How AI Is Revolutionizing Complaint Resolution in Housing Societies
By Amit Khetariya — 2026-09-24
"revolution" is a big word, but AI has genuinely changed one part of complaint resolution: complaints now arrive clear, categorised and ready to act on.
In short: "revolution" is a big word, but AI has genuinely changed one part of complaint resolution: complaints now arrive clear, categorised and ready to act on. Combined with owners, deadlines and escalation, that makes resolution noticeably faster. This article covers the old challenges, the AI tools, how myKutir's process works, an example, mistakes to avoid and a step-by-step plan.
What were the challenges of traditional complaint resolution?
- Complaints through phone calls, chat messages and the office register.
- Descriptions too short to act on.
- No clear owner or time limit.
- No way for residents to see progress.
- No record of how problems were fixed.
Which AI tools help?
- Complaint draft assist: turns a rough note into a clear complaint with a suggested category.
- Notice search: answers common questions, such as "when is the water supply back?", from published notices, so fewer complaints are needed at all.
- Notice writing assist: helps the committee announce a fix to everyone affected at once.
How does myKutir's process work?
Complaints go to an owner by category, with a deadline. Holds pause the clock with a reason. Overdue complaints escalate to the committee. Vendor jobs are tracked as work orders. Residents see every status change. See myKutir's complaint management software.
A scenario of AI in action
An illustrative example. A power fluctuation damages the booster pump in a 260-flat society, and water pressure drops in two towers. Within an hour, twelve clear complaints arrive through draft assist, all in the plumbing category. The manager sees the pattern, links them to one work order for the pump vendor and publishes a notice drafted with AI: "Low water pressure in Towers A and B. The booster pump is being repaired. Expected fix by 6 pm." Residents asking the app "why is the water pressure low?" are pointed to the notice.
Mistakes to avoid
- Expecting AI to fix problems. It clarifies them. People fix them.
- Answering a building-wide problem complaint by complaint, instead of with one notice.
- Skipping closing notes.
- Letting complaints continue in chat groups.
Manual or AI-driven complaint resolution?
| Area | Manual | AI-driven |
|---|---|---|
| Intake | Unclear, scattered | Clear, in one place |
| Spotting wide problems | Slow | Visible as a pattern |
| Communicating fixes | One by one | One notice to all |
| Accountability | Low | Owners, deadlines, escalation |
Step-by-step implementation
- Set categories, owners and deadlines.
- Announce the app as the complaint channel.
- Promote draft assist to residents.
- Use notices for problems affecting many flats.
- Review patterns monthly.
Frequently asked questions
Does AI decide priorities?
No. Deadlines come from the categories your society sets.
Can several complaints be handled with one vendor job?
Yes. One work order can cover the fix, while each complaint is updated and closed.
Read also how AI-driven complaint resolution helps residents.
Key takeaways
- AI's big change is clear, ready-to-act complaints.
- Owners, deadlines and escalation still do most of the work.
- Spot patterns and answer wide problems with one notice.
- Record every fix.