AI · Document Intelligence · Internal product build
AI Tender Intelligence & RFQ Automation
Days of tender reading, turned into structured commercial analysis.
An AI-assisted workflow that processes tender and RFQ documents, extracts commercial clauses and generates structured synopses — keeping humans in the loop for every judgment call.
The problem
Tender documents run to hundreds of pages of unstructured PDFs. Commercial teams spend days extracting eligibility criteria, clauses and terms by hand — under deadline pressure, with real money riding on a missed condition.
Our approach
- 01
Built a document pipeline that normalizes messy tender PDFs — scanned and digital — into machine-readable text.
- 02
Used LLM-based extraction with strict schemas so outputs are structured data, not paraphrased prose.
- 03
Kept humans in the loop: every extracted clause links back to its source location for verification.
Solution & key capabilities
- Automated tender document processing and information extraction
- Clause extraction with commercial-clause analysis
- Risk identification across terms and conditions
- Branch mapping for multi-location requirements
- Structured tender synopsis generation
- RFQ workflow automation
- Automated commercial-analysis report generation
Outcome & status
Reading-heavy tender screening becomes a review of structured data.
Fewer missed clauses through source-linked verification.
Demonstrates AI applied to a genuinely hard document workflow.
Current status: Internal automation
Described at a high level by design — tender contents, parties and internal processes remain confidential.
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