Build an RFP-response generator agent from your own content
Stand up a Copilot Studio agent that drafts tailored RFP responses by drawing on your organization's existing proposal library.
Research a prospect automatically and generate a tailored proposal without waiting for an inbound RFP.
More proactive proposals reaching target accounts, opening deals that would never have come through an inbound process.
Pick whichever of these AI tools you have — they're alternatives, not a sequence.
Copilot works differently from the others: with a paid Microsoft 365 Copilot license it's built right into the app above, no copy-pasting needed. Without a license, use it the same way as ChatGPT or Claude — in its own chat window.
Spend 15-20 minutes collecting genuinely recent, specific signals — a press release from the last quarter, open job postings that hint at where they're investing, a public statement from an executive about priorities — and paste the links and key facts into a Word doc.
Signals older than six months or so tend to read as out of touch rather than well-researched by the time the proposal lands.
Give Copilot the account research and your standard proposal template, and ask it to tailor the value proposition and use cases to what's known about this specific account, not a generic pitch.
Prompt idea:
Using this account research and our standard proposal template, draft a proposal for [account name] that speaks specifically to [the recent signals you found — an expansion, a public statement, a hiring push]. Keep our standard pricing and terms sections as-is.
The rep who owns the relationship should review and adjust the draft — adding anything from direct conversations the public research wouldn't know about, and removing anything that reads as generic.
Recheck any specific detail the draft cites about the account (a project, a hire, a public statement) against the source, since public information can be outdated by the time you send.
A tailored draft proposal referencing the target account's specific situation, ready for a rep to personalize and review before sending.
Step 3's rep personalization and step 4's fact-check are human judgment, not AI tasks. Step 2 earns its place tailoring the pitch to specific, recent facts about one account instead of sending a generic template.
Stand up a Copilot Studio agent that drafts tailored RFP responses by drawing on your organization's existing proposal library.
Build a Copilot Studio agent that ranks inbound leads by conversion likelihood using CRM and behavioral data, and routes the best ones to reps automatically.
Get practical help with AI consulting or ask about training courses for your team.