Key Risk Indicator (KRI) Threshold Monitor

The problem this kills

Most risk registers are an annual ritual. You score a risk "high," write a mitigation, and then... nothing watches it until next year's review. By the time a risk actually materializes - the overtime that signals burnout, the creeping complaint rate, the failed-login spikes, the days-sales-outstanding that quietly balloons - it's already a problem, not a warning.

Key Risk Indicators are supposed to fix that. They're the leading metrics tied to each risk, with thresholds that turn amber before they turn red. But in practice they live in a tangle of spreadsheets nobody updates, with no alerts, no history, and no way to tell a real breach from a data glitch. So the early-warning system never warns anyone.

What you'll build

A private, login-protected web app that turns your KRIs into a living monitor:

• Define each KRI: the metric, the risk it's linked to, its measurement frequency, its data source, and its green/amber/red thresholds - including whether higher is worse (like complaint rate) or lower is worse (like cash on hand).
• Enter readings each period, or import a batch from a CSV or Google Sheet.
• The tool automatically scores every reading green/amber/red and flags breaches.
• The risk owner reviews each flagged breach, confirms it's real (not a sensor hiccup or a typo), and chooses a response or escalation before it's logged as an official breach event.
• A Resend email alerts the owner the moment a breach needs their attention.
• Trend charts for each KRI so you can see drift before it becomes a breach.
• One-click CSV export of the full time series and the breach log.

What's inside the Implementation Plan

The plan is a single file you paste into an AI coding agent. It walks the agent through building the whole tool, step by step, each step ending with a ready-to-copy prompt.

Crucially, the plan opens by interviewing you about your business - your current process, the systems and spreadsheets you use, exactly how your metrics are named and measured, your typical and peak reading volumes, who owns which risk, and your real approval rules and edge cases. It reflects a short tailored spec back to you for a thumbs-up, then shapes the data model, the threshold logic, and every later step around your answers. You get a tool fitted to how you actually work, not a generic template you have to bend to.

Inside you'll find: the discovery interview, the exact database design, the threshold-scoring logic (with higher-is-worse / lower-is-worse direction handled correctly), the breach-confirmation workflow, the Resend alerts, the trend views, and the CSV import/export - plus a "No API yet?" path so you can build the whole thing today with just a spreadsheet, no integration required.

The governance it includes (this is the point)

This isn't a toy dashboard. The plan builds in the controls a risk function actually needs:

• Login so only your team can see or touch the data.
• Row-level security so each organization only ever sees its own KRIs and readings.
• A complete audit trail - who entered which reading, who confirmed which breach, what response they chose, and when.
• A human-in-the-loop gate: the AI flags a possible breach, but nothing becomes an official breach event until the risk owner reviews it, confirms it's real, and approves the response. The machine drafts; a person decides.
• Duplicate guards so the same period's reading for the same KRI can't be logged twice and quietly skew your trend.

Who it's for

Risk managers, quality and compliance leads, and operations professionals who want a real early-warning system - leading indicators that alert them mid-period - instead of a risk score they only revisit once a year. If you can use a spreadsheet, you can build and run this.

You've got this - paste the first prompt and let the agent interview you.