Status-Change & Slippage Alerter: Hear About Trouble Early, Not in Next Month's Review

The problem this kills

The worst project news always arrives late. A delivery date quietly slipped three weeks ago, a workstream went from green to amber to red across two updates, the budget tipped past its tolerance — and nobody flagged it until the monthly steering pack landed on the sponsor's desk. By then it's a fire, not a heads-up.

The status data was there the whole time. You collect snapshots every week or every period; the change between this snapshot and the last one is exactly the early-warning signal leadership needs. But eyeballing two spreadsheets side by side to spot which projects got worse is tedious, error-prone, and the first thing that gets skipped when you're busy. And when you do spot something, you don't want a robot blasting noisy alerts on every cosmetic wiggle — leadership tunes those out fast.

You don't need to be a developer to fix this. You need a tool that compares snapshots, surfaces only the material changes, and lets a human decide what's worth an alert.

What you'll build

A simple internal web tool. You import two things: your current project status snapshot and the prior one (CSV or a Google Sheet export). The tool lines projects up, compares them, and detects the changes that actually matter: a RAG status that worsened (green→amber, amber→red), a key milestone date that slipped beyond your tolerance, and budget or forecast crossing a threshold you set. It filters out the noise — tiny date nudges, immaterial spend, status that improved — and de-duplicates so the same unchanged condition is never raised twice.

The PMO opens a change review queue, sees each detected change with the before/after values side by side, edits the alert wording if needed, and clicks Approve (or dismisses it). Only on approval does the tool send the targeted notification to the right recipients via Resend, write the change to an immutable change log, and make everything available as a clean CSV export.

What's inside the Implementation Plan

The downloadable plan is a step-by-step file you paste into an AI coding agent. It opens by interviewing you about your business — how your status reporting works today, what your snapshot columns are named, how you encode RAG and milestone dates, what counts as a material change in your shop, who should hear about each kind of slippage, and your messy edge cases — and then it tailors the data model, the change-detection rules, and every later step to your answers. This is not a generic template; the agent reflects a short spec back to you and waits for your thumbs-up before it builds anything. From there it walks the agent through the snapshot import, the change-detection-and-dedup logic, the PMO review-and-approve queue, the notification send, the change log, and the CSV export — each step with a ready-to-copy prompt. There's also a fallback so you can build and run the whole thing today from sheets, with no integration to your PPM tool.

The governance it includes (this is the point)

This is real leadership-facing tooling, so it ships with the controls a PMO needs: login so only your team can use it, row-level security so you only ever see your own organization's projects, a complete audit trail of who reviewed, approved, edited, or dismissed which alert and when, a hard human-approval gate so no notification is sent until the PMO signs off on it, and duplicate guards keyed on project + change-type + period so the same condition can't be alerted twice. The AI drafts the alert; a person decides whether — and how — it goes out.

Who it's for

PMO leads, program managers, and project sponsors who already collect status snapshots and are tired of learning about slippage too late. If you can describe what "material" means in your portfolio, you can build this.

You've got this — start with the plan, paste the first prompt, answer the interview, and you'll see your first slippage alerts queued up for review the same afternoon.