AI in proposals, tenders and RFPs: from hundreds of pages of documentation to a controlled draft
An advanced workshop for bid managers and B2B consultants. Across two realistic case studies, the participant moves from a chaotic document pack to a compliance matrix, questions, a risk register, an evidence map and a first draft of the proposal. AI speeds up analysis and drafting, but it does not invent facts or make decisions for the expert.
Access to the full course
33 USD
- ✓One-time payment
- ✓Lifetime access
- ✓Certificate
- ✓12 hours
Who this course is for
Experienced bid managers, proposal managers, B2B sales consultants, presales, sales operations and proposal owners who want to shorten documentation analysis without losing control over compliance. The course is intended for people skeptical of smoothly worded AI answers and expecting a process in which every important claim has a source, an owner and an approval status.
The course recreates the work of a proposal team under time pressure. First, the participant prepares a simple commercial offer for a B2B client, and then tackles a complex RFP: the main document, forms, technical appendices, a pricing table, amendments and the buyer’s responses. Each stage ends with a concrete artifact that can be used in a real bid process. The participant will see full examples of weak and improved prompts, extractions, compliance tables, responses and reviewers’ comments. Particular emphasis is placed on source traceability, the prohibition on inventing references, parameters and certificates, detecting contradictions, and dividing responsibility between AI, the bid manager, the subject-matter expert, the lawyer and the proposal owner. The program reflects the current direction of development in the proposal management industry: using AI to fix the workflow, preparing proposals that are also machine-evaluated, and controlling confabulation through work on approved sources, measurable criteria and human oversight. The finale is your own Bid Copilot — a set of instructions, prompts, spreadsheets, rules of escalation and quality gates for reuse.
What you will learn
- Break down an RFP package into controlled sources and carry out a step-by-step analysis without missing amendments, forms and appendices.
- Extract deadlines, mandatory requirements, scoring criteria, editorial instructions and contractual obligations together with the source indication.
- Build a compliance matrix, a list of missing information, a set of clarification questions, a risk register, and an evidence and reference map.
- Recognize contradictions between the main document, appendices, tables and the buyer’s responses, and route them to the appropriate decision-maker.
- Determine which tasks can be delegated to AI, which require bid manager oversight, and which require approval from the expert, lawyer or proposal owner.
- Prepare the structure of the executive summary and the first version of the response based solely on approved source materials.
- Compare the proposal against scoring criteria and improve weak, generic or unsupported answers.
- Conduct a red-team review covering compliance, credibility, consistency, completeness and the risk of unauthorized claims.
- Perform a final check of the proposal package before approval and submission.
- Build your own Bid Copilot: a library of prompts, spreadsheets, instructions, source rules and acceptance gates.
Prerequisites
Experience in preparing B2B proposals, tenders or RFP responses; familiarity with the typical bid/no-bid process and working with experts; access to a generative AI tool approved by the organization and a spreadsheet. The participant should not enter confidential, personal, NDA-protected data or trade secrets into a public model. No programming is required.
