Case studies

All cases below come from real delivery projects. To protect customer confidentiality, full company names and production-line details are withheld—contact us for the complete background.

PLATFORM

crusbro-agent SDK · Cross-industry agent platform

Multi-agentSandboxTiered memorySkills+ToolsUnified governance

Challenge: Business systems are fragmented, models and tools are hard to reuse, and there is no unified governance or audit trail—which makes scaling agents slow and expensive.

Architecture: Built on the crusbro-agent SDK with Supervisor/Worker multi-agent collaboration, sandboxed execution, tiered memory and the Skills/Tools protocol. Domain capabilities plug in as plugins, keeping business logic decoupled from models, storage and deployment.

Value: Agent launch time drops from ~8 weeks to ~2 weeks; tools, models and prompts upgrade independently; every step is covered by an auditable, replayable evidence chain.

"Developer interfaces, runtime governance and a safe sandbox come together in one SDK—our team can focus on the domain." — Platform architect
−75%agent launch time
100%replayable tool calls
4 tiersof memory
ROBOT AGENT

Robot Agent · Edge orchestration with controlled execution

Challenge: Business apps call drivers directly, leaving no auditable boundary between the LLM and safety controls.

Architecture: Application → crusbro robot-agent → Skills/Tools → ROS2 capabilities / HAL; high-risk actions route through human-in-the-loop gates.

Value: Plans are replayable; high-risk actions require dual review; chassis and sensors become swappable through the HAL.

"Robots and agents now share the same audit trail." — Robotics tech lead
OPC AGENT

One-Person Company (OPC) Agent · Solopreneurs and small teams

Challenge: Many processes, many hand-offs, little traceability—a single operator struggles to balance throughput and proof.

Architecture: The One-Person Company (OPC) Agent combines workflow orchestration with cross-system Skills and automatically consolidates execution evidence.

Value: ~50% faster end-to-end cycle time; cross-system actions stay replayable.

"One person can run a full delivery loop end to end." — Independent consultant
FREIGHT AGENT

Freight Agent · Cross-organisation collaboration

Challenge: Booking, customs, trucking and loading data is scattered across inboxes and spreadsheets; anomaly triage is slow.

Architecture: The Freight Agent orchestrates booking, customs, trucking and loading Skills with freeze-to-send approval and end-to-end evidence.

Value: ~58% faster anomaly triage; every step is auditable.

"What the approval preview shows is exactly what gets sent." — Head of operations
DRAWING MODEL

Manufacturing · 3D drawings, BOM and process disassembly

Challenge: Mixed native CAD and scans; 3D assemblies out of sync with 2D drawings; BOM repeatedly realigned between design and ERP; routing re-keyed with slow change propagation.

Architecture: Drawing foundation model (3D/2D + BOM) → review workbench (BOM diff, routing draft) → MES / process-route APIs; model version, primitive and field lineage land in the audit store.

Timeline: 8-week pilot, 16-week line rollout (incl. data governance).

ROI: ~74% less process-prep labor; ~31% fewer monthly rework tickets (same-batch baseline).

"We can open any field back to the source graphic—far fewer arguments in meetings." — Process manager
OPC × FREIGHT

Logistics · Freight forwarding mail and documents

Challenge: Night-shift staff re-handle the same emails; booking and customs data scattered across mailboxes.

Architecture: Multi-agent stack + freeze-to-send approval queue; project-scoped file vault.

Timeline: 6 weeks joint integration, 4 weeks pilot.

ROI: −2 clerical FTE (night shift); ~58% faster anomaly triage.

"The approval preview is exactly what goes out." — Head of operations
VISION

Electronics manufacturing · Visual re-inspection

Challenge: High SKU churn; rule-based vision is expensive to maintain.

Architecture: Edge inference + central training queue; defect taxonomies hot-updated.

ROI: Miss rate 1.2% → 0.35%; ~35 cold-start samples per new SKU.

"We cut over the same night as the line change." — Quality manager

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