Your project management tool is a second job. Delivery & Ops Automation hands that job to the AI your team already uses — BYOAi: Claude, Copilot, or ChatGPT. The board stays current, due items surface themselves, and the status update writes itself.
Built and run daily on our own multi-entity operation — every feature is self-tested before it ships.
Daily huddles and status meetings that relay what's already written down. Task boards that are only as current as their last manual update. Project updates reassembled from meeting notes, AI summaries, and task lists that already say the same thing. For anyone running multiple projects, entities, or engagements, the administrative overhead compounds.
Infographic: three different AI assistants used by different people in different places — Claude used by a PM at HQ, Copilot used by an engineer working remote, and ChatGPT used by a consultant at a client site — all connect into one shared pipe that fans out to the same system of record: the TASKS.md board of record, an append-only decisions.md log, and a dated status history. The files render into a kanban board with To do, Doing, and Done columns, and from the board come live custom dashboards, a daily brief listing what is overdue, due, or blocked, and a drafted status update.
A simple, open structure — board, decision log, status history — that both people and AI agents read and write. Boards render from the files, never the reverse.
Claude, Copilot, ChatGPT — open conventions mean each person’s assistant follows the same rules. No new tool for your team to learn.
A daily brief flags only what’s overdue, due, or blocked. Status updates draft themselves from the done history. Monthly review decks render straight from source.
Run a company top-down: one board of record, every workstream visible, a morning brief that only speaks up when something needs you.
Bill delivery, not status administration. Per-engagement project records with client-ready status packs generated from the work itself.
One system across the portfolio. Decision logs and dated completion history that hold up in diligence — from day one.
Built and run daily by a CPA with nearly two decades consulting to and leading multi-entity companies — on a live multi-entity operation. The approach isn't ours alone: it extends the MIT-licensed Interpretable Context Methodology published by Van Clief & McDermott, so you can read the research behind it, not just our claims. Records are structured for auditability from day one: append-only decisions, dated completion history, everything tied to source. Read the full write-up — what actually runs, what it's built on, and where it breaks.
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