Architecture patterns, not anonymous client theatre.
System patterns
See how the work moves.
Reference architectures for AI intake, research, monitoring, briefing, and operations orchestration, with explicit controls and human ownership.
Why patterns
Specific enough to inspect. Honest enough to trust.
Without permission to publish a verified case study, we will not dress a plausible scenario up as client proof. These pages expose the system design and the conditions it depends on.
AI Intake, Triage, and Routing Agent
A reference architecture for AI assisted intake, classification, information checks, routing, drafting, and human escalation.
Inspect pattern ↗02AI Research, Monitoring, and Briefing Agent
A reference architecture for source aware research agents that monitor changes, retrieve evidence, synthesize findings, and produce reviewable briefs.
Inspect pattern ↗03AI Operations Orchestration Agent
A reference architecture for AI operations orchestration across systems, with durable state, bounded tools, exception handling, and human control.
Inspect pattern ↗Reading the diagrams
Every arrow carries a contract.
A useful architecture names the input, output, owner, permission, failure path, and source of truth for every handoff. The boxes are easy. The contracts between them decide whether the system can be operated.
Each pattern therefore includes a flow, control layers, outcome measures, and suitability conditions. Those elements are starting points for discovery, not a claim that one design can be copied unchanged into every business.
Bring your own workflow
A reference pattern is useful. Your exceptions decide the build.
Show us a representative case and the systems it crosses. We will map the real boundary.
Discuss the workflow