This is a large, diversified general contractor with operations spanning civil infrastructure, heavy industrial, and commercial building markets across North America, and a growing solar and renewable energy division delivering utility-scale solar builds. Projects in this segment must meet Inflation Reduction Act (IRA) prevailing-wage and apprenticeship requirements to qualify for the enhanced clean-energy tax credit, an obligation that covers the company's own crews as well as every subcontractor on a project.
As the company took on more IRA-qualifying solar work, keeping every worker record across every entity in compliance became a growing operational burden, one that had previously been handled through an outside consulting firm and a costly SaaS vendor, neither of which fully solved the problem. The company turned to RapidCanvas to build a system that could parse the compliance rules directly and check real payroll records against them.
The Challenge
What IRA compliance requires:
Prevailing wage. Every worker must be paid at least the locally determined prevailing wage plus fringe for their job classification. Underpayment triggers back wages owed to workers plus per-worker penalties.
Apprenticeship rules. A minimum share of total labor hours (15% for projects starting after 2023) must be worked by qualified apprentices, and apprentices on site cannot exceed the allowed journeyworker-to-apprentice ratio. Both the labor-hours floor and the ratio cap have to hold across the whole project.
Fragmented source data. The evidence lives in separate systems like certified payroll, shift schedules, pay stubs, and subcontractor documents that have to be cross-checked to prove any of it.
The problem. As the company's solar portfolio grew, so did the scale of what compliance required: every worker, on every entity, on every project, reconciled by hand against shift schedules and standards documents. This kind of manual, record-by-record validation is inherently hard to scale because the more projects and subcontractors a portfolio adds, the more exposure it carries to a compliance gap slipping through unnoticed. Recognizing this, the company moved to get ahead of the risk rather than wait for it to surface.
What non-compliance costs. On a project claiming the enhanced credit, industry-wide, a compliance failure gets cured through correction payments to workers plus penalties to the IRS, and if it can't be substantiated at all, the enhanced credit itself is lost. The penalties are modest per instance (thousands per underpaid worker, tens of dollars per apprentice-hour short of the required threshold) but scale quickly across a workforce and a construction timeline, and the credit itself carries a 5x multiplier tied directly to staying compliant.
For context on how fast this scales: 40 underpaid workers across a few pay periods ($5,000 each = $200K) plus a project finishing 2,000 apprentice-hours short of the threshold ($50/hr = $100K) puts correction and penalty exposure alone at roughly $300K — before any lost credit. It's this kind of exposure, scaling with portfolio growth, that made the company invest in a more durable solution.
The Solution
RapidCanvas built a Payroll Compliance Agent: an AI system that understands the compliance standards themselves, checks every payroll record against them, and gives the payroll team a clean, prioritized queue of only the issues that actually need attention.
Instead of a person cross-referencing shift schedules, certified payroll, and wage determinations by hand, the system does that reconciliation automatically: catching discrepancies as they occur rather than after the fact. Every flagged issue comes with full traceability back to the source documents behind it, so nothing is a black box: the payroll team can always see exactly why something was flagged and verify it in seconds rather than hours.
The company now works from a live compliance view across its entire solar portfolio, not just project by project, with issues surfaced and routed automatically instead of discovered during a manual audit. What used to be a reactive, after-the-fact check is now a standing, real-time view of where the portfolio stands.
Results and Benefits
Manual to automated. What was once a manual, record-by-record review is now a live, automated queue. The payroll team spends its time resolving real issues instead of hunting for them.
One integrated system. The engagement consolidated what had previously required multiple outside resources into a single, integrated view the company now owns and can scale on its own as the solar portfolio grows.
Why It Matters
For any company sitting on standards, regulations, or contractual rules that have to be checked against real records, this same approach applies: an AI system that reads the governing document once and then validates every record against it, continuously, instead of a person doing it row by row. That's a meaningfully different cost curve as a portfolio grows, as the review effort stays flat even as the volume of records doesn't.
Construction in particular is full of this kind of problem. The industry runs on fragmented, manual, document-driven workflows, with compliance being one clear example, but the same pattern shows up anywhere a rulebook has to be checked against a paper trail, from bid review to safety documentation. Companies that get ahead of this now are trading a linear, headcount-bound process for one that scales with the business instead of against it.
Conclusion
By replacing manual, record-by-record compliance checks with an AI system that reads the rules and validates payroll against them automatically, the company can scale IRA compliance across its growing solar portfolio with far less manual effort and with the traceability to defend every record if it's ever questioned. As that portfolio keeps expanding, the system scales with it, rather than adding to the manual burden the way the old process would have.
Ready to transform your operations? To learn more about how RapidCanvas can help your business turn fragmented, manual workflows into AI-scored, automated systems, contact us today for a free consultation.
