RFQ Response Screening Rules Creation Agent Icon

RFQ Response Screening Rules Creation Agent

Defines screening rules and evaluation criteria for finalized RFQs to streamline vendor response evaluation.

About the Agent

ZBrain RFQ Response Screening Rules Creation Agent streamlines the supplier evaluation process by automating the generation of screening rules directly from RFQ documents. Powered by a Large Language Model (LLM), the agent translates complex RFQ requirements into clear, auditable qualification rules, eliminating manual effort and ensuring consistency across procurement cycles. It adapts dynamically to the RFQ context, reducing evaluation time and improving compliance.

Challenges the RFQ Response Screening Rules Creation Agent Addresses

Manual creation of screening rules from diverse RFQ formats slows down vendor evaluation and introduces inconsistencies. Procurement teams must interpret varying formats, pricing structures, and compliance details, often leading to delayed shortlisting and subjective decision-making. Static templates and manual methods lack the adaptability to evolving procurement policies, integration needs, or regulatory frameworks. As RFQ volumes scale, these inefficiencies create compliance risks, reduce negotiation leverage, and weaken sourcing agility.

ZBrain RFQ Response Screening Rules Creation Agent utilizes an LLM to automate screening rule generation by analyzing structured RFQ content to extract mandatory requirements and evaluation logic. It converts these into standardized screening rules, updates the knowledge base, and removes outdated entries. Designed for seamless integration, it adapts rule creation based on procurement workflows and contextual data. This accelerates vendor evaluation, enhances accuracy, and ensures procurement teams apply consistent, auditable standards across every RFQ response.

How the Agent Works?

The ZBrain RFQ response screening rules creation agent is designed to automate the generation of screening rules for RFQs submitted. Utilizing an LLM, it comprehensively analyzes RFQ content and generates a detailed, structured set of objective screening rules. Below, we outline the detailed steps that showcase the agent's workflow:


Step 1: RFQ Upload and Agent Activation

This step initiates the agent workflow upon receiving a new RFQ document.

Key Tasks:

  • RFQ Document Upload: The agent provides a user-friendly interface to upload new RFQ documents.
  • Trigger Execution: Upon uploading a new RFQ document, the agent gets triggered automatically.

Outcome:

  • Trigger Setup: Ensures prompt initiation of the rule generation process upon document submission.

Step 2: RFQ Analysis and Screening Rules Generation

This step involves a deep analysis of the uploaded RFQ document to extract requirements and generate objective validation rules using an LLM.

Key Tasks:

  • Comprehensive RFQ Analysis: The agent uses an LLM to analyze the full RFQ, including appendices, attachments, and supporting documents, to extract critical details. This analysis drives insights on RFQ-specific mandatory requirements, submission instructions, format specifications, deliverables, evaluation criteria and important deadlines.
  • Validation Rule Generation: For each instruction or requirement extracted, the agent generates a corresponding screening rule to assess supplier compliance. The evaluation is:
    • Objectivity: Based on factual, verifiable content (e.g., submission deadlines, required formats, documentation completeness)
    • Compliance-oriented: Aligned strictly with RFQ specifications, avoiding subjective interpretation of quality or solution-fit
    • Deviation Handling: If deviations are allowed, rules are crafted to validate their proper submission as per RFQ (e.g., "Deviations must be listed in Table B")

Outcome:

  • A Structured Validation Rule Set: A well-structured set that mirrors RFQ expectations, enabling accurate and consistent evaluation of supplier responses.

Step 3: Knowledge Base Management

The agent updates the knowledge base to ensure only the most relevant, accurate rules are stored and referenced.

Key Tasks:

  • Get Knowledge Base Call: Retrieves the ID of the existing RFQ Screening Rules knowledge base.
  • Delete Previous Rules: Removes the prior set of rules using the fetched knowledge base ID to avoid duplication or conflict.
  • Update Knowledge Base: Adds the new set of generated rules to the respective knowledge base.
  • Output Preparation: Prepares the updated knowledge base link and rule summary for user visibility or downstream use. The report is generated by structuring rules across various sections, such as mandatory requirements, submission instructions, format specifications, deliverables, etc.

