AI Bid Database Enrichment Agent

Automating Historical Bid Data Enrichment with AI
Extract and Structure Unstructured Bid Artifacts
The agent ingests scope letters, bid forms, PDFs, and emails, applying OCR and layout-aware parsing to pull quantities, prices, alternates, allowances, and commercial terms into structured records.
Normalize and Level Bids for True Comparison
Automated workflows map each bid to your cost codes or CSI MasterFormat, resolve vendor name variants to a single master, and align inclusions and exclusions so estimators see genuine base-bid comparisons—not scope gaps disguised as savings.
Score Risk and Flag Outliers Instantly
The system computes per-bid and per-vendor risk scores based on scope completeness, price variance, compliance gaps, and historical performance, surfacing outliers and missing addenda before bid day pressure hits.
How Cassidy automates bid intake and leveling using AI
Step 1: Trigger on new bid submission or import
The Workflow activates when bids arrive—via connectors to BuildingConnected, Procore, shared mailboxes, or drag-and-drop uploads—automatically deduplicating revisions and flagging addenda acknowledgment status.
Step 2: Parse and extract bid data
Cassidy applies OCR to scanned documents and uses layout-aware parsing to extract line items, quantities, unit prices, alternates, allowances, exclusions, and commercial terms from each submission.
Step 3: Normalize vendors and map cost codes
The agent resolves vendor name variants to your master list, attaches compliance data (EMR, insurance, bonding capacity), and maps every line item to your WBS or CSI MasterFormat structure for consistent categorization.
Step 4: Level bids and detect scope gaps
Cassidy aligns each bidder to your scope checklist, flags missing items or unacknowledged addenda, adjusts for inclusions and exclusions, and isolates alternates so base prices are directly comparable.
Step 5: Calculate risk scores and flag outliers
The Workflow computes weighted risk scores—factoring scope completeness, price variance against historical benchmarks, commercial compliance, and vendor performance—and highlights statistical outliers for estimator review.
Step 6: Generate deliverables and update historical database
Cassidy produces leveled bid tabs, risk scorecards, and benchmark reports exportable to Excel or PDF, then writes enriched records to your historical database with full data lineage for future estimating and continuous model improvement.
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


