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Business Case Maker — Multi-Agent Orchestrator

Turn a platform and a domain into a ready-to-build business case.

  • Built for pre-sales: the demo a prospect is shown, prepared in an hour instead of a week
  • Multi-agent orchestrator: a request + a domain → a ready-to-build workflow
  • Analyst agents read the target platform (nodes, APIs, UI) to ground every scenario
  • Domain researcher finds real business cases; scenario generator drafts the flow
  • Human-in-command: you pick the scenario, approve or edit, before publish
Screenshot 1Screenshot 2Screenshot 3Screenshot 4Screenshot 5Tap to enlarge
5 days → 1 hour
Demo preparation, end to end
40×
Acceleration on that path
Removed
Building the flow node by node, by hand
7
Orchestrated agents

This one exists because of how enterprise deals actually work. A prospect asks to see the platform doing their job, not a generic one, and someone spends most of a week building that demo — reading the platform, inventing a plausible scenario, wiring it up — for a meeting that may last forty minutes. Business Case Maker is a multi-agent orchestrator that turns "build me a demo for customer support" into a concrete, ready-to-build workflow — grounded in what the target platform can actually do. Analyst agents read the platform’s front-end, back-end, and UI; a domain researcher proposes a scored top-3 of business cases; a scenario generator drafts the full spec — steps, dialogs, decision logic — with every element mapped to the platform’s real node types; and a publisher ships the approved scenario as documentation. The human stays in command: picks the scenario and its size, approves or edits, before anything ships.

Grounded in the Platform’s Real Capabilities

Scenarios grounded in the platform’s real capabilities, not a wish-list

Three analyst agents read the actual platform — front-end nodes and fields, back-end APIs, execution model and constraints, and the UI itself (mapped from screenshots) — so scenarios are built on what the platform can really do, not on wishful thinking. The result is a capability map every downstream agent works within.

Research, Scored and Sized

A scored top-3, your chosen depth, and a fully node-mapped spec

A domain researcher proposes a top-3 of business cases scored by value × complexity, so the choice is decision-ready. You pick one and its depth — small, medium, or large — and the scenario generator drafts the full spec: steps, dialogs, branching logic, and state, with every step mapped to a real node type in the builder.

Human-in-Command, Then Shipped

Approve, edit, or regenerate — then it ships, documented

Nothing ships on autopilot: you approve, edit, or regenerate the scenario until it’s right — then a publisher agent ships the finished documentation to the team’s wiki, screenshots attached. Autonomy where it accelerates, human control where it decides.

Multi-Agent OrchestrationCodebase AnalysisWeb ResearchScenario GenerationHuman-in-CommandConfluence / Workflow API

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