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AI EMPLOYEESQUALITY

Quality management with AI: evidence and complaints in order

Before an audit, most of the time goes on searching for evidence that already exists. And complaints get resolved but are rarely logged in full, so nobody sees what keeps going wrong.

See the 2 AI employeesAll AI employees
4.8 from 127 reviews
Kiwa ISO 9001 certification markKiwa ISO 27001 certification markISO 9001 & 27001
2 AI employees for quality

An AI employee for quality keeps track all year of which evidence belongs to which requirement and logs complaints so they can be counted. The audit, the judgement on a control and the cause of a complaint stay with your quality manager.

  • Hans · Audit Preparer

    Quality · Custom implementation

    Automate audit preparation with AI

    Collects the evidence an audit asks for, flags what is missing and keeps track of the actions.

    Connects toSharePointJiraTeamsDatabases

  • Eva · Complaints Registrar

    Quality · Example application

    Automate complaint logging with AI

    Records complaints and incidents in full, monitors how they are handled and makes patterns visible.

    Connects toZendeskJiraSharePointTeams

Also relevant for quality

These AI employees sit with another department, but touch the same work.

Task by task

This is the starting point for each task. Exactly where the line sits for your team, we agree together during setup.

  • Automate audit preparation with AIHans · AI employee Audit Preparer

    Runs automaticallyLinks evidence to standard requirements, flags gaps and outdated documents and assigns actions to the process owner.

    A person decidesThe audit itself, and the judgement on whether a control works.

  • Automate complaint logging with AIEva · AI employee Complaints Registrar

    Runs automaticallyRecognises complaints, logs them in full and tracks the handling deadline.

    A person decidesEstablishing the cause and resolving the complaint. It only suggests a category.

You stay in control.

Not every decision should be made automatically. For each workflow, we set out:

  • What can happen automatically.
  • What is put forward for approval first.
  • When a person is brought in.
  • What information is stored.
  • How actions are logged.
Integrations

The AI employees on this page work with these packages, among others. Is your system not listed? We can connect any system, even if there is no standard integration.

Frequently asked questions

How does AI help with ISO 9001 and ISO 27001?

With preparation and upkeep: linking evidence to each requirement, flagging outdated documents and records that have stopped, and assigning actions to the process owner. The audit itself and the judgement on whether a control works stay with your auditor and quality manager.

Does an AI employee know which evidence belongs to which requirement?

Once it has been set up, yes. We make that link together with your quality manager, because it differs per organisation. A standard mapping would give false certainty.

Can AI recognise a complaint when the word complaint is not used?

Yes, from tone and content. Many complaints start as a question or a remark and are never logged. The Complaints Registrar records them, suggests a category and tracks the handling deadline. Establishing the cause is expert work and stays with a person.

Does this also work for customer audits and supplier questionnaires?

Yes. That is often the same evidence in a different format, and that is exactly where a lot of duplicate work goes.

Do we get another system to maintain?

No. Documents stay in SharePoint or OneDrive, records in Jira or your own database and complaints in your ticketing system. The AI employee makes the connections; no second archive is added.

Related services

AI Opportunity AuditKnow where the opportunity is before anything gets builtWhat does an AI employee cost?What drives the price, with an estimate for your situationAI implementationThe foundation first, then the first process, then expand
How to put this to work

  1. 1A short callTogether we look at your process and your systems, and which task is the best place to start.
  2. 2Set up on your rulesIntegrations with your own systems, and agreeing what may run automatically and what a person approves.
  3. 3Measure and adjustFirst alongside your team, only then on its own. We look at what it delivers and adjust.
What does an AI employee cost?Explore the opportunity first
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