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We hold discovery conversations with nonprofit teams to understand how their day-to-day work actually runs—and where it breaks down.
Currently in prototype · Shaped with nonprofit feedback
Bring memberships, donations, finance, and communications into one clear workspace—so your team can spend less time managing tools and more time advancing your mission.
These are common operational challenges we are exploring in our discovery conversations. They shape what we build first.
We hold discovery conversations with nonprofit teams to understand how their day-to-day work actually runs—and where it breaks down.
We focus on the core operational needs first: memberships, donations, finance, and communications, built on reliable records.
We share early prototypes, gather feedback, and improve the product step by step before expanding scope.
Ramadan, Qurban, and emergency campaigns create sudden spikes in donations, messages, and reporting work for small teams.
Board meetings, general assemblies, grant reports, and official filings each need the same data in a different format.
Thank-you messages and impact updates are often the first thing dropped when a team is overloaded—yet they keep donors giving.
Our initial scope focuses on the four areas nonprofit teams tell us take the most manual effort. Modules are in prototype development.
Keep member records, dues, and roles in one place instead of scattered spreadsheets.
Connect every donation to donors, campaigns, and the financial workflows behind them.
Reach members and donors with the right message, built on the same records your team already maintains.
See what needs attention across teams—without assembling reports by hand.
We are exploring where AI can genuinely reduce administrative work for nonprofit teams. These capabilities are planned and under evaluation—they are not part of the current prototype.
Status: planned, not yet built. No AI features are live today, and no organizational data is sent to any AI provider. We will share details on data handling before any AI capability is released.
Short, readable summaries of membership, donation, and finance activity—so leadership can see what changed without building a report.
“What changed in donations and memberships this month?”
First drafts of thank-you notes, renewal reminders, and updates that your team reviews, edits, and approves before anything is sent.
“Draft a thank-you note for this month's recurring donors.”
Ask questions about your organization's own records and get answers limited to what each user is already allowed to see.
“Which members have dues outstanding in my branch?”
Answers common donor questions—donation status, receipts, campaign updates—from your own records, and hands anything else to a person.
“Did my Qurban donation arrive? Can you send my receipt?”
Suggests the likely donor and campaign for each incoming bank transfer, for a finance team member to confirm.
“Transfer: ‘A. Yilmaz water well’ → suggest donor + campaign”
First drafts of board, general assembly, and grant reports from data you already keep—reviewed and finalized by your team.
“Draft the quarterly board summary for donations and expenses.”
Flags donors who appear more than once across online giving, bank transfers, phone, and events, and shows the matching fields side by side for staff to merge.
“‘Ahmet Yılmaz’, ‘A. Yilmaz’, and ‘Ahmet YILMAZ’ share a phone number → suggest merge”
Our assessment of everyday nonprofit workflows: where AI could save the most time, and what should always stay with people. All items are planned—none are available yet.
| Workflow | Today, by hand | With AI assistance | What stays human | Planning priority |
|---|---|---|---|---|
| Bank transfers | Someone opens the bank statement, reads each transfer, and searches the donor list by hand—one line at a time. | Each transfer arrives with a suggested donor and campaign. Clear matches are queued for one-click approval; only unclear ones need a closer look. | Finance confirms uncertain matches. | First |
| Donor questions (WhatsApp & calls) | Staff read every WhatsApp message and phone request, look up the donation, and reply one by one—often after hours in campaign season. | Routine questions—“Did my donation arrive?”, “Has my Qurban been done?”, “Send my receipt”—get an answer from your records right away, at any hour. Call summaries are saved to the donor profile automatically. | Anything sensitive is handed to a person. | First |
| Donor records | The same donor appears three times with different spellings; someone notices only when a receipt or report looks wrong. | Likely duplicates are flagged as soon as they appear, with the matching fields side by side, so cleanup happens continuously instead of before every report. | Staff approves every merge. | First |
| Reports & content | Someone collects figures from several spreadsheets and writes each board summary, news post, and translation from a blank page. | A first draft is ready from the data you already have—summary, news post, or translation—so the team edits instead of writing from scratch. | Nothing is published without review. | First |
| Aid applications & case files | Case workers re-read handwritten visit notes and check each application's documents against a list before the committee meets. | Each file opens with a short summary and a list of missing documents, so committee time goes to decisions instead of paperwork. | Eligibility decisions stay with the committee. | Next |
| Scholarship applications | Staff open every application file to copy details into a spreadsheet and chase missing documents. | Details are extracted into a structured form and incomplete applications are flagged before anyone opens them. | Scoring and selection are done by people. | Next |
| Expenses & receipts | Receipts arrive as photos; the accountant types each amount, date, and category into the ledger. | A photo becomes a pre-filled entry with a suggested category; unusual amounts are highlighted for review. | The accountant approves every entry. | Next |
| Sponsor updates | Staff write each sponsor update and translate letters manually, child by child. | Updates and translations are drafted from progress reports, ready for staff to check and send. | Staff reviews every message about a child. | Next |
| Seasonal planning | Planners compare last year's spreadsheets by hand to estimate parcels, shares, and staff. | A first estimate based on previous seasons is ready before planning meetings begin. | The planning team decides. | Later |
| Volunteers | Coordinators call around or scroll through lists to find a volunteer who fits each task. | A shortlist of suitable volunteers appears for each task. | Coordinators make assignments. | Later |
Nonprofits hold sensitive information about donors, members, and beneficiaries. These principles guide our product decisions.
Planned AI features will suggest and draft. Messages to donors and financial decisions stay with your team.
Staff and volunteers should only see—and ask about—the information their role allows.
We plan to handle personal data carefully and explain clearly how it is processed before any AI feature is released.
Starting in Türkiye: Turkish-first workflows, bank transfers, seasonal campaigns, and multilingual donors abroad.
NGO360 AI is being shaped through customer discovery and iterative development. We are early, and we want to get the fundamentals right.
We hold discovery conversations with nonprofit teams to understand how their day-to-day work actually runs—and where it breaks down.
We focus on the core operational needs first: memberships, donations, finance, and communications, built on reliable records.
We share early prototypes, gather feedback, and improve the product step by step before expanding scope.
Are you part of a nonprofit or association? Tell us what makes your day-to-day work harder. We are looking for early conversations and feedback as we shape the product.