Live AI tools, assessment scorecards, and downloadable playbooks — all free, no friction. The same frameworks I use in client engagements, available to try before you ever talk to me.
12 questions. Find out where your ops sit on the AI readiness curve.
Run the scorecard →Paste any manual process. Get an automation score and action plan.
Open analyzer →Input your GMV and fraud rate. Get your automation ROI in 2 minutes.
Run calculator →The full Agentic Operations Intelligence framework as a slide deck.
Open the decks →Paste any manual workflow. An AI agent scores it for automation potential and returns a prioritized action plan with effort/impact matrix.
12 questions across 5 dimensions of operational intelligence maturity. Get a scored report with gap identification and next-step recommendations.
Input your GMV, fraud rate, manual review cost, and team size. Get a projected ROI for agentic fraud automation with a 30/60/90 roadmap.
Describe your current tech stack and business context. An AI agent identifies architecture gaps, modernization opportunities, and AI readiness blockers.
Describe your IoT platform, connected devices, alert volume, and false positive rate. Get an architectural assessment and a path to predictive operations.
Paste a manual workflow and get an automation score, pain point analysis, and ranked opportunities.
12 questions across 5 dimensions. ~3 minutes. Results scored live and interpreted by AI.
Enter your numbers. Get a projected ROI for agentic fraud automation with a 30/60/90 roadmap.
Describe your stack and get a maturity score, critical gaps, modernization sequence, and AI blockers.
How to build autonomous systems that detect anomalies, investigate context, and take corrective action — across fraud prevention, industrial IoT, and SaaS ops.
▸ Open the PlaybookThe business case for replacing manual review queues with agentic fraud intelligence — with real numbers from Amazon Marketplace at scale.
▸ Read the DeckThe architectural pattern for moving from threshold-based alerting to ML anomaly detection and agentic corrective action in industrial IoT environments.
▸ Read the DeckThe same frameworks I deploy in client engagements. Read it, fork it, run it yourself — or hire me to deploy it for your team.
Context, rules of engagement, and operating playbooks for autonomous operations intelligence systems. The PROMPT layer.
github.com → agentic-ops-playbook ↗Reference implementation of a multi-agent fraud investigation pipeline — anomaly detection, evidence gathering, and autonomous decisioning with HITL gates.
github.com → fraud-detection-agent ↗Edge-to-cloud telemetry pipeline with ML anomaly detection, predictive maintenance agents, and automated corrective action triggers.
github.com → iot-ops-intelligence ↗5-domain Operational Intelligence Readiness Assessment framework — scoring rubrics, gap analysis templates, and roadmap generator.
github.com → oi-assessment-toolkit ↗