows across your entire company.

Live in Action: Demystifying "Agentic" Workflows

Taking a look at the Starter Pack agents, here are some examples of how Procore AI agents can perform tasks that used to take hours:

  • The Site Diary Agent: a sudden thunderstorm delay can instantly be transcribed and mapped into verified, structured weather and delay logs, ready for approval.

  • The RFI Agent: Recognising a beam clash, the agent can instantly draft a complete RFI, assign the RFI Manager and check the historical register.

  • The Contract/Tender Leveling Agent: Unstructured subcontractor bids can be organised into different pricing structures in a clean, side-by-side comparison table to flag anomalies in real time.

The underlying philosophy? Human-in-the-loop. Procore AI completes the heavy drafting, but a person always reviews, edits and clicks the final orange button to approve the record.

Real-World Impact: Global Customer Success Stories

So how are early adopters finding success on the ground?

1. Haskell: Site-Ready Trust

This premier design-build firm placed QR codes directly onto site drawings. Field trade partners can scan the code and send a text message query to a Data Grid agent, which replies within a minute with the exact drawing spec. Additionally, their use of the Submittal Review Agent is saving 1 hour of manual review per submittal.

2. Barnards: Streamlining Onboarding

Confronted with highly customised legacy systems that took up to three months to onboard new hires, Barnards standardised their data in Procore. Today, they are using Procore AI to automate accounts payable by pulling sub-billings packages from Viewpoint Vista and Ignite, cutting 60-70% of AP administrative work, the equivalent of freeing up 2 to 3 full-time employees for higher-value tasks.

3. SJ Hamill: Bridging the Generational Knowledge Gap

In high-risk marine civil environments, senior expertise is everything. To prevent decades of critical safety and operational wisdom from retiring alongside senior Superintendents, SJ Hamill is using Procore AI to turn years of historical logs and site records into a searchable field database. Now, a young Engineer on site can simply type, "What is the rule in this situation?" and receive a secure, grounded answer.

4. Henny: The Lifecycle Trial

Based in Melbourne, high-end residential builder Henny is taking a highly strategic, phased approach as they begin their Procore AI implementation. Having just started their rollout, they plan to deploy the Starter Pack across three projects at completely different lifecycle stages: one at project start/procurement, one topping out structure/fit-out, and one at closeout/commissioning. This will allow them to baseline their credit consumption, test prompts in different languages and compare RFI and daily log same-day closure metrics to prove clear ROI.

Built on Trust: Security and Verification

AI models (like standard ChatGPT or Claude) aren't built for construction. General models don't understand how your specs, drawings and submittals relate to each other, and they risk leaking data.

Procore AI is designed with enterprise-grade security at its core:

  • Localised Data: Your project data stays inside your Procore instance and is never used to train third-party models.

  • Strict Permissions: The AI mirrors your existing project-by-project user permissions. A user can never query or view financial data they don't already have admin access to see.

  • Verifiable, Not Blind: Every answer generated by Procore AI includes direct citations and links back to the source documents in Procore, so you can always double-check the facts, rather than taking the output on faith.

What's Next?

Whether you are looking to kickstart your journey with the Starter Pack or orchestrate custom workflows across your entire enterprise, one platform for the future of construction is here. 

Ready to see Procore AI working on your own projects? Book a demo with the team today.

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