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Rodic Consultants | RFP Parsing Tool

Internal Softwares

An AI-powered business development tool designed to parse and analyze complex RFPs, highlight critical risks, and generate departmental summaries. Built for speed and accuracy, the tool significantly reduces manual effort in RFP evaluation, helping organizations make faster, smarter bid decisions while minimizing risk and boosting compliance efficiency.

Nov 20, 2024

6 months

AI RFP Parser, Admin Dashboard

Problem Statement

Rodic’s business development team faced delays and inconsistencies in RFP evaluation due to the manual nature of identifying risks, compliance gaps, and eligibility criteria. The process was highly time-consuming and often resulted in missed insights and inefficient coordination between departments, increasing response timelines and potential bid losses.

Problem Statement

Rodic’s business development team faced delays and inconsistencies in RFP evaluation due to the manual nature of identifying risks, compliance gaps, and eligibility criteria. The process was highly time-consuming and often resulted in missed insights and inefficient coordination between departments, increasing response timelines and potential bid losses.

Approach

We built an AI-driven tool that parses raw RFP documents and flags risks across categories like budget, ambiguity, compliance, and more. The system uses proprietary LLM agents and vector search to extract and rank risks, generate summaries, and route risks to relevant business units. Features like chatbot support, reference linking, and feedback loops were included to improve collaboration and precision.

Solution Overview

Solution Overview

The BD Tool automatically extracts structured risks and action points from unstructured RFP documents. It categorizes them by severity, maps them to business units, and provides source references. A built-in AI chatbot allows stakeholders to query documents conversationally. Departmental summaries and clipboard-ready exports streamline the CRM handoff, while a feedback loop drives iterative model improvement.

Solution Overview

The BD Tool automatically extracts structured risks and action points from unstructured RFP documents. It categorizes them by severity, maps them to business units, and provides source references. A built-in AI chatbot allows stakeholders to query documents conversationally. Departmental summaries and clipboard-ready exports streamline the CRM handoff, while a feedback loop drives iterative model improvement.

Auto Risk Categorization Engine

Auto Risk Categorization Engine

Our AI engine reads RFPs and auto-tags risks into compliance, budget, operational, and legal categories. It also scores priority levels and maps each risk to the concerned department. This fully replaces time-intensive manual tagging and delivers actionable intelligence in under five minutes.

Auto Risk Categorization Engine

Our AI engine reads RFPs and auto-tags risks into compliance, budget, operational, and legal categories. It also scores priority levels and maps each risk to the concerned department. This fully replaces time-intensive manual tagging and delivers actionable intelligence in under five minutes.

LLM-Powered Chatbot Interface

LLM-Powered Chatbot Interface

We embedded a conversational assistant within the tool using GPT-4o. Users can ask questions like “What are the disqualification clauses?” or “Where is the EMD clause?” and receive pinpoint answers linked directly to source sections—eliminating the need to read full documents.

LLM-Powered Chatbot Interface

We embedded a conversational assistant within the tool using GPT-4o. Users can ask questions like “What are the disqualification clauses?” or “Where is the EMD clause?” and receive pinpoint answers linked directly to source sections—eliminating the need to read full documents.

Reference-Linked Risk Outputs

Reference-Linked Risk Outputs

Each risk identified by the tool is linked to its original clause in the RFP. Users can click to jump directly to the source in the document, ensuring transparency and trust. This feature significantly reduced back-and-forth during internal reviews and pre-bid meetings. `

Reference-Linked Risk Outputs

Each risk identified by the tool is linked to its original clause in the RFP. Users can click to jump directly to the source in the document, ensuring transparency and trust. This feature significantly reduced back-and-forth during internal reviews and pre-bid meetings. `

Departmental Summary Generator

Departmental Summary Generator

The tool generates tailored summaries for Legal, Finance, Ops, and Tech teams—based on risk mapping. This eliminated duplication and enabled faster go/no-go decisions. Teams receive only relevant excerpts, making collaboration highly efficient.

Departmental Summary Generator

The tool generates tailored summaries for Legal, Finance, Ops, and Tech teams—based on risk mapping. This eliminated duplication and enabled faster go/no-go decisions. Teams receive only relevant excerpts, making collaboration highly efficient.

Impact

The BD Tool revolutionized Rodic’s pre-bid workflows. What once took days of manual scanning and review was now compressed into minutes with structured insights, cross-team alignment, and AI support. The tool continues to reduce risk exposure, improves bid precision, and sets a new standard for AI-driven business development.

80% reduction in review time

68%+ F1 score for risk tagging

100% traceability to RFP sources

80% reduction in review time

68%+ F1 score for risk tagging

100% traceability to RFP sources

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Or

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Throw us a challenge?

Book a call

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Or

Send inquiery

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Throw us a challenge?

Book a call

Book a call

Send inquiery

Send inquiery