01The client
About Nagarathar Nalan
Nagarathar Nalan is a non-profit organization working for the holistic well-being of the Nagarathar community. It helps community members with education, medical expenses and daily food requirements, funded by donations from well-to-do members of the same community.
Trustees contact donors and secure donations. Volunteers verify that each person seeking help belongs to the community and that the need is real. Throughout, the identity of the person seeking help is never revealed to donors.
02The system before
The system before: phone calls, WhatsApp documents and manual transfers
The model worked on trust, but the process underneath it ran on conversations and forwarded files:
Verification
Details of each person and their need were passed between volunteers and trustees over the phone, with documents sent on WhatsApp. Details were missed, and requests faced long delays.
Donor assurance
Because the person seeking help stays anonymous, donors needed a foolproof way to know their money was spent well.
Disbursal
Donations were dispatched manually, which led to mistakes and delays.
Collection
Collecting donations was a manual process, full of friction for donors.
Records
Managing and compiling donation records was tedious and unforgiving of error.
Anonymity and transparency pull in opposite directions. The process had to deliver both.
03The risk
Why it was risky to change
This system handles money, personal circumstances and community trust at the same time. A design that weakened any one of them would undermine the whole program.
RiskAnonymity and transparency
Donors needed confidence that money reached a real need, while the person in need could never be exposed. Transparency had to come from the process, not from disclosure.
RiskPayment accuracy
A transfer to the wrong account is hard to recover. Disbursal had to confirm the destination before any money moved.
RiskRole separation
Four kinds of users needed different, strictly limited views of the same records.
RiskDonor documentation
Donors rely on 80G certificates for tax purposes, so certificates had to be accurate and consistent for every donation.
04The architecture
The architecture: verification before money moves
We engineered a mobile app for iOS and Android, organized around four user roles with separate access levels. Users sign up with mobile number and OTP authentication, and both users and donation requests pass a two-step hybrid verification before a need becomes visible to donors, without the identity of the person asking.
Donors give through an integrated payment gateway across three categories. Before disbursal, penny-drop verification confirms that the recipient bank account is valid and correct. Dashboards and reports update in near real time, and 80G certificates are generated automatically.
What we engineered
-
OTP onboarding
Mobile number and OTP authentication for simple, secure sign-up.
-
Two-step hybrid verification
Users and donation requests are both verified before a need reaches donors.
-
Four roles, separate access
Role-based authentication and access control across four user roles.
-
Three giving categories
Donations are made and sought in three categories, so donors give where they choose.
-
Penny-drop verification
Bank accounts are verified before transfer, preventing payments to the wrong account.
-
Dashboards and 80G certificates
Advanced dashboards and reports at near real-time speed, and automatic 80G certificate generation.
Key tradeoffWe kept human verification in the loop rather than approving requests automatically. It takes hours rather than seconds, and that is what lets donors trust a request whose author they will never see.
05The results
The results
Transparency improved while the anonymity of help seekers was maintained, the combination the program depends on.
06Is this your situation?
Is your organization facing the same pattern?
The same controls apply well beyond charitable giving. This architecture fits organizations where:
- Approvals depend on documents shared over phone calls and messaging apps.
- Money moves only after several people verify a request.
- Stakeholders need proof of process without access to sensitive personal data.
- Payments, receipts and certificates are still issued manually.
Lending, claims, grants and any other disbursal workflow share these requirements. An architecture audit identifies where your approvals and payments are exposed to manual risk.
07Questions
Frequently asked questions
How does the platform keep people seeking help anonymous?
Requests reach donors only after verification, organized by category and without the requester's identity. Access to personal details is limited by role, so donors see the need, not the person.
What is penny-drop verification?
Penny-drop verification sends a nominal amount to a bank account to confirm that the account exists and belongs to the intended recipient before the full amount is transferred. It prevents payments to wrong or mistyped accounts.
How did verification go from days to hours?
Verification moved out of phone calls and WhatsApp documents into a structured two-step workflow inside the app, so no request waits on someone relaying details.
What results did the platform deliver?
A 150% increase in donations, verification cut from days to hours, 900 hours of manual work saved every month, and a donor network that now reaches the US, Europe and the MENA region.
More case studies
-

Financial services
Attica Gold Company
600+ hours a month saved across 150 branches.
Read the case study for Attica Gold Company -

AI-native SaaS
ChapterMe
YouTube chapters in minutes instead of days.
Read the case study for ChapterMe -

Edutech
Tektork
150 hours of manual work removed every month.
Read the case study for Tektork