FuturifyRFP Agent
Open dashboard
Internal product prototype

Find the right RFPs.
Keep every decision yours.

The RFP Agent is designed to find public-sector opportunities, qualify fit, assemble evidence-backed responses, and pause before Futurify makes a consequential move.

Open dashboard prototype See the operating loop

Illustration above · dashboard reads real data · no live portal or external-write connection

MERXCanadaBuysAribaMunicipal
Futurify approval gateExact action pausedArtifact v4 · external write locked
Initial procurement scopeCanada, beginning where Futurify works
  • Federal Canada
  • Ontario
  • British Columbia
  • Alberta
One operating loop

From notice to a response Futurify can actually review.

The interface follows the work in the order an operator needs to understand it. Every stage produces a visible record, decision, or artifact.

01

Discover everything

Scan authorized procurement sources, normalize each notice, and retain every opportunity—even one a particular company later filters out.

Every record kept
02

Match each company

Let each private company agent compare the complete shared market with that company's own capabilities, evidence, and boundaries.

Profile before pursuit
03

Build the evidence

Turn source documents into requirements, evidence links, missing information, and an explicit compliance matrix.

Evidence before confidence
04

Prepare the response

Draft from approved Futurify knowledge while keeping unsupported claims and unresolved decisions visible.

Versioned artifacts
05

Stop for approval

Bind approval to the exact artifact, attachments, destination, declarations, and action before anything consequential leaves the system.

Human gate required
Planned system coverage

Eight places the RFP Agent should remove repetitive work.

Each capability stays observable, reviewable, and subordinate to Futurify’s approval policy.

Keep every notice

Record each opportunity with its source and discovery time, including notices one company later filters from its own pursuit queue.

Match privately

Use each company's approved knowledge to recommend direct or adjacent opportunities while leaving the shared market intact.

Surface what changed

Keep original and amended documents, compare them, and make changed dates, requirements, or forms visible.

Turn documents into requirements

Separate mandatory, rated, legal, administrative, pricing, and submission instructions with source locations.

Ground every material claim

Link response language to approved Futurify evidence and mark inferred, missing, or restricted content clearly.

Make browser work observable

Show session health, progress, blockers, and the point where an authorized operator needs to take over.

Stop before consequences

Require approval for the exact artifact, destination, attachments, declarations, terms, and external action.

Replay every failure

Turn human corrections into regression cases and prove a proposed improvement before production promotion.

The control boundary

The agent can prepare the move. Futurify authorizes it.

Approval is not a general permission. It belongs to one immutable version, one destination, and one action. An amendment or material edit sends the work back to review.

  • Exact artifact and attachment versions
  • Approver identity and authority
  • Destination, declarations, pricing, and terms
  • Execution trace and submission receipt
Pending external actionWrite disabled
Response packageVersion 4
Approval checkpointWaiting for Futurify

Any material change invalidates this request.

Portal actionLocked
Evidence

A draft that shows its work.

Requirements stay linked to their source location. Material claims stay linked to approved Futurify evidence—or remain visibly unresolved.

Mandatory requirement Covered Rated requirement Evidence linked Declaration Needs owner
Evaluation

Improvement has to survive replay.

Corrections become controlled test cases. Proposed changes are measured against known failures before they can affect production work.

  1. 01
    Capture

    Pages, documents, outputs, decisions, and relevant versions.

  2. 02
    Sample

    Routine production review with extra attention on changed or risky work.

  3. 03
    Learn

    Human corrections become replayable failure cases, not hidden chat history.

  4. 04
    Prove

    Changes run against sandbox and regression cases before promotion.

Current checkpoint

See the operating model in the dashboard prototype.

Open dashboard