Leveraging AI in Society Management Platforms: A Comprehensive Guide
By Sandip Gupta — 2026-09-18
This guide looks under the hood of AI in a society management platform.
In short: this guide looks under the hood of AI in a society management platform. It explains in plain words how complaint drafting works, how AI search over notices finds answers and shows its sources, and how to put these tools to work in your society.
Which AI features does myKutir offer?
- Complaint draft assist.
- Notice writing assist.
- AI search over notices, with sources.
- A plain-language financial narrative.
- A budget forecast for discussion.
- Face recognition for regular staff at the gate.
How does complaint drafting work?
A resident types a description in everyday language, for example "bathroom ceiling dripping since morning, maybe from upstairs". The AI rewrites it as a clear complaint: what the problem is, where it is and since when. It suggests a category such as plumbing. The resident checks it and submits. From then on, the complaint follows the society's normal process: an owner, a deadline and status updates.
How does AI search over notices work?
This is sometimes called retrieval-augmented search. In plain words:
- Each published notice is split into short sections.
- When a resident asks a question, the system finds the sections that best match it.
- The AI writes an answer using only those sections.
- The answer shows which notices it came from, so the resident can check.
Two safeguards matter. The search only uses notices the person is allowed to see. And if no notice answers the question, it says so rather than guessing.
Example: AI in action
An illustrative example. A new tenant moves into a 280-flat society. Instead of asking neighbours, she asks the app about garbage collection times, gym rules and the visitor policy. Each answer comes from a published notice with a link. Later, she uses draft assist to report a faulty geyser, and it reaches the electrician the same day.
Common mistakes
- Not publishing notices in the app, so search has little to work with.
- Publishing AI drafts without review.
- Treating the budget forecast as a decision.
- Using AI where judgement is needed, such as disputes between residents.
Digital or manual society management?
| Task | Manual | With AI |
|---|---|---|
| Raising complaints | Unclear messages | Clear, categorised |
| Writing notices | Slow | Fast drafts |
| Finding rules | Ask the committee | Ask the app, see the source |
| Reading accounts | Technical | Plain summary |
Step-by-step implementation
- Publish all current rules and important notices in the app.
- Agree that a person reviews every AI draft.
- Introduce notice drafting to the committee.
- Show residents draft assist and search.
- Review after three months.
See myKutir's AI platform and our overview of AI in society management.
Frequently asked questions
What happens if the AI cannot find an answer?
It says it could not find one in the published notices, rather than making something up.
Is each society's data separate?
Yes. Each society's data is kept separate, and search respects who can see each notice.
Do residents have to use AI?
No. Every AI feature is an optional helper.
Key takeaways
- Complaint drafting makes complaints clear at the start.
- AI search answers only from published notices and shows sources.
- Privacy limits are built into what AI can see.
- People review drafts and make decisions.