CAPA Effectiveness Verification Scheduler

The problem this kills

In most quality systems, a CAPA gets "closed" the moment the corrective actions are implemented. Someone updates a spreadsheet, ticks a box, and moves on. But implementing an action is not the same as fixing the problem. The whole point of effectiveness verification is to come back later - after enough time has passed, or after enough new units have run through the process - and check that the issue actually stopped recurring.

That follow-up is exactly the step that quietly slips. The verification date lands in a calendar nobody watches. The verifier is never reminded. Evidence is gathered casually, if at all. And when an auditor asks "show me how you confirmed this CAPA was effective," the answer is an embarrassed shuffle through emails.

This tool makes the verification step impossible to skip. Every implemented CAPA gets a scheduled verification - time-based ("90 days after implementation") or count-based ("after the next 50 units / 5 lots"). The verifier gets reminded. They submit evidence and a result. And a human quality manager - never the AI - decides whether the CAPA closes as effective or reopens as not-effective.

What you'll build

A small, private web app for your quality team:

• An intake that loads your implemented CAPAs (CSV, Google Sheet, or your CAPA lifecycle tool) with their verification method, criteria, and the trigger - a date/window or a sample count.
• A scheduler that turns each CAPA into a pending verification round with a clear due condition.
• Automatic reminders to the assigned verifier when a verification comes due.
• A verifier screen to record what was observed, attach evidence (files/photos), note whether the problem recurred, and propose effective or not-effective.
• A quality-manager approval gate: review the evidence, then approve "effective" (close) or "not effective" (reopen with a reason and escalate).
• A clean verification log you can export as CSV for your audit trail.

What's inside the Implementation Plan

• A discovery interview that runs first. The plan opens by having the AI agent interview you about your CAPA process - your CAPA numbering, your verification methods and criteria, how you decide time-based vs sample-based triggers, your volumes, and your messy exceptions. It reads a short tailored spec back to you for a thumbs-up before building anything, so the tool fits your quality system - not a generic template.
• A data model shaped around CAPAs, verification rounds, evidence, and decisions.
• Step-by-step build instructions, each ending in a copy-paste prompt for your AI agent.
• Time-based and count/sample-based verification triggers, both supported.
• A "not effective" path that reopens the CAPA with a required reason and tracks recurrence.
• A duplicate guard keyed on CAPA-number + verification-round so the same check can't be logged twice.
• A "No API yet?" fallback so you can run entirely off a spreadsheet today and export back to your system of record.

The governance it includes (this is the point)

• Login so only your quality team can open the tool.
• Row-level security so each organization only ever sees its own CAPAs and verifications.
• A complete audit trail - who scheduled, who verified, who approved or reopened, and when.
• A hard human-in-the-loop approval gate - the AI drafts and schedules, but only the quality manager approves effective/not-effective. The AI never auto-closes a CAPA.
• Duplicate guards so the same CAPA + verification round can't be processed twice.

Who it's for

Quality managers, QA/QC leads, and compliance owners who want CAPAs to actually stick - not be closed optimistically. If you live in ISO 9001, IATF 16949, FDA/GMP, or any audited quality system and you've ever sweated an auditor asking "prove this CAPA was effective," this is for you.

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