Core Runway Launches Verifiable AI Extraction with Automated PDF Markup for Audit-Ready Compliance

FOR IMMEDIATE RELEASE

New feature transforms AI from a black box into a fully transparent, auditable system for construction and environmental reporting

San Francisco, CA — April 2, 2026 — Core Runway, an AI-driven compliance automation platform for construction and environmental services, today announced the release of its Verifiable AI Extraction feature — a major advancement in making AI-generated data fully transparent and audit-ready.

The new capability automatically marks up source PDFs after AI extraction, showing exactly where each data point originated and how it maps to compliance reports such as LEED and CALGreen.

“AI adoption in compliance has been held back by one issue: trust,” said John Burton, Co-Founder of Core Runway. “Teams don’t just need automation — they need proof. This feature gives them complete visibility into how every number was generated.”

Turning AI Into a Transparent System

Using Gemini AI, Core Runway extracts structured data from documents such as waste dockets, invoices, material submittals, and VOC certificates. With this release, the platform now:

• Highlights the exact location in the source PDF for each extracted value

• Maps each highlight to a specific report field

• Provides field-level traceability from document to final output

• Enables rapid human-in-the-loop validation and approval

This transforms the review process from manual verification to targeted validation, dramatically reducing time and effort.

Built for High-Stakes Compliance Workflows

Unlike generic document AI tools, Core Runway is purpose-built for regulated environments where accuracy and auditability are critical.

The feature is particularly impactful for:

• LEED waste and materials reporting

• CALGreen compliance workflows

• Environmental and ESG documentation

By making every extracted value traceable, teams can confidently submit reports knowing they are backed by a clear audit trail.

Measurable Impact

Early users report:

• 90%+ reduction in document review time

• Significant decreases in manual data entry

• Faster project submissions with fewer errors

• Improved confidence across project teams and stakeholders

Real-World Application

On a typical construction project, teams may process hundreds of waste haul tickets. Traditionally, this requires manual data entry and time-consuming verification.

With Core Runway:

• Data is automatically extracted from each ticket

• Source values are visually highlighted in the original document

• Reports are generated instantly

• Reviewers validate accuracy in minutes, not hours

From Automation to Accountability

Core Runway’s Verifiable AI Extraction represents a shift from simple automation to AI accountability — ensuring that every output is explainable, defensible, and ready for audit.

“AI shouldn’t replace human oversight — it should make it faster and more precise,” added Burton. “By showing exactly where every data point comes from, we’re giving teams the confidence to fully embrace AI in compliance workflows.”

About Core Runway

Core Runway is an AI-powered platform that automates compliance reporting for construction and environmental services. The platform ingests project documentation, extracts key data, and generates audit-ready reports for standards such as LEED and CALGreen — reducing manual effort, improving accuracy, and accelerating project timelines.

For more information, visit www.corerunway.com or contact info@corerunway.com.