Procore's AI Features — What Construction Admin Teams Should Test First

What Procore's AI Suite Actually Includes

Procore's AI capabilities aren't a single product— they're four interconnected tools, each targeting a different type of admin task. Understanding how they fit together determines which one to start with.

Procore Helix is the unifying layer that makes the entire suite coherent. According to Procore³, Helix transforms static project data— daily logs, submittals, RFIs, and observations— into actionable intelligence via over 100 data connectors³. That's what allows Assist's conversational answers to draw from the same project data that Insights uses for risk prediction.

Procore's AI isn't one tool— it's four, at different stages of maturity, built for different parts of the admin workflow. Knowing which one to touch first is the strategic question. Most vendor content skips it. This one doesn't. And that's the point.

Tier 1: Start With Procore Assist

Procore Assist is the right place to start for one reason: it requires no configuration, no additional data setup, and no IT involvement. It's already in your subscription, and construction admin teams can see value on day one.

Assist works like a smart search layer across your project documents. Ask it a question— "What does the spec say about concrete mix design?" or "What was resolved on RFI-047?"— and it returns an answer with citations back to the source document. No more hunting through spec books. No more tracking down a PM to find out what was decided three weeks ago.

Per Procore's own benchmark⁴, Assist saves teams 30% of the time they'd otherwise spend searching for project details. That's Procore's claim, not a third-party audit— but the mechanism makes practical sense. Document search is real time loss for admin teams managing complex, fast-moving projects.

The RFI Creation Agent— part of Procore Assist— takes this a step further. As Procore describes it², the agent "generates RFI content and searches project documents for answers, reducing information retrieval from days to seconds." And every answer includes a source citation, so your team can verify the AI output before acting on it⁵. That's a quality safeguard built for teams who can't afford to act on bad data.

Two more things worth knowing: Assist works on mobile (useful for admin teams coordinating with field crews), and multilingual support covers Spanish and Polish⁶— practical for diverse workforces across job sites.

Your 30-Day Test Protocol for Procore Assist

Don't evaluate Assist in the abstract. Run these three tests:

1. Document search test: Ask Assist a question you'd normally spend 20+ minutes hunting through submittals to answer. Track the actual time you save.
2. RFI drafting test: Use the RFI Creation Agent on a live project. Compare output quality and speed against your manual process— not hypothetically, on a real open RFI.
3. Code reference test: Ask Assist a building code question mid-project. Check whether it returns accurate, cited answers, and whether your team actually trusts the result enough to act on it.

These tests tell you what no vendor demo will: whether Assist fits the way your team actually works.

Once Assist is part of your routine, the next question is whether your project data can support predictive risk analytics.

Tier 2: Test Procore Insights Once You Have Project Data

Procore Insights delivers risk predictions that admin teams can actually act on— but only if your project data is clean enough to analyze. That's why this is a Tier 2 test, not a starting point.

Insights applies machine learning to submittals, RFIs, and daily logs to surface the problems most admin teams discover too late⁷. It entered general availability in early 2025²— recent enough that most firms haven't had time to properly evaluate it. That's both a limitation and an early-adopter advantage.

Here's what to specifically test when you're ready:

• At-risk submittal identification: Know which submittals are trending toward lateness before they are late. Admin teams can intervene earlier instead of chasing approvals under deadline pressure.
• Upcoming RFI prediction: Insights surfaces patterns that suggest where the next RFI is likely to come from. Anticipating the question beats reacting to it.
• Budget overrun forecasting: Insights analyzes general conditions spending patterns to flag potential overruns before they hit the budget meeting⁸.

One thing Insights does that firms consistently underestimate: it benchmarks your project performance against Procore's aggregate dataset across all customers⁷. Even on your first project with the tool, you have industry context— not just your own firm's history. That's a meaningful advantage for teams without years of internal baseline data.

The data requirement caveat is real. New Procore users won't see the full value immediately— Insights performs better as your project data accumulates and becomes consistent. This is why Tier 1 comes first: building the data discipline that makes Tier 2 worth running. For a framework on whether the investment is paying off over time, measuring AI ROI on construction projects is worth reading before you set expectations.

