The Creative Origin / BackOfHouseOS

Case study / public-safe artifact

Revenue Desk

A governed AI workflow layer for enterprise RFP intake, built as workflow infrastructure rather than a chatbot, document summarizer, model wrapper, or autonomous agent.

Status
Working internal prototype and governance-ready pilot package.
Posture
Read-only, human-reviewed, and audit-aware.
Measurement
Proposed pilot KPIs, not audited outcomes.
Boundary
Public-safe summary with private details omitted.

Guided module

Inspect the case study one layer at a time.

This guided view uses the same public-safe claim boundary as the full case study.

01 / The Problem

The problem was fragmented intake work, repeated search, context reset, and slow response cycles.

Revenue Desk responded to fragmented intake work across multiple internal systems, repeated searches for prior materials, and workflow friction that reset context during response work.

  • Fragmented RFP intakeMultiple internal systems and repositories were involved.
  • Repeated searchTeams repeatedly searched for prior pitches, reference materials, pricing context, and examples.
  • Context resetThe workflow created context reset and avoidable friction.
  • Slow response cyclesResponse work slowed when context had to be reconstructed.
Step 1 of 6