AI Module · Complaint Management

AI-assisted feedback and complaint management

Complaint management from inbox to investigation in minutes. AI triages each complaint, and your team stays in control.
AI complaint management in ins2outs: complaint records with AI processing, clear ownership and human review required
  • ✓ AI summary and IMDRF classification
  • ✓ Reportability assessed with reasoning
  • ✓ Human review before every closure

The challenge

For medical device manufacturers, every product complaint starts with manual work

Someone has to read the email, open the attachments, decide what the complaint is about, classify it under IMDRF, judge whether it must be reported to a regulator, check it for cybersecurity relevance, and log it.

All of that happens before anyone starts investigating. It is slow and repetitive, it varies from person to person, and it is exactly where reporting deadlines are put at risk.

Complaints list with status, countries, product and cybersecurity severity

The solution

ins2outs turns incoming complaint emails into structured, pre-classified complaint records automatically

How it works

Your quality team starts with a complaint that is ready to review

Complaint workflow from New to Closed or Rejected, with review steps and version history
Connect a mailbox to each product

Choose where complaints are filed, which template they use, and who owns them. You decide which fields the AI fills and which your team completes.

AI reads every complaint

It analyses the email together with any PDF attachments, in the context of the product and how it is meant to be used.

A structured record is created

Each new complaint arrives with:

  • a clear summary of the issue
  • IMDRF and other categories
  • an assessment of whether it must be reported to a regulator, with the reasoning and a confidence level
  • a cybersecurity relevance flag
  • links to similar past complaints for that product
Handling starts right away

The owner is assigned and an investigation starts. The original email and attachments are kept on the record.

Your team stays in control

Complaints move through a dedicated workflow (New, Under Investigation, Closed or Rejected) and always need a human review before they are closed or rejected.

AI you can measure

Every AI-filled field is tracked

ins2outs shows you how often the AI’s classification was accepted without changes. That gives you hard evidence of its accuracy over time, so you can expand its role as you come to trust it.

Complaints analytics dashboard with SLA, volume over time, severity breakdowns and pending tasks

Why it matters

Spend expert time on investigation and judgement

Less manual triage

The AI does the first pass, and your experts focus on investigation and judgement.

Consistent classification

The same categorisation logic is applied to every complaint, every time.

Clearer reporting decisions

Every reportability assessment comes with its reasoning, so reviewers can confirm or correct it quickly.

Built for audits

The original email, attachments, AI analysis and review history are all kept with the complaint.

See patterns sooner

Automatic links to similar past complaints help you find recurring issues faster.

Live dashboards

Complaint volume by category, the number of complaints resolved within SLA, and how often the AI’s first pass needed no correction.

Pricing

All your complaints. One platform. One source of truth.

Complaints management is one module inside ins2outs, a compliance platform that covers quality, information security, AI management, and data privacy in a single connected environment.

*Minimum 5 users to start for any subscription plan. Volume discounts apply for organizations from 100 users.
** Scope and timeline are defined within the contract.
All prices are net prices.

 

Ready to automate complaint management?

Let AI do the first pass on every complaint so your experts spend their time on investigation. Book a 30-minute demo and we’ll walk you through complaint intake, AI classification, and the review workflow.