From Black Box to Glass Box: Introducing Verifiable AI Extraction in Core Runway

One of the biggest barriers to adopting AI in compliance workflows isn’t capability — it’s trust.

Construction teams, environmental consultants, and compliance officers aren’t just asking:“Can AI extract the data?”

They’re asking:“Can I prove it’s right?”

Today, we’re introducing a major step forward.

🔍 Verifiable AI Extraction — Now Live in Core Runway

Core Runway now automatically marks up source PDFs after data extraction, showing:

• Exactly where each data point came from

• Which field in your report it populated

• A clear, visual link between source → extraction → output

This turns AI from a black box into a fully auditable system.

🧠 How It Works

1. Upload your documentsWaste dockets, invoices, material submittals, VOC certificates — any standard compliance input.

2. Gemini AI extracts structured dataOur pipeline reads and interprets the document, identifying relevant fields (weights, material types, certifications, etc.).

3. Automatic PDF markupCore Runway highlights the exact regions of the document used for each extracted value.

4. Field-level traceabilityEach highlighted section is tied directly to a specific field in your LEED, CALGreen, or internal report.

5. Human-in-the-loop approvalYour team reviews, verifies, and approves — in seconds, not hours.

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⚡ Why This Matters

1. Instant Auditability

No more hunting through PDFs to verify entries.

Every number in your report is now traceable back to its source in one click.

2. Faster Human Review

Instead of re-reading entire documents, reviewers can focus only on:

• Highlighted sections

• Extracted values

• Exceptions

This reduces review time by 90%+ per document.

3. Increased Confidence in AI

AI adoption often stalls because teams don’t trust automated outputs.

By showing exactly how each value was derived, Core Runway enables:

• Confident approvals

• Reduced rework

• Clear accountability

4. Built for Compliance (Not Just Automation)

This isn’t generic document AI.

It’s purpose-built for:

• LEED reporting

• CALGreen compliance

• Environmental and materials tracking

Where accuracy and auditability aren’t optional — they’re required.

🏗️ Real-World Example

A waste hauler uploads 150+ haul tickets for a project.

Instead of manually entering:

• Material types

• Diversion weights

• Facility destinations

Core Runway:

• Extracts all values automatically

• Highlights each value directly on the ticket

• Populates the LEED waste report

The reviewer:

• Clicks through highlighted fields

• Confirms accuracy

• Approves

What used to take hours now takes minutes.

🔐 From AI Automation to AI Accountability

There’s a reason many AI pilots fail to deliver ROI:they stop at automation.

Core Runway goes further.

We combine:

• AI extraction

• Visual traceability

• Human verification

This creates a system that is not just faster — but defensible.

🚀 What This Unlocks

• Scalable compliance across hundreds of projects

• Reduced reliance on manual data entry

• Faster submissions with higher confidence

• A clear audit trail for owners, regulators, and certifying bodies

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Final Thought

AI shouldn’t replace human judgment — it should amplify it.

By making every extracted value transparent and verifiable,Core Runway ensures your team stays in control — while moving 10x faster.