Outcome:

  • Updated Knowledge Base: A fully updated knowledge base containing current screening rules ready for use or integration.

Step 4: Continuous Improvement Through Human Feedback

The agent incorporates user’s feedback to refine rule accuracy and adapt to evolving evaluation needs.

Key Tasks:

  • Feedback Collection: Allows users to annotate rules for relevance, clarity, alignment with organizational policies, or exceptions. This helps flag missing logic, unclear conditions, or unnecessary constraints.
  • Feedback Analysis and Learning: The agent processes this feedback to identify recurring issues, such as ambiguous rule phrasing, overlooked evaluation criteria, or misaligned priorities.

Outcome:

  • Agent Improvement: The agent evolves continuously by incorporating human feedback, ensuring screening rules stay aligned with organizational policies and RFQ diversity, boosting compliance, evaluation consistency, and user trust over time.

Why use RFQ Response Screening Rules Creation Agent?

  • Faster Vendor Evaluation: Automatically generates screening rules from RFQs, reducing the time spent manually interpreting requirements and reviewing supplier responses.
  • Improved Accuracy and Compliance: Uses LLM-driven rule generation to ensure all evaluation criteria are captured objectively and aligned with procurement standards.
  • Standardized Screening: Ensures consistency across procurement cycles by enforcing uniform rule structures and minimizing subjective judgment.
  • Reduced Manual Effort: Eliminates the need for procurement teams to interpret and translate complex RFQ instructions into rule logic.
  • Scalability: Capable of processing high volumes of RFQs without compromising rule quality or processing speed, supporting enterprise-scale operations.
  • Adaptability Across RFQs: Handles RFQs of varying formats, structures, and complexity, scaling seamlessly.

Download the solution document

Accuracy
TBD

Speed
TBD

Input Data Set

Sample of data set required for RFQ Response Screening Rules Creation Agent:

Request for Quotation (RFQ)

RFQ Title: Enterprise IT Infrastructure Management Services for North American Operations
RFQ ID: NB-RFQ-IT-2025-045
Issue Date: May 1, 2025
Submission Deadline: June 15, 2025


1. Company Overview

Northbridge Industries Inc. is a U.S.-headquartered multinational leader in industrial manufacturing and logistics, with operations across North America, Europe, and Asia. The company’s digital transformation agenda prioritizes efficiency, resilience, and advanced cyber-secure service delivery across all business functions.


2. Project Overview

Northbridge seeks proposals from qualified vendors to provide managed IT infrastructure services for its North American operations. This includes infrastructure monitoring, cloud operations, incident response, and compliance-driven reporting for multiple facilities in the U.S. and Canada.


3. Scope of Work

3.1 Service Coverage

  • 24/7 infrastructure monitoring
  • L1–L3 help desk and on-site support
  • Server/network administration (Linux, Windows, Cisco, Fortinet)
  • AWS, Azure, and VMware hybrid cloud management
  • Patch management, backups, and upgrades
  • DevOps and container infrastructure support
  • Cyber incident management and forensic response
  • SLA-driven performance reporting

3.2 Locations

  • New York, NY (HQ)
  • Dallas, TX (Regional)
  • San Francisco, CA (R&D)
  • Toronto, ON (Manufacturing)
  • Chicago, IL (Distribution)

4. Technical & Regulatory Requirements

  • Manage 5,000+ endpoints
  • Microsoft 365 and identity access integration
  • HIPAA, PCI-DSS compliance
  • Support for ITIL v4 practices
  • ServiceNow/Zendesk integration
  • SOC 2 Type II and ISO 27001 certification
  • Adherence to NIST 800-53 and CIS Controls v8
  • Canadian and U.S. data residency enforcement
  • Multilingual support (preferred)

5. Key Milestones & Timeline

Milestone Date
RFQ Issuance May 1, 2025
Question Submission Deadline May 20, 2025
Proposal Deadline June 15, 2025
Evaluation & Interviews June 17 – July 5
Contract Award July 8, 2025
Service Start Date August 1, 2025
Initial Term 3 Years
Optional Renewal 2 Years

6. Proposal Evaluation Criteria

  • Vendor’s relevant experience
  • Proposed service model and delivery
  • Team certifications and staffing structure
  • Innovation and automation strategy
  • Cost transparency and alignment with budget
  • Reference checks and client case studies
  • Risk mitigation and continuity plans

7. Budget Guidelines

Estimated spend: USD $2.5M–$3.2M annually, inclusive of labor, tools, and transition services. Pricing must be itemized and scalable.


