RFP Radar and RFP Go/No-go Decision Tool BidBetter

When we tested RFP Radar against Canada's live federal tender data, searching "facility management" returned zero results. We were surprised! Then, searching "minor repairs" returned fourteen active government contracts — the same kind of work, filed under language most outside government might think to use. We learned something.

That language gap is real and it's the kind of mismatch that costs businesses contracts they're qualified to bid on and win.

Finding that gap is only half the problem, though. The harder, more expensive question — should we actually bid on this? — is one no search engine answers. RFP Radar and BidBetter are two connected tools built to answer both questions: search the way buyers actually write, then assess go/no-go feasibility the way an experienced consultant would..

What each one does

RFP Radar searches Canada's open federal tender data directly — the same information published on CanadaBuys, but searched the way a business actually thinks about itself, not the way government buyers happen to phrase a requirement. A user types what their business does, sees matching live tenders, and can tell at a glance whether a match came from the tender's title or buried in its description.

BidBetter picks up where search leaves off. It's a structured RFP go/no-go assessment — it ingests live RFPs, extracts mandatory requirements, rates delivery readiness and commercial attractiveness and produces a clear management recommendation: pursue this RFP, pursue it conditionally, or walk away.

How they connect

RFP Radar and BidBetter connect by clicking "Assess this opportunity" on any RFP Radar result. The BidBetter interface opens with the issuer's organization, title, and closing date fields populated. Once the live RFP is uploaded, BidBetter leads the user through a capability and commercial assessment that produces the go/no recommendation.

The AI developed process removes friction, but it doesn't - and shouldn't - remove the decision.

Why this beats the traditional approach

Traditional RFP sourcing means manually watching tender boards, guessing at search terms, and assessing fit on instinct or a spreadsheet that lives in someone's inbox. It's work consultants and staff get paid for.

RFP Radar and BidBetter don't replace judgment — they make it repeatable and visible, and they catch real, verifiable gaps a manual search would miss.

FIND RFPs WITH RFP RADAR

How AI built these RFP tools

Both apps were built using Claude, integrated with Replit's coding agent — but the more important part isn't the code, it's the discipline around it. Every assumption was tested before being built on: whether a government data field was reliably populated (often it wasn't), whether an AI-generated search term actually surfaced real results (most didn't — only about one in eight), and whether a plan matched what was actually being requested before any code ran. AI wrote far more plans and did far more analysis than it wrote final features.

What leaders can take from this

The lesson isn't "AI builds apps fast," though it does. It's that AI is most useful when it's forced to show its reasoning and get checked — the same standard you'd hold a sharp analyst to. Validate the boring, structural assumptions before adding anything clever on top. Let AI draft the plan, but read it before approving it. And treat a confident-sounding AI answer with the same skepticism you'd want your board applying to any other untested claim — because, as this site's writing has covered before, AI gets the data wrong sometimes too, and the only real defense is checking before you build.

Jim Crocker is an AI governance consultant and board director. He writes about what boards and senior executives need to know about AI at jimcrockerai.com.