Insights & thinking
Practical perspectives on AI strategy, engineering, and deployment — from the team that ships AI to production in 90 days.
Radiology AI Agents: Beyond Image Classification to Report Drafting and Workflow
Explore multi-step agentic AI in radiology: autonomous report drafting, workflow orchestration, and production deployment strategies for imaging departments.
Red Teaming AI Agents: A Production Security Playbook
Engineering-first guide to red teaming AI agents before production. Vulnerability mapping, attack strategies, and governance frameworks for agentic systems.
Revenue Management AI for Hotels: Dynamic Pricing Beyond Traditional RMS
Explore how AI-powered dynamic pricing transforms hotel revenue. Learn agentic workflows, real-time forecasting, and 35% RevPAR gains beyond legacy RMS systems.
Rolling Back an AI Agent: Incident Response Patterns for Agentic Systems
Engineering playbook for safely reverting failed AI agent deployments. Patterns, architecture, governance, and production rollback strategies.
Scaling AI Across Mid-Market Portfolio Companies on a Tight Budget
Deploy production AI across portfolio companies without massive budgets. Learn cost-effective agentic workflows, ROI sequencing, and 90-day deployment strategies.
Secrets Management for AI Agents: API Keys, Tokens, and Runtime Isolation
Secure API keys, tokens, and credentials for production AI agents. Master runtime isolation, vault strategies, and zero-trust architectures for enterprise deployments.
Shadow Mode Rollouts for AI Agents: A Safer Path from Pilot to Production
Master shadow mode rollouts for AI agents. Learn how to validate agent performance in parallel with humans before full cutover—the safest path to production.
Single-Agent vs Multi-Agent: When to Split Your AI System
Architectural decision framework for choosing between single-agent and multi-agent AI systems. Latency, cost, governance trade-offs for production deployments.
Task Decomposition for AI Agents: How to Break Down Work That Actually Gets Done
Master task decomposition for AI agents. Learn how to break complex work into executable subtasks for reliable, production-ready automation.
Testing AI Systems: Unit Tests, Evals, and the Regression Problem
Learn how to test AI systems beyond traditional unit tests. Master evals, regression detection, and production-ready testing strategies for AI agents and LLMs.
Tool Use Patterns for Enterprise AI Agents: Beyond Function Calling
Master reliable tool-use interfaces for production AI agents. Learn design patterns, governance, and real-world implementations beyond basic function calling.
Treasury Operations AI: Agents for Cash Forecasting, FX, and Reconciliation
Deploy AI agents for treasury operations: automate cash forecasting, FX hedging, and reconciliation. 90-day production deployment. Engineering-first guide.
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