Add-on Protect

Quality Guardian

An AI agent that continuously monitors your data for quality failures and surfaces them directly in Slack — with proposed corrections and one-click confirmation, so bad data gets fixed before it reaches a report or a decision.

Catch your first bad number

How it works

Catch it, flag it, fix it.

Quality checks run continuously

The Quality Guardian executes a configurable set of data entry tests against your live data — checking for missing values, out-of-range figures, format violations, referential integrity failures, and custom business rules. Checks run on a schedule you define.

Failures are surfaced to the right person

When a check fails, the guardian identifies the responsible data entry test owner and routes the alert directly to them in Slack — either in a shared channel or as a direct message. No support ticket, no email thread. The right person knows immediately.

Corrections are proposed and confirmed

The agent proposes a corrected field value alongside the alert. The owner can confirm, edit, or dismiss the fix directly from Slack — no system login required. Every action is logged, so there's a full audit trail of what was flagged, proposed, and resolved.

Example output

A quality failure, caught and resolved in Slack.

The guardian flags the issue, proposes a fix, and the owner confirms — without leaving Slack.

#data-quality-alerts

Quality Guardian Today at 7:14 AM

⚠ Quality failure Check #47 · deals.subscription_end_date

Missing required field detected

3 records in deals have a null subscription_end_date — expected for all active subscribers.

deal_id deal_name client_name subscription_end_date

DL-1042 Renewal Q1 Apex Software B.V. NULL

DL-1089 Upsell Plus Northfield Logistics NULL

DL-1103 Expansion FY26 Crestview Group NULL

Proposed correction

End dates pulled from open support tickets for each client — the CS rep confirmed the renewal terms in conversation with the client. Dates extracted from those ticket threads:

DL-1042 NULL 2026-01-15 · ticket #TKT-8821

DL-1089 NULL 2025-11-30 · ticket #TKT-8834

DL-1103 NULL 2026-03-08 · ticket #TKT-8857

Owner confirms

Lisa Anderson Today at 7:18 AM

Looks right — these were all migrated last week without the renewal date. Confirming.

Quality Guardian Today at 7:18 AM

✓ Resolved Check #47 · confirmed by Lisa Anderson

3 records updated · members.subscription_end_date · logged to audit trail

This is a visualisation of the planned Slack interaction — currently on the roadmap.

What you get

Continuous protection, without the overhead.

Configurable quality checks

Define the rules that matter for your data: required fields, value ranges, format constraints, cross-table consistency checks, and custom business logic. Checks run on a schedule and scale with your data volume.

Routed Slack alerts

Failures go directly to the person responsible for that data area — in a shared channel or as a direct message. No manual triage, no group emails. The right person is notified the moment a check fails.

AI-proposed corrections

For each failing record, the guardian proposes a corrected value based on surrounding data and business rules. Owners review and confirm — rather than hunting through the source system to figure out what the right value should be.

Full audit trail

Every failure, every proposed correction, every confirmation or dismissal is logged. You get a complete record of what was flagged, who resolved it, and when — useful for compliance, data governance reviews, and root cause analysis.

Who it's for

The right fit.

Platforms and operations teams where data quality failures have downstream consequences — inaccurate invoices, wrong reports, broken automations, or compliance exposure. If a bad value in a field can cause a real problem, the Quality Guardian is designed for that context.

Works best when you have defined data entry ownership — specific people responsible for specific data areas — and enough volume of records that manual spot-checking is no longer realistic.

Roadmap

What's coming next.

Next up

Priority field failure list

Instead of treating all failing checks equally, the guardian will generate a ranked list of the fields most frequently failing — weighted by failure rate, downstream impact, and how many records are affected. Gives teams a clear place to start when there's more to fix than time allows.

Coming later

Slack-native correction confirmation

The guardian will propose the specific corrected field value directly in Slack — and let the responsible owner confirm, edit, or dismiss the fix with a single interaction, either in a dedicated channel or a direct message. No system login, no ticket, no back-and-forth.

This is the interaction visualised in the mockup above.

Pricing

Implementation plus managed service.

The Quality Guardian pricing model is still being shaped. What we know is that it will involve two components: an initial implementation fee to set up and configure the checks for your data model, and an ongoing licence fee for running and managing the agent.

The licence component is likely to scale with the number of quality checks being actively monitored — so smaller, well-defined setups pay less than broad, multi-table coverage. We'll scope the exact structure together based on your context.

Implementation fee

Setup, configuration, and initial check definitions.

Licence fee

Ongoing managed agent, scaled by number of active quality checks.

Get a scope

Built and maintained by

The people behind the Quality Guardian.

Philip Boontje

Product Owner · Maintainer

Founder · Maxq Analytics

Philip originally built the Quality Guardian — designing the check architecture, the alert routing logic, and the Slack integration. He shaped the add-on around the real data quality challenges faced by B2B SaaS operations teams.

Sarah Thiébault

Maintainer & developer

Associate member · Maxq Analytics

Sarah now maintains and develops the Quality Guardian. She manages ongoing improvements, drives the roadmap forward — including the priority failure list and the Slack-native correction workflow — and is the main point of contact for the add-on post-implementation.

Conno Kuyt

Developer