RFP Go No GO Analysis
Find Deal-Breakers in 2 Minutes, Not 20 Hours In
Scan RFP documents against your Go / No - Go criteria before you start work. Surface impossible requirements before you waste team resources on dead-end bids.
The Problem
Stop Discovering Impossible Requirements on Page 289
20 hours in. Legal flags a deal-breaker. The bid was dead before you started.
This happens every quarter.
+120 pages
+200 pages
On-Premise Deployment Required
BEFORE
Where are integration points required
Deal-breaker
The RFP mentions integration with Salesforce, email, and potentially a Digital Asset Management/Content management tool. Specific integration requirements are not fully detailed.
AI for Proposal & Questionnaire RFP.pdf
Is on-premise hosting a mandatory requirements?
Compatible
Yes
AI for Proposal & Questionnaire RFP.pdf
AFTER
Deal-breaker detected in 2 minutes
AI Analysis
Automated Screening Against Your Deal-Breaker Criteria
Define your deal-breakers once. AI screens every upload automatically.
Configure go / no-go criteria
Set Your Criteria. AI Does the Rest.
Define screening questions by category, legal, implementation, support, etc. AI applies them to every RFP automatically.
Custom categories (certs, deployment, compliance, timeline)
Questions and pass/fail criteria per category
Confidence scoring for every result
RFP Go / No - Go Decision Questions
All Questions
Does the data need to be stored geographically?
Validation Questions
Yes, the data must be stored within the United States
Source: AI for Proposal & Questionnaire RFP.pdf
High Confidence
Where are the integration points required
Validation Questions
The RFP mentions integration with Salesforce, email, and potentially a Digital Asset Management/Content mangement tool. Specific integration requirements are not fully detailed.
Source: AI for Proposal & Questionnaire RFP.pdf
High Confidence
Is on-premise hosting a mandatory requirement?
Validation Questions
No
Source: AI for Proposal & Questionnaire RFP.pdf
High Confidence
What are the key dates?
Key dates
Go/no-go
11/05/2025
RFP Distribution Date
11/08/2025
RFP Questions Deadline
11/12/2025
RFP Questions Responses Provided
11/15/2025
Proposal Due Date
Source: AI for Proposal & Questionnaire RFP.pdf
High Confidence
Source
RFP Distribution Date 11/05/2025
RFP Questions Deadline 11/08/2025
RFP Questions Responses Provided 11/12/2025
Proposal Due Date 11/15/2025
Source: AI for Proposal & Questionnaire RFP.pdf, page 32
High Confidence
ASK THE DOCUMENTS
Unclear Requirement? Just Ask.
AI flags it, but the language is vague. Chat with the document to clarify before you make the call.
"What's the actual go-live timeline in the implementation section?"
"Is Section 5 mandatory or preferred?"
Learn more
Other features
FAQ
Frequently asked questions.
Should we use Go/No-Go analysis, or just bid on everything?
Many teams tell us they currently answer every RFP that comes in. The problem is that spreads your best people thin across bids you were never going to win. AutoRFP.ai's Go/No-Go analysis scans uploaded RFP documents against your custom deal-breaker criteria in minutes, identifying compliance gaps, missing certifications, and requirements you cannot meet before you commit 20+ hours of team time. Teams using Go/No-Go consistently improve their win rates by focusing resources on bids they can actually win.
How does Go/No-Go handle gray areas where features are 'close enough'?
Not every requirement is binary. AutoRFP.ai's Go/No-Go gives you scored assessments rather than just pass/fail, so you can see where you are fully compliant, partially compliant, or non-compliant. For requirements in the gray area, the tool provides context on how closely your capabilities align, letting your team make informed judgment calls rather than guessing. This is particularly valuable in industries like SaaS where some features may be on your roadmap or close enough to satisfy the requirement.
Can the Go/No-Go criteria be customised to our specific deal-breakers?
Yes. You define your own deal-breaker questions and qualification criteria. The AI then scans uploaded RFP documents against those custom parameters, so the assessment reflects your specific business requirements, not generic criteria. This means you can flag things like geographic restrictions, specific certifications, deployment models, or any other factors that matter to your bid decisions.
How quickly does Go/No-Go analyse an RFP?
The AI scans your uploaded RFP documents against your deal-breaker criteria in about 2 minutes, compared to the hours it takes to manually read 100+ pages hunting for disqualifying requirements. This means you can make informed bid/no-bid decisions the same day you receive an RFP, rather than discovering deal-breakers 20 hours into the response process.
