Complaint management with AI: fast customer service and an ombudsman that learns
Complaints arrive by e-mail, on review sites, by phone and on social media, and each channel has a different spreadsheet. The responsible team is slow to answer because it does not know the case is theirs. Leadership sees the problem only when it becomes a public crisis.
Complaints and customer service with AI, step by step
All channels in one place
The agent receives complaints from e-mail, WhatsApp, forms and reputation sites and creates one case per customer, without duplicates.
Classification and routing
Each case is classified by topic, severity and responsible team and enters a Pipe with a deadline. The SLA chases whoever is late.
A reviewed reply
The agent drafts the reply to the customer with the history and the agreed solution. Sensitive or public cases go through the owner's approval before going out.
Root cause for management
The agent groups similar complaints and shows leadership which topics are growing fastest, where they come from and which process needs to change.
Less repetitive work. More control.
- No complaint without an owner
- Response deadlines tracked closely
- Consistent replies across all channels
- Leadership seeing the cause, not just the volume
Systems used in this solution
Ready-made AI teams for this work
WhatsApp customer service
Customers write at 11 p.m. and on Sundays. This team replies in seconds, with your prices and policies, and calls a person when it should.
Help desk support team
It reads each ticket, finds the answer in your docs and past replies, and drafts a response your agents can send or improve.
AI phone receptionist
It answers the phone, books the visit in your calendar and sends your team a short note about every call.
Clinic scheduling team
Patients book and confirm on WhatsApp, reminders go out on time, and cancelled slots are offered to the next patient on the list.
Online store support team
It looks up the real order in Shopify or WooCommerce and answers tracking, return and exchange questions in seconds.
Customer success team
It reads usage, tickets and CRM notes every week and tells your team which accounts need a call, and why.
Questions about complaints and customer service with AI
Does the AI reply to public complaints on its own?
We recommend it does not. The agent drafts the reply and a person approves before publication. You decide the level of autonomy per channel.
Does it work for a regulated ombudsman function?
Yes. Deadlines, protocols and records can follow the requirements of your sector, with a full audit trail of every case.
Does it integrate with our support system?
Yes, with Zendesk, Movidesk, Freshdesk and others. Cases stay in the current system, with the agent working inside it.
Is the data of people who complain protected?
Yes. Access is by permission, data follows rules such as Brazil's LGPD and sensitive cases can be restricted to a few people.
