The company processed up to 100 RFPs per week, relying on highly manual, labor-intensive workflows.

Highly skilled team members spent significant time on:

• Extracting data from complex RFP documents and attachments
• Manually entering data into Salesforce and Excel models
• Coordinating timelines and stakeholder reviews

This resulted in:

• Bottlenecks in deal processing
• High risk of human error and potential disqualification
• Slow decision-making for “Go/No-Go” opportunities
• Misallocation of high-value expert time to repetitive tasks

A centralized Agentic AI workspace for RFP processing, automating document ingestion, data extraction, validation, and workflow orchestration.

The system includes:

AI-powered data extraction

• Extracts 40–80 structured fields from RFP documents directly into Salesforce
• Parses complex PDF attachments to extract ~100 granular data points into internal financial models

Workflow orchestration

• Automatically calculates timelines based on RFP deadlines
• Schedules 8–10 stakeholder meetings and deal reviews
• Coordinates workflows across sales, operations, and leadership

AI validation layer (zero-defect design)

• Specialized AI agents validate extracted data against ground truth
• Confidence scoring + human-in-the-loop ensures accuracy and reliability

Centralized workspace

• Global opportunity dashboard
• Deal workspace for document review
• Visual deal timeline for full process visibility

• Up to 40 minutes saved per RFP, significantly reducing manual workload
• Near-zero error rates through AI validation and structured workflows
• Faster Go/No-Go decision-making and deal progression
• Increased deal throughput without increasing headcount
• Reallocation of SMEs from administrative work to strategic, revenue-generating activities

Delivered as a secure, enterprise-grade AI system with a multi-layer architecture.

Key components:

• AI agents for extraction and validation (multi-step reasoning workflows)
• Secure cloud infrastructure with private network isolation
• Integration with Salesforce, internal financial models, and collaboration tools
• Structured data storage and caching for performance and scalability

The system was designed with a human-in-the-loop approach to ensure reliability while maintaining high automation levels.