If Assist reduces daily admin friction and Insights surfaces emerging risks, Agent Builder is where construction teams start building custom automation.

Tier 3: Build With Agent Builder When You're Ready

Procore's Agent Builder lets construction teams create custom AI agents that automate specific, repetitive workflows— no coding required. It's the most powerful tier. It's also the one that demands the most from your team before it delivers anything useful.

Agent Builder is currently in open beta— available to all Procore customers as of March 2025⁶. Open beta means you can start testing it today, but it also means the product is still evolving. Plan for iteration. Don't build a mission-critical workflow on it in month one.

Under the hood, Agent Builder runs on Amazon Bedrock large language models (Amazon's managed cloud AI infrastructure) via Procore's strategic collaboration with AWS⁹. That's enterprise-grade infrastructure. The interface, though, is built for admin teams: describe the workflow you want automated in natural language, and the agent handles execution. Understanding what an AI agent actually does before you dive in helps set realistic expectations about what you're building and why.

Admin workflows where custom agents make sense:

• Daily log compilation and distribution— aggregate field reports into a summary delivered automatically to the right people
• Submittal status digest— a regular pull of open submittals sorted by due date and responsible party, no manual assembly required
• Scheduling milestone alerts— connect submittal tracking to your project schedule so at-risk timelines get flagged early

Who isn't ready for Agent Builder? Firms still figuring out Assist. Teams with inconsistent data entry practices. Anyone without a project coordinator who can own the agent workflow and iterate on it. "Just because it's easy doesn't mean it's good— we have to find out how to make it good and easy." Agent Builder is exactly that situation.

The firms that get the most from Agent Builder started with Assist months ago. The sequence isn't arbitrary— it's the difference between a tool that works and one that doesn't.

What It Actually Takes to Get Value From Procore AI

The AI features work— but they're not plug-and-play for every team. Here's what needs to be true before each tier delivers on its promise.

Three requirements, in order of importance:

1. Data quality: Procore Insights and Agent Builder depend on consistent data entry. If RFIs and submittals aren't being logged reliably, predictions will be unreliable. This isn't a technology problem— it's a workflow discipline problem that no AI can solve for you.
2. Team adoption: Procore Assist requires habit change, not configuration. Designate one project coordinator to champion adoption in the first 30 days. Distributed responsibility usually means nobody owns it.
3. Subscription access: AI feature access may vary by Procore plan. Confirm with your account manager before building internal expectations.

The barrier to Procore AI isn't the technology. It's the habits around how project data gets entered.

Real-world AEC firms are already demonstrating what's achievable. According to BDC Network¹, Barge Design Solutions cut health and safety plan creation from 8–10 hours to 10–15 minutes using AI tools— illustrative of what AI integration into document-heavy workflows can produce for firms willing to do the setup work. The same BDC Network data¹ shows that 66% of AEC leaders believe AI will be essential across the board within 2–3 years. Being an early adopter now creates a head start, not a risk.

As adoption expands, AI governance for your firm becomes relevant: data policies and approval workflows should keep pace with capability adoption. And before committing to plan upgrades, reviewing the hidden costs of AI implementation prevents surprises.

If mapping Procore's AI features to your firm's specific workflows feels like more than you want to figure out alone, that's a fast problem for an AI implementation partner to solve.

Questions Construction Admin Teams Actually Ask About Procore AI

Q: What does Procore Assist do?

Procore Assist is Procore's conversational AI tool— it lets construction teams search specs, RFIs, submittals, and building codes in seconds without manually hunting through documents. It's available on desktop and mobile and has been globally available since November 2024².

Q: What is Procore Helix?

Procore Helix is the intelligence layer that connects Procore's AI features— Assist, Insights, and Agent Builder— into a unified system³. It transforms static construction project data (daily logs, submittals, RFIs, observations) into actionable signals using over 100 data connectors³.

