Overview
Iradaty Bot is an AI-assisted reporting and knowledge workflow built to reduce the operational burden on a small humanitarian NGO team working under high uncertainty and limited capacity. It turns high-frequency, messy updates into structured reports that leadership can act on.
The problem
The team did report; but the information arrived scattered across messages, screenshots, and voice notes. Weekly reporting consumed leadership time and still missed patterns. Institutional memory stayed fragmented; and past decisions were hard to retrieve.
The design choice
I did not force a new tool first. The system meets the team where they already are (chat-based updates); then adds structure through automation.
What the workflow does
- Collects periodic updates (field + admin)
- Produces standardized outputs:
- Personal weekly reports
- Department reports
- A management weekly report
- Stores outputs in Notion so they are searchable, reviewable, and reusable
Architecture (high level)
- Input layer: chat-based reporting
- Processing layer: LLM summarization and structured extraction
- Storage layer: Notion (raw inputs + outputs + knowledge base)
- Output layer: scheduled reports and ad-hoc summaries
Impact
- Reduced manual effort required for consistent weekly reporting
- Improved visibility across departments through standardized outputs
- Built a searchable archive of decisions, blockers, and recurring themes
Lessons
- In low-capacity environments, automating around habits creates leverage.
- “AI summaries” become operationally useful when stored in a system built for search, history, and reuse.