8. Submission Guidelines

Submit your complete proposal in PDF or DOCX format by June 15, 2025, 5:00 PM EST to:

Jane L. Roberts
Director – Global IT Procurement
📧 jroberts@northbridgeindustries.com
📞 +1 (212) 555-9823


9. Terms and Conditions

  • This RFQ is not an offer to contract.
  • Northbridge reserves the right to reject any or all proposals.
  • Shortlisted vendors will be invited for a 1-hour technical demo.
  • All communications must comply with Northbridge’s Ethics Policy.
  • NDA may be required prior to detailed discussion.

Deliverable Example

Sample output delivered by the RFQ Response Screening Rules Creation Agent:

Generated By: RFQ Response Screening Rules Creation Agent (ZBrain) Generation Timestamp: 2025-06-01T 10:30:001 Source RFQ ID: NB-RFQ-IT-2025-045 Source RFQ Version: 1.0 (Implied from RFQ structure)

1. RFQ Metadata Parameters

These are key parameters extracted from the RFQ header and body that define the context for screening.

  • Parameter_ID: RFQ-PARAM-001
    • Description: Source RFQ Identifier
    • Value: NB-RFQ-IT-2025-045
  • Parameter_ID: RFQ-PARAM-002
    • Description: Submission Deadline (EST)
    • Value: June 15, 2025, 5:00 PM EST
  • Parameter_ID: RFQ-PARAM-003
    • Description: Service Locations Covered (North America)
    • Value: New York, NY; Dallas, TX; San Francisco, CA; Toronto, ON; Chicago, IL
  • Parameter_ID: RFQ-PARAM-004
    • Description: Initial Contract Term (Years)
    • Value: 3
  • Parameter_ID: RFQ-PARAM-005
    • Description: Optional Renewal Term (Years)
    • Value: 2
  • Parameter_ID: BUDGET-PARAM-006
    • Description: Estimated Annual Budget Range (USD)
    • Value: $2.5M–$3.2M

2. Mandatory Requirements and Disqualification Rules

These rules define conditions that must be met. Failure to meet any MANDATORY rule should result in disqualification or a flag for critical review.

  • RULE_ID: MAND-TECH-001

    • Category: Technical Requirements
    • Type: Mandatory (Validation)
    • Source RFQ Ref: Section 4
    • Condition: Proposal must demonstrate ability to manage 5,000+ endpoints.
    • Verification Method: Review Technical Proposal for evidence of capability and proposed approach for managing specified endpoint volume.
    • Action if Condition NOT Met: Flag for critical review/potential disqualification.
  • RULE_ID: MAND-TECH-002

    • Category: Technical Requirements
    • Type: Mandatory (Validation)
    • Source RFQ Ref: Section 4
    • Condition: Proposed solution must integrate with Microsoft 365 and existing identity access infrastructure.
    • Verification Method: Review Technical Proposal for explicit mention and proposed method of integration.
    • Action if Condition NOT Met: Flag for critical review/potential disqualification.
  • RULE_ID: MAND-COMPL-003

    • Category: Regulatory Compliance
    • Type: Mandatory (Disqualification)
    • Source RFQ Ref: Section 4
    • Condition: Supplier must adhere to HIPAA and PCI-DSS compliance requirements relevant to scope of work.
    • Verification Method: Check for explicit confirmation of HIPAA and PCI-DSS compliance adherence in the response. Requires compliance team validation.
    • Action if Condition NOT Met: Disqualify Response.
  • RULE_ID: MAND-COMPL-004