Course syllabus
- Monday, 9:00: 18 pages of inquiry, four attachments, and a salesperson’s promise
- Delegation map: AI prepares, expert confirms, offer owner decides
- Red lines: no invented references, parameters, certificates, or compliance
- Full A/B artifact: prompt “write an offer” versus instruction with scope, sources, and format
- Start gate: can documents be handed over to a chosen AI tool
- Package inventory: main document, forms, appendices, Q&A, and files without versions
- Which document wins: source hierarchy and handling the contracting authority’s response
- OCR Without Illusions: the table after scanning, whose columns shifted by one row
- Change log: a new Annex 7B appears the day before the deadline
- Source test: five files, three versions of the truth, and one decision to escalate
- Pass 1 — tender calendar: deadlines, dependencies, and no-slip events
- Pass 2 — mandatory requirements: “must,” “shall,” “minimum,” and rejection conditions
- Pass 3 — point criteria: weights, thresholds, and evidence expected by evaluators
- Pass 4 — response instructions: page limits, file formats, signatures, and prohibited additions
- Pass 5 — hidden obligations in the contract draft: SLA, penalties, audit, and liability
- Extraction control: 12 sentences that AI incorrectly identified as requirements
- From Quote to Row: Identifier, Source, Requirement, Response, Evidence, and Owner
- The status cannot read “in progress”: a closed dictionary of compliance and exceptions
- List of missing information: what AI, the bid manager, and the salesperson do not know
- Clarifying Questions That Do Not Reveal the Weakness of the Solution
- Contradiction 4.2 versus technical appendix: 99.5% or 99.95% availability
- Matrix review: does 47 rows really cover 47 requirements
- Offer risk register: probability, impact, owner, and decision
- Risk or problem: missing ISO certificate before the bid submission deadline
- Evidence map: every claim leads to an approved document or expert
- Full A/B artifact: marketing reference versus defensible reference
- False confidence in the model: a certificate the company never had
- Response plan aligned to the criteria: what the evaluator must read to award points
- Executive summary without self-promotion: client situation, result, approach, and proof
- Full A/B artifact: “we are the market leader” versus openness about migration risk
- Section prompt: requirement, thesis, sources, word limit, and forbidden assumptions
- Draft version with controlled gaps: [NO DATA], [TO BE CONFIRMED], [DECISION]
- Handoff to the expert: 15 minutes to decide instead of an hour reading prose
- Scoring Sheet: criterion, weight, expected evidence, and confidence rating
- Evaluator simulation: why a correct answer gets 2 points out of 5
- Full artifact before and after: response about migration corrected against criterion 12.3
- Red-team review: compliance, credibility, consistency, completeness, and feasibility
- AI as a demanding reviewer, not a judge: a prompt for criticism with a citation requirement
- Reviewers’ dispute: legal wants a reservation, sales wants a strong declaration
- Final checklist: content, numbers, names, attachments, signatures, format, and portal
- Final consistency check: price, schedule, and SLA in five places in the offer
- Go, conditional go or no-go two hours before portal closure
- Bid Copilot, Part 1: fixed instruction, roles, prohibitions, and source hierarchy
- Bid Copilot, Part 2: prompt and worksheet library for the entire process
- Dress rehearsal: a new 12-page RFP goes through Copilot in 30 minutes
- Implementation plan for the next three bids: time, quality, and rework metrics
FAQ
You will go through the full proposal process: from a simple B2B commercial offer to a complex RFP covering the main document, forms, technical appendices, a pricing table, amendments and the buyer’s responses. You will learn how to extract requirements, organize information, build a compliance table and prepare a controlled draft response.
Yes. The course recreates the work of a bid team under time pressure and across multiple related documents. Each stage leads to a concrete artifact that you can adapt to a real proposal, tender or RFP process.
AI can speed up document analysis, requirement extraction, gap and contradiction detection, response structuring and the development of first drafts of content. However, the course shows not only text generation, but above all control of sources, compliance, changes and team decisions.
Yes. You will see full examples of weak and improved prompts, as well as extraction results, compliance tables and responses requiring verification. This will help you understand why generic instructions fail and how to design prompts useful in proposal work.
It does not promise uncritical automation. The goal is to prepare a controlled draft that the team can verify for compliance, facts, risks, pricing and strategy. This is especially important in RFPs, where a professionally sounding response may still omit requirements or contain unverified information.
For people working in B2B sales, bid management, presales, consulting, procurement, proposal marketing and technical teams. It will also benefit managers responsible for coordinating experts, ensuring documentation completeness and submitting proposals on time.
The use of generative AI in RFP teams is growing rapidly — an industry study published in 2026 indicated that 79% of teams were already using it. However, the advantage comes not from the tool alone, but from the ability to combine AI speed with human control, expert knowledge and compliance discipline.
You will develop a set of practical materials, including a proposal structure, a requirements register, a compliance table, response drafts, a list of questions and gaps, and a procedure for controlling the draft version. The result will be a repeatable way of working, not a one-off document.
- 12 hours
- Advanced
- Certificate on completion
- Access immediately after purchase
Full course
33 USD