Solution · By problem
Respond to RFPs without burning a week per bid
Every tender is hundreds of pages of requirements plus the same answers you already wrote last month, buried in folders. While you dig, the deadline runs. That gets automated — and you bid on more deals with the same team.
The problem
The RFP lands, and the week disappears.
- Every bid starts the same: reading hundreds of pages to pull out requirements, deadlines, and annexes by hand.
- The answers already exist —you wrote them for the last bid— but they live scattered across folders, email threads, and Word versions nobody can find.
- Your best people lose days drafting the administrative part instead of sharpening the sections that actually score.
- Deals that fit go unanswered because there was no time: the deadline decides for you.
Cost of staying the same
Per Loopio’s 2026 benchmark, the average team spends 33 hours responding to each RFP: nearly a person-week per bid, most of it searching, copying, and rewriting what already existed. And every bid you don’t reach is revenue you never even fought for.
The solution
A system that reads the RFP and preps the draft; your team decides
- 1We connect your history —past proposals, technical docs, certifications— into your own knowledge base: your winning answers, findable at last.
- 2The system reads each new RFP, extracts requirements, scoring criteria, and required documentation, and builds the compliance matrix.
- 3It generates the draft grounded in your history —every claim comes from your documents, nothing invented— and flags the gaps that need a person.
- 4Your team reviews, sharpens the strategy, and signs. We leave it measured: hours per proposal, bids submitted, and wins.
What changes
What you stop losing
The average team spends 33 hours responding to each RFP (down from 35 the year before). That’s the work the system cuts: reading the document and the first draft.
RFP Trends & Benchmarks 2026 (Loopio with APMP, 1,500+ companies)
79% of proposal teams already use AI in the process (68% a year earlier), and the average win rate climbed from 43% to 45% — the biggest improvement in five years. Responding by hand stopped being the standard.
RFP Trends & Benchmarks 2026 (Loopio)
What we measure: hours per proposal, number of bids submitted with the same team, and win rate.
What we measure
Spec sheet
- Work it removes
- rewriting each tender by digging up answers you already wrote before
- Typical setup
- 3–4 weeks
- Input
- tender document (PDF)
- Output
- draft response assembled from your history, ready to review
- Works with
- PLACSPTED
- Can connect to
- SharePointGoogle DriveLLM with retrieval (RAG)Your CRM / bid manager
- What we measure
- prep time per tender% of content reused from historytenders answered on time
- Good fit for
- companies that bid on recurring tenders with a history of proposals
- Not a fit for
- one-off tenders with no prior history or repeatable criteria
Frequently asked questions
No — and distrust anyone selling you that. The system does the pick-and-shovel work —reading the RFP, extracting requirements, building the draft from your real answers— and your team brings the judgment: strategy, pricing, commitments. The difference is starting every bid 70% done instead of from a blank page, not submitting unreviewed text.
Yes. The system watches the sources where your deals show up —SAM.gov, TED, the portals of your sector— and alerts you to the ones that fit your profile before the deadline eats you. And the document-reading part works the same on a public tender as on a private RFP: requirements, scoring criteria, annexes.
Your history stays in your repository (SharePoint, Drive, or wherever it already lives) and the system retrieves from there, with permissions and traceability. Models are used via API under contracts that exclude training on your data, and if your industry demands it, it ships in private mode. Architecture decides security, not “the AI”.
Want it running in your business?
You’ve pinned the problem. We ship the fix and leave it measured.