Is AutoRFP.ai safe to use with confidential RFP content?
Yes. AutoRFP.ai maintains ISO 27001:2022 certification and SOC 2 Type II compliance with enterprise-grade encryption. Your documents remain exclusively within your private instance, and AutoRFP.ai never uses your content to train its models.
How long does it take to get set up?
After a quick 30-minute demo, your account can be configured within 48 hours. Our onboarding team helps you define your Go/No-Go criteria and import your documents. Most teams are running their first analysis within the first week.
What kind of categories can I use for my Go/No-Go criteria?
You can define screening questions by any category that matters to your business, including Legal, Implementation, Support, Security, and Compliance. This allows you to check for specific certifications (like SOC 2 or ISO), deployment models (on-premise vs. cloud), and timeline feasibility simultaneously.
How does the 'Chat with Documents' feature help in the qualification process?
If the AI flags a requirement as a potential deal-breaker but the language in the RFP is vague, you can use the 'Chat with Documents' feature to ask clarifying questions like 'Is Section 5 mandatory or preferred?' or 'What's the actual go-live timeline in the implementation section?'. This provides immediate clarity without needing to manually hunt through hundreds of pages.
Does the Go/No-Go analysis provide source citations for its findings?
Yes, every finding in the Go/No-Go analysis includes a direct source citation and page number from the uploaded RFP document. This transparency allows your team to verify the AI's assessment quickly and make decisions with high confidence.
Can I use Go/No-Go analysis for Security Questionnaires as well as RFPs?
Absolutely. The Go/No-Go analysis works across various document types, including RFPs, DDQs, and Security Questionnaires. It can quickly scan for 'deal-breaker' security requirements, such as specific encryption standards or data residency rules, before your security team spends hours on a detailed response.
How does the confidence scoring work for qualification results?
AutoRFP.ai provides a confidence score for every qualification result. High-confidence scores indicate that the AI has found a clear match or conflict with your criteria, while lower scores signal that the requirement may be in a 'gray area' that requires human review.
Why is it common for teams to discover 'deal-breaker' requirements late in the RFP process?
Discovering deal-breakers late is common because manual screening of 100+ page documents is tedious and error-prone. Without automated tools, teams often start the response process based on a high-level overview, only to find disqualifying requirements buried deep in the technical or legal sections hours or days later.
What is the true cost of bidding on 'unwinnable' RFP opportunities?
The true cost is the massive drain on your most valuable resources—your Subject Matter Experts (SMEs). Every hour an SME spends on a poor-fit bid is an hour they can't spend on high-probability opportunities, which directly lowers your overall win rate and contributes to team burnout.
How can bid qualification improve the morale and productivity of Subject Matter Experts (SMEs)?
Rigorous qualification ensures that SMEs only work on bids where the company has a strong chance of winning. This reduces 'bid fatigue,' stops them from 'burning weekends' on dead-end projects, and allows them to focus their expertise on high-value, strategic work that actually moves the needle.
What are the most common 'hard' deal-breakers that proposal teams should screen for?
Common hard deal-breakers include missing mandatory certifications, inability to meet strict go-live dates, geographic data residency restrictions, and non-negotiable deployment models (e.g., on-premise requirements for a cloud-only provider).
How can organizations justify a 'No-Bid' decision to sales leaders and executives?
A 'No-Bid' decision is best justified with objective data. By using an automated screening tool, you can present a clear compliance gap analysis showing exactly where the RFP requirements conflict with company capabilities, turning a potentially emotional debate into a data-driven business decision.
Why do traditional bid-scoring spreadsheets often fail to prevent poor-fit bids?
Traditional spreadsheets rely on manual data entry and 'best guesses' before the document has been fully read. AI-driven screening, however, scans the *actual* document text against your criteria, identifying specific conflicts that manual scoring often misses.
How can teams move from 'reactive' to 'proactive' bid qualification?
Teams become proactive by screening every incoming RFP within minutes of receipt. This 'fail-fast' approach allows you to disqualify poor-fit bids immediately, giving your team more time to strategically prepare for the opportunities you *do* decide to pursue.
What is the impact of 'bid fatigue' on a company's long-term proposal quality?
Bid fatigue leads to 'copy-paste' responses, missed requirements, and lower-quality submissions across the board. By qualifying bids effectively and reducing the total volume of work, teams can invest more time in tailoring each response, leading to a higher-quality output and a better win rate.