Q: How does Procore's AI compare to Autodesk's?

Procore AI focuses on project delivery and administration— RFI automation, submittal risk prediction, budget forecasting. Autodesk AI focuses on design-construction coordination— BIM-integrated analysis, clash detection¹⁰. They serve different phases of the construction workflow. For construction admin teams, the comparison is simple: Procore AI optimizes project delivery and documentation management; Autodesk AI optimizes design-phase coordination. If your team's primary bottleneck is during delivery — not design — Procore is the relevant starting point.

The sequence matters. Procore Assist is where construction admin teams start. Procore Insights is where they go once project data is consistent. Agent Builder is where firms that have already built the habit go next. And the reason the sequence matters is that each tier builds on what came before it — skipping Assist to go straight to Agent Builder is how firms waste months on a tool that isn't ready to deliver.

The cost of testing is low. The value gap between firms using these features and those sitting on them is narrowing faster than most expect. Closing it is a workflow decision, not a procurement one.

Mapping Procore's AI features to your firm's specific workflows doesn't have to be a solo exercise. Dan Cumberland Labs works with AEC firms to identify which tools deliver value fastest— and which ones aren't worth the setup time yet.

FAQ

Do I need to pay extra or upgrade my Procore plan to access these AI features?

Access to Procore's AI features may vary depending on your current Procore subscription plan. The article recommends confirming AI feature access with your Procore account manager before building internal expectations or testing protocols around any of the three tiers.

Why can't my team just skip Procore Assist and start with Agent Builder?

Agent Builder depends on the data discipline and workflow habits that teams build while using Assist. Firms that skip Assist and go straight to Agent Builder end up working with a tool that isn't ready to deliver — the sequence exists because each tier builds on what came before it.

How much project data does my team need before Procore Insights is useful?

Insights performs better as project data accumulates and becomes consistent, which means new Procore users won't see full value immediately. The article recommends establishing reliable data entry habits through Tier 1 (Assist) first, since unreliable RFI and submittal logging will produce unreliable predictions.

Is Procore Agent Builder stable enough to use for critical workflows right now?

Agent Builder is currently in open beta as of March 2025, which means the product is still evolving. The article explicitly advises against building mission-critical workflows on it in the first month and recommends planning for iteration.

References

1. BDC Network, "AI in AEC: Where Firms Should Start and How to Scale Adoption" (2024) — https://www.bdcnetwork.com/aec-tech/article/55359703/ai-in-aec-where-firms-should-start-and-how-to-scale-adoption
2. Procore Technologies, "Procore Launches Procore AI with New Agents to Boost Construction Management Efficiency" (2024) — https://www.procore.com/press/procore-launches-procore-ai-with-new-agents-to-boost-construction-management-efficiency
3. Procore Technologies, "Procore Helix Intelligence" (2025) — https://www.procore.com/helix-intelligence
4. Procore Technologies, "Procore Assist" (2024–2025) — https://www.procore.com/assist
5. SiliconANGLE, "Procore to Add AI Agents to Construction Management Software Platform" (2024) — https://siliconangle.com/2024/11/20/procore-add-ai-agents-construction-management-software-platform/
6. Procore Technologies, "Procore Advances the Future of Construction with New AI Innovations" (2025) — https://www.procore.com/press/procore-advances-the-future-of-construction-with-new-ai-innovations
7. Procore Technologies, "Procore Insights" (2024–2025) — https://www.procore.com/insights
8. Procore Technologies, "Procore Insights Product Documentation" (2024) — https://support.procore.com/products/online/insights
9. Procore Technologies, "Procore and AWS Announce Strategic Collaboration Agreement to Accelerate AI" (2025) — https://www.procore.com/press/procore-and-aws-announce-strategic-collaboration-agreement-to-accelerate-ai
10. Business Software, "Vendor Comparison: Procore vs. Autodesk vs. CMIC AI Construction Solutions" (2024) — https://www.business-software.com/blog/vendor-comparison-procore-vs-autodesk-vs-cmic-ai-construction-solutions