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As of 13 August 2026, AI can assess whether an RFP is a good fit for your business.
Most people should hand this to a purpose-built tool.
Can you do it?
5 minutesto a draft.
30 minutesto something you’d act on.
Cost, all in£0
Skill neededchat-fluent
Who has to check ityou
What the alternative costsThe available tool data gives no price for a human bid-review service.
If this goes wrong: you pursue an unsuitable bid, waste proposal capacity or accept work your business cannot deliver profitably.
What to actually do
Use a tool built for this
The route this page recommends
Do it yourself
Second choiceA chat interface, chat-fluent skill, and roughly 30 minutes until you can act on the result.
How to actually do it
- Open the RFP and copy the complete document, including the specification, scoring criteria, timetable, contract terms, submission rules and buyer questions.
- Gather your current capability statement, service descriptions, relevant case studies, certifications, delivery locations, available capacity, pricing constraints and non-negotiable exclusions.
- Paste the business information and the RFP into a chatbot with the supplied prompt, asking it to cite the RFP wording for every requirement it assesses.
- Export or copy the requirement table and check every met or partly met result against the original RFP and your current evidence, changing unsupported results to unknown.
- Ask the chatbot to produce a list of clarification questions focused on unknown mandatory requirements, delivery obligations, contract risks, timescales and commercial viability.
- Send the clarification questions to the buyer through the permitted RFP channel, then add the answers to the assessment and rerun the recommendation.
- Compare the final recommendation with your capacity, margin requirements and risk tolerance, and record a human bid, no-bid or conditional-bid decision with its reasons.
Prompt
Assess whether this RFP is a good fit for my business. Use only the information in the RFP and the business information I provide, and clearly label any missing information or assumption. Do not invent capabilities, certifications, past performance, capacity, pricing, deadlines or contractual terms. Business information: [Describe what we sell, the sectors and locations we serve, relevant experience, certifications, available capacity, minimum acceptable contract value or margin, delivery constraints, exclusions and risk tolerance.] RFP: [Paste the full RFP or the relevant sections.] Return the assessment in this structure: 1. Plain-language summary of what the buyer needs. 2. Mandatory requirements, scored as met, partly met, not met or unknown, with a citation to the relevant RFP wording and the business evidence for each. 3. Commercial and operational fit, including buyer type, contract scope, delivery location, timescales, capacity, likely effort, dependencies and payment or liability concerns. 4. Disqualifiers and unanswered questions that could change the decision. 5. Strengths that would make us credible. 6. Weaknesses, risks and evidence gaps. 7. A bid, no-bid or bid only if clarified recommendation. 8. The smallest set of questions to ask the buyer before deciding. 9. A short decision summary for a sales meeting. Separate facts from interpretations. Treat a requirement as unknown rather than met when the evidence is missing. Do not give legal advice, and flag any contract or liability point for review by a solicitor or suitable commercial adviser.
Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.
Hand it to a person
The distant thirdA person who owns the outcome does this end to end, worth it when the failure is dear.
What it gets wrong
- AI cannot know whether your stated capacity is genuinely available alongside existing client commitments.
- AI cannot reliably infer unstated buyer politics, competitor strength or the likelihood that the procurement will change.
- AI cannot decide what level of contractual, delivery or margin risk your business should accept.
- AI can mark a requirement as matched even when your evidence is too weak to survive evaluation, so each match needs checking against the source documents.
- AI cannot replace a solicitor or commercial adviser for unusual liability, indemnity, intellectual property or contract terms.
Even on a YES, the friction has a name: judgement under ambiguity, stakes of error and context depth.
How we scored this
Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.
| Axis | Score (0–2) |
|---|---|
| Output | 2 |
| Inputs | 2 |
| Verification | 1 |
| Liability | 1 |
| Effort delta | 2 |
| Total | 8 / 10 |
The methodology and its thresholds are published in full.
FAQ
- Can ChatGPT read an RFP and tell me whether I should bid?
- Yes. It can extract requirements, compare them with your capabilities and produce a bid, no-bid or conditional-bid recommendation. You still need to check the evidence and make the final commercial decision.
- What information should I give AI to assess an RFP?
- Give it the full RFP, including scoring criteria, deadlines and contract terms, alongside your capabilities, capacity, relevant evidence, pricing constraints and exclusions. Missing business information should be marked as unknown rather than filled in by the model.
- Can AI tell if my business can deliver an RFP?
- It can compare the written requirements with the delivery information you provide and identify gaps or dependencies. It cannot verify your real capacity, operational resilience or the practical effect of difficult contract terms without your judgement and evidence.
- Should I trust an AI bid or no-bid recommendation?
- Use it as a structured first assessment, not as the decision-maker. Check every mandatory requirement against the RFP and your records, resolve unknowns with the buyer, and get a solicitor or suitable commercial adviser to review serious contract risks.
Nearby answers
Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.
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