Resources for operators and decision-makers
Practical material on designing, deploying, and governing AI systems inside real businesses — not theoretical hype.
Insights
AI & Operations Insights
Short, focused analyses on where AI creates leverage, reduces cost, and introduces risk across business operations.
- AI system design patterns
- Operational failure modes
- Human-in-the-loop strategies
- Cost vs. automation tradeoffs
Case Studies
Deployment Case Studies
Real examples of AI systems deployed inside organizations — including constraints, failures, and outcomes.
- Passenger assistance AI
- Automated intake systems
- Predictive reporting deployments
- Labor reduction workflows
Guides
Architecture & Governance Guides
Long-form guides covering AI architecture, data isolation, governance, and deployment controls.
- AI audit frameworks
- RAG vs. fine-tuning
- Approval & escalation design
- Regulatory considerations
Featured: AI Architecture Audit
A structured framework for evaluating where AI fits in your organization, what should be automated, and where human oversight is mandatory.
- Identify repeatable tasks
- Assess data readiness
- Map risk and escalation paths
- Prioritize automation ROI
Who this is for
- Founders & executives
- Operations leaders
- Technical decision-makers
- Compliance-aware teams
Looking for something specific?
We can share material relevant to your industry, constraints, or system goals.