    • Category: Regulatory Compliance
    • Type: Mandatory (Validation/Disqualification)
    • Source RFQ Ref: Section 4
    • Condition: Supplier must support ITIL v4 practices.
    • Verification Method: Review proposal for description of service delivery model aligning with ITIL v4 principles. Look for staff ITIL certifications.
    • Action if Condition NOT Met: Flag for critical review. Lack of clear support may lead to disqualification during detailed evaluation.
  • RULE_ID: MAND-COMPL-005

    • Category: Security Certification
    • Type: Mandatory (Disqualification)
    • Source RFQ Ref: Section 4
    • Condition: Supplier must possess SOC 2 Type II certification AND ISO 27001 certification.
    • Verification Method: Check for evidence (certificates, audit reports summary) of current SOC 2 Type II and ISO 27001 certifications.
    • Action if Condition NOT Met: Disqualify Response.
  • RULE_ID: MAND-COMPL-006

    • Category: Security Compliance
    • Type: Mandatory (Validation/Disqualification)
    • Source RFQ Ref: Section 4
    • Condition: Supplier must adhere to NIST 800-53 and CIS Controls v8 frameworks.
    • Verification Method: Review proposal for confirmation and description of adherence to NIST 800-53 and CIS Controls v8 in their security and operational practices.
    • Action if Condition NOT Met: Flag for critical review. Insufficient detail or confirmation may lead to disqualification.
  • RULE_ID: MAND-COMPL-007

    • Category: Data Residency
    • Type: Mandatory (Disqualification)
    • Source RFQ Ref: Section 4
    • Condition: Supplier must enforce Canadian and U.S. data residency requirements for relevant data.
    • Verification Method: Check for explicit confirmation and description of data residency controls and processes in the proposal.
    • Action if Condition NOT Met: Disqualify Response.
  • RULE_ID: MAND-SUB-008

    • Category: Submission Requirements
    • Type: Mandatory (Disqualification)
    • Source RFQ Ref: Section 8
    • Condition: Complete proposal must be submitted by the Submission Deadline.
    • Verification Method: Check submission timestamp against RFQ-PARAM-002.
    • Action if Condition NOT Met: Disqualify Response.
    • Notes: This rule is typically enforced automatically by the submission system.
  • RULE_ID: MAND-SUB-009

    • Category: Submission Requirements
    • Type: Mandatory (Validation)
    • Source RFQ Ref: Section 8
    • Condition: Proposal format must be PDF or DOCX.
    • Verification Method: Check file format of the submitted proposal document.
    • Action if Condition NOT Met: Flag for review/potential rejection if format is unreadable or non-compliant.

3. Scoring Rules

These rules define the criteria for scoring proposals and their relative importance based on the Evaluation Criteria section. Weights are implied from the listing order and typical RFQ evaluation structures, though explicit weights are not provided in this RFQ, requiring qualitative scoring based on criteria assessment.

  • RULE_ID: SCORE-EXP-001

    • Category: Evaluation Criteria
    • Type: Scoring (Qualitative)
    • Source RFQ Ref: Section 6 (Vendor’s relevant experience)
    • Condition: Assessment of the vendor's relevant experience in providing similar IT infrastructure management services, particularly in large enterprise and multi-site environments.
    • Verification Method: Qualitative evaluation of Company Overview, Project Overview understanding, and any explicitly provided experience summaries or case studies.
    • Scoring Logic: Assign points based on the degree of relevance and depth of demonstrated experience.
    • Notes: Requires expert human evaluation.
  • RULE_ID: SCORE-MODEL-002

    • Category: Evaluation Criteria
    • Type: Scoring (Qualitative)
    • Source RFQ Ref: Section 6 (Proposed service model and delivery), Section 3.1, 3.2
    • Condition: Assessment of the proposed service delivery model, including 24/7 coverage, help desk structure (L1-L3), administration capabilities across specified technologies, hybrid cloud management approach, and inclusion of cyber incident management/forensic response.
    • Verification Method: Qualitative evaluation of the Technical Proposal (Sections 3.1, 3.2) outlining the service model.
    • Scoring Logic: Assign points based on the clarity, comprehensiveness, and alignment of the proposed model with Northbridge's stated scope and requirements.
    • Notes: Requires expert human evaluation.
  • RULE_ID: SCORE-TEAM-003

