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Field notes

Systems we've built and use every day

These are anonymized examples from our own practice — systems we built to solve our own project management problems and still run today. They're shared as field notes, not client case studies: proof of what works, drawn from doing the job.

Automotive · Multi-project

AI-powered project health scoring across a portfolio of concurrent engineering programs

Signals already emitted by Jira and Confluence — ticket velocity, blocked-time, milestone drift, meeting outcomes — are aggregated into a per-program health score with risk flags, replacing a manual weekly collection round.

Outcome

Cut weekly status reporting time by well over half and surfaced schedule risks that manual tracking had missed.

Energy Storage · Compliance

Automated compliance mapping for cybersecurity standards across product development

Requirements are mapped to evidence artifacts automatically as development work happens, so audit preparation becomes a review step instead of an archaeology project.

Outcome

Compressed compliance documentation from weeks to days while improving audit traceability.

Portfolio Management · AI Agents

Custom AI agent for cross-tool project data unification and natural language querying

An MCP-connected agent unifies Jira, SharePoint, OneNote, and spreadsheet data into one queryable layer — 'what slipped this week and why' is a question, not an afternoon.

Outcome

Portfolio status is now a natural-language query instead of a hunt across four tools.

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