How Northline Project Controls Transformed Pay App QA with AI-Powered Accuracy
November 26, 2025Markdown Team
Northline Project Controls
Northline Project Controls, a national project controls partner, supports owners and GCs across commercial and institutional work — driving smarter, faster, and more transparent pay app and closeout operations that deliver measurable value for contractors and owners.
The Challenge
Pay app QA is one of the most detail-intensive workflows in construction finance. Coordinators receive packets in inconsistent formats, portfolio surges create sudden review volume, and manual QA processes struggle to scale without adding headcount.
Northline set out to build a more accurate, scalable, and transparent QA operation — powered by AI, without expanding the team linearly with every new client or project surge.
The Solution: Partnering with Markdown
After evaluating multiple vendors, Northline selected Markdown for its combination of AI engineering depth and construction domain expertise. Together, the teams encoded Northline's QA checklist as Agentic Operating Procedures — natural-language instructions that guide AI agents through each step of pay app review.
The workflow launched for a single client, validated against Northline's existing quality standards, then scaled across additional programs as confidence in accuracy and auditability grew.
At Northline, AI is not just a tool — it is a strategic enabler… creating a process that is faster, smarter, and more consistent across every project.
— Walt Leddy, CEO, Northline Project Controls
Results
Within the first production cycle, Northline achieved immediate, measurable performance gains*:
- 30% reduction in QA cycle time
- 2× the errors identified compared to manual review alone
- Near-perfect audit accuracy of 98%
- Fully auditable and transparent QA process
We have always believed that innovation has to enhance accuracy, not compromise it…
— Amanda Lofvers, EVP, Northline Project Controls
What's Next
Northline is expanding automation across additional QA workflows and moving upstream into bid and submittal intake — applying the same agentic approach to the earliest stages of the project admin value chain.
The goal is a next-generation project controls operation where AI handles structured review work at scale, and experienced coordinators focus on the complex judgments that require human expertise.
This is just the beginning. We are building a next-generation project controls operation…
— Walt Leddy, CEO, Northline Project Controls
* Results are based on internal analyses conducted under approved contract and billing guidelines. Actual performance may vary. The AI QA workflow enhances quality assurance accuracy and efficiency but does not make contract or payment determinations.