    • Category: Evaluation Criteria
    • Type: Scoring (Qualitative)
    • Source RFQ Ref: Section 6 (Team certifications and staffing structure)
    • Condition: Assessment of the proposed staffing structure, team size, geographical distribution relative to Northbridge locations, and key team members' relevant certifications (e.g., technical, ITIL).
    • Verification Method: Qualitative evaluation of the proposal section detailing team structure and certifications.
    • Scoring Logic: Assign points based on the strength, relevance, and structure of the proposed team.
    • Notes: Requires human evaluation. Mandatory certifications (SOC 2, ISO 27001) are covered under MAND-COMPL-005, this focuses on individual/team certs.
  • RULE_ID: SCORE-INNOV-004

    • Category: Evaluation Criteria
    • Type: Scoring (Qualitative)
    • Source RFQ Ref: Section 6 (Innovation and automation strategy)
    • Condition: Assessment of the vendor's strategy for utilizing innovation (e.g., AI, machine learning) and automation to improve service delivery efficiency and effectiveness.
    • Verification Method: Qualitative evaluation of the proposal section describing innovation and automation approaches.
    • Scoring Logic: Assign points based on the perceived value, feasibility, and relevance of the proposed strategies.
    • Notes: Requires expert human evaluation.
  • RULE_ID: SCORE-COST-005

    • Category: Evaluation Criteria
    • Type: Scoring (Quantitative/Qualitative)
    • Source RFQ Ref: Section 6 (Cost transparency and alignment with budget), Section 7 (Budget Guidelines)
    • Condition: Assessment of the proposed pricing structure, itemization, scalability, and alignment with the estimated annual budget range ($2.5M–$3.2M).
    • Verification Method: Extract detailed pricing from the proposal. Compare total proposed cost with budget guidelines. Evaluate clarity and itemization.
    • Scoring Logic: Assign points based on competitiveness, transparency, scalability, and proximity to the estimated budget range. Could involve quantitative scaling relative to the lowest compliant bid or a target price.
    • Notes: Requires extraction and analysis of pricing data.
  • RULE_ID: SCORE-REF-006

    • Category: Evaluation Criteria
    • Type: Scoring (Qualitative, potentially informed by external action)
    • Source RFQ Ref: Section 6 (Reference checks and client case studies)
    • Condition: Assessment based on outcomes of reference checks and the quality/relevance of provided client case studies.
    • Verification Method: Review provided case studies. Integrate feedback from completed reference checks (action external to initial screening).
    • Scoring Logic: Assign points based on positive reference feedback and compelling case studies demonstrating success in similar projects.
    • Notes: Relies on a downstream process (reference checks). Initial screening confirms presence of references per MAND-COMPL-004.
  • RULE_ID: SCORE-RISK-007

    • Category: Evaluation Criteria
    • Type: Scoring (Qualitative)
    • Source RFQ Ref: Section 6 (Risk mitigation and continuity plans)
    • Condition: Assessment of the vendor's proposed plans for identifying, mitigating, and managing risks, including business continuity and disaster recovery aspects related to service delivery.
    • Verification Method: Qualitative evaluation of the proposal section describing risk management and continuity plans.
    • Scoring Logic: Assign points based on the robustness, comprehensiveness, and feasibility of the proposed plans.
    • Notes: Requires expert human evaluation.

4. Rule Set Application Guidance

  1. Initial Gate: Apply all MANDATORY rules (Section 2). Any response failing a MANDATORY rule marked for "Disqualification" is immediately removed. Responses failing a rule marked "Validation" are flagged for immediate manual review to confirm compliance or determine disqualification.
  2. Scoring: For responses that pass the mandatory gate, apply the SCORING rules (Section 3).
    • Automated assistance can extract data for potential quantitative scoring rules (e.g., elements of cost if structured).
    • The majority of scoring rules for this RFQ require qualitative assessment by expert evaluators. The rules serve as a checklist and guide for evaluators on what criteria to score against, ensuring consistency.
  3. Final Rank: Responses are ranked based on their total score derived from the scoring criteria. Further evaluation stages (like technical demos mentioned in Section 9) would follow based on this initial ranking.

Related Agents