The AI platform to transform your proposal process
Never lose a week to conflicting schedules
- Kickoff starts with work already in motion
tasks and owners are already assigned. - Content gaps are flagged upfront
so clarifications go out immediately. - Week one becomes progress, not coordination
the team starts executing on day one.
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Backed by world-class partners
























Made for everyone in the team
Common questions
General
What is Trampoline AI?
Trampoline AI is an AI project manager for proposals. It turns complex RFPs into organized workflows, assigns the right experts, pulls answers from your company’s real knowledge, and drafts responses your team can validate.
Instead of a chatbot guessing in the dark, Trampoline understands your RFPs, your services or products, analyzes your past proposals, evaluates constraints, and uses that context to help your team respond up to 82% faster with the best content quality.
Who should use Trampoline AI — and who shouldn’t
Trampoline is for teams who deal with real RFP work: long questionnaires, detailed requirements, security forms, technical questions, and committees of SMEs who all need to contribute.
That usually means pre-sales, proposal managers, sales engineers, solution architects, and business development leaders in B2B service or software companies.
If RFPs are a recurring part of your sales cycle—and you need to respond faster without sacrificing accuracy—Trampoline will feel like a superpower.
Who it isn’t for:
If you only answer a few lightweight RFPs a year, or your proposals are mostly marketing fluff you can write in an afternoon, Trampoline is overkill. Tools like ChatGPT or Copilot are enough for that.
Trampoline shines where proposals are complex, repetitive, and high-stakes.
How does Trampoline AI differ from ChatGPT or CoPilot for proposals?
ChatGPT and Copilot are great writers, but they don’t manage proposals.
Trampoline does.
Trampoline reads the entire RFP, breaks it into tasks, assigns the right experts, and pulls answers from your company’s actual knowledge, not the public internet. As your team validates answers, Trampoline automatically updates your knowledge base and reuses it across future proposals.
It also handles the work the generic tools can’t:
workflow, SME assignment, versioning, compliance tracking, and collaboration.
ChatGPT/Copilot help you draft paragraphs.
Trampoline manages the entire proposal process, keeping your company’s knowledge current and sharp over time.
How long does it take to respond to an RFP with Trampoline?
Most teams see their proposal time cut in half, and many report reductions of 70–80% once their knowledge is in the system. A 80-hour RFP can often be turned into a strong first draft in under a day or two.
The reason isn’t magic... It’s workflow.
Trampoline breaks the RFP into tasks, assigns the right SMEs, drafts compliant answers from your company's knowledge, and keeps everything organized. Your team spends its time reviewing and refining, rather than starting from scratch.
Does Trampoline AI work with our existing tools?
Yes. If you can open it in a browser, Trampoline can work with it. Word, Excel, PowerPoint, PDFs, webforms, intake portals - your team keeps using the tools they already know.
Trampoline simply reads the content and organizes it into your workflow.
How does the AI + expert workflow work?
Trampoline reads the RFP, breaks it into clear tasks, and drafts answers using your company’s knowledge. Each task is automatically assigned to the right subject-matter expert.
Your experts don’t start from a blank page—they review the draft, add missing context, and approve the final answer. As they do, Trampoline learns from their changes and updates your knowledge base for the next RFP.
The result is a tight loop:
AI handles the heavy lifting, experts handle the judgment.
What types of RFPs or documents does Trampoline handle?
Trampoline handles any qualitative proposal or questionnaire: RFPs, RFIs, tenders, security questionnaires, technical questionnaires, and due-diligence forms.
If your team can open it in a browser — Word, Excel, PDFs, PowerPoints, web portals — Trampoline can read it, break it down, and turn it into tasks for your experts.
How does Trampoline capture institutional knowledge?
Every time your team reviews or improves an answer in Trampoline, the system saves the validated version and links it to the right concepts. You don’t have to maintain a separate knowledge base—Trampoline builds it automatically as you work.
Over time, the AI learns your products, constraints, and preferred language, so each new proposal gets faster and more consistent, even as team members come and go.
Simply said: Trampoline captures knowledge as a side-effect of doing the real work. No extra documentation effort. No side systems. No after-the-fact cleanup.
What is "context engineering"?
“Context engineering” is the idea that great proposal answers don’t come from clever prompts — they come from giving the AI the information relevant to the right context.
Instead of asking the AI to guess, Trampoline loads it with your products, past wins, constraints, expertise, tone, and positioning. That’s the stuff that actually makes an answer correct, credible, and convincing.
Trampoline collects and maintains that context automatically as your team works. Your experts fill in only what the AI can’t know.
So instead of spending hours writing or explaining things to an AI, you get answers that already sound like your company—and are already 95% right.
That’s context engineering:
Stop prompt-hacking, start giving the AI the truth of your business.
Still have questions?
AIs are only as good as the context they’re given. Your edge lies in your people, not in your documents.
Trampoline helps your experts surface what they know quickly and turn it into clear, usable intelligence.
Edouard Reinach, CEO of Trampoline AI