A few concrete examples of how I design and ship automation and decision systems: signal → context → decision.
These are anonymized versions of real systems I’ve built for teams who care about reliability, guardrails, and adoption — not just one-off automations.
Three examples that show how I think about AI, automation, and decision systems.
A Slack-based triage assistant that pulls customer context from Salesforce and Jira, ranks signals, and returns a structured summary for faster, safer decisions.
A framework that turns subscription change requests into validated, auditable updates — with automation where it’s safe and human review where it isn’t.
Monitoring that detects degradation in visibility and conversion early, routes it to the right owner, and reduces alert fatigue through smarter thresholds.
I work with leadership and operations teams who need automation and AI that’s safe, observable, and actually used.
