AI Construction Cost Validation Agent
Automating Cost Data Validation with AI
Catch exceptions before they become rejections
The agent cross-checks quantities, unit prices, retainage calculations, and materials-on-hand against contract terms and field data—flagging mismatches, math errors, and documentation gaps in real time.
Validate change orders with confidence
AI automation compares contractor pricing against independent cost estimates and historical benchmarks, verifies markup caps and wage compliance, and ensures entitlement documentation is complete before approval.
Maintain audit-ready traceability
Every validation decision links back to source documents—DWRs, materials tickets, specs, and approvals—with timestamped logs that satisfy DOT and owner audit requirements.
How Cassidy automates cost validation using AI
Step 1: Ingest and normalize cost data
The Workflow triggers when estimates, pay applications, or change order packages are submitted. Cassidy ingests structured exports from systems like HeavyBid or AASHTOWare, normalizes DOT pay-item codes to your WBS structure, and harmonizes units of measure across documents.
Step 2: Run contract compliance checks
Cassidy validates math across pay items—verifying retainage splits, prior payments, and balance-to-finish calculations. The system enforces spec-based rules including mobilization caps, escalation formulas, and Davis-Bacon wage classifications, flagging any violations.
Step 3: Cross-reference field data and benchmarks
The Workflow pulls Daily Work Reports and quantity diaries from your Knowledge Base, reconciling billed quantities against inspector-verified measurements. Cassidy compares unit prices and CO line items against historical DOT bids and cost databases to flag outliers.
Step 4: Validate change order packages
For each CO, Cassidy classifies the entitlement type, confirms the correct pricing method is applied, and generates variance analysis against an independent cost estimate. The system checks that time-impacted COs include proper TIA documentation and extended overhead calculations.
Step 5: Route exceptions for Human-in-the-Loop review
Cassidy surfaces flagged exceptions—quantity discrepancies, missing backup, markup violations—to project engineers through Slack or Teams. Reviewers approve, reject, or request clarification directly in the notification, with all decisions logged.
Step 6: Generate certification-ready documentation
Once exceptions clear, Cassidy compiles the validated pay estimate with line-item detail, supporting DWRs, materials tickets, compliance receipts, and approval signoffs into a single audit-ready package for owner certification.
Implement it inside your company
- Hands-on onboarding and support
- Self-paced training for your team
- Dedicated implementation experts
- Ongoing use case discovery
- ROI tracking & analytics dashboards
- Proven playbooks to get started fast
