Case studies — Smarterapps Ai
Nonprofit AI automation
How an Australian nonprofit can answer supporters from the CRM, roster volunteers without a spreadsheet, and get grant documents into a file a program lead can actually use.
The situation
What was getting in the way.
An Australian nonprofit ran donations in a CRM, volunteers in a spreadsheet and grant reporting in a shared drive. Two coordinators answered receipt questions and Saturday shift questions from inboxes they could not both see. Program leads rewrote the same outcomes into each funder’s template.
The board wanted the small team on programs, not on retyping. They also wanted a bright line around supporter data and around anything that looked like automated fundraising pressure.
This anonymised use case is a composite of the nonprofit work Smarterapps Ai designs. It is not a named charity and it does not claim a fundraising result.
Read the matching industry page on Nonprofit and NFP AI, or talk to us via contact or chat.
What we would build
The app, the assistant and the automation.
Each part is scoped so a person keeps the decision that matters. This is the shape of the engagement, not a claim that every module ships on day one.
01 — Supporters
Supporter app
Receipts, event details and preferences for people who already have a relationship with the organisation.
02 — Gifts
Donation questions
An assistant that answers receipt and event questions from the CRM record and published information, and hands anything else to a coordinator.
03 — Volunteers
Rostering assistant
Shifts offered against the roles and availability coordinators have already approved. People confirm. The spreadsheet is not the system.
04 — Programs
Reporting drafts
A draft in the funder’s structure, built from program notes the team has already written, for a lead to edit.
05 — Grants
Grant intake
Applications checked for the attachments the round requires, then queued. Eligibility judgements stay with the panel.
06 — CRM
CRM integration
Supporter history stays in the CRM. The app does not create a second database of donors.
How it runs
From the first request to the system of record.
The automation prepares work. It does not take the action your organisation reserves for a person.
Step 01
A supporter asks about their own gift
The assistant uses that supporter’s CRM record and your published wording. It does not see anyone else’s record, and it does not solicit.
Step 02
Volunteers confirm a shift a person created
The assistant fills and reminds. Coordinators own who is allowed to be rostered. The app does not recruit by scraping contacts.
Step 03
Reporting starts from notes you wrote
The draft follows the template. A program lead edits anything that leaves the building. Figures come from the source the lead points at, not from invention.
Step 04
Grant files arrive complete
Missing attachments are requested first. The panel still decides.
Outcomes
What this pattern is built to change.
Coordinators off repeat receipt questions. Supporters can see their own gift without two people searching an inbox.
A roster with owners. Shifts exist because a coordinator approved the role, not because a cell was typed over.
Reports that start in the right shape. Leads edit a draft in the funder’s structure instead of reformatting notes late at night.
Panels still decide grants. Intake checks completeness only.
Controls
What the automation is not allowed to do.
Supporter access is limited to the individual’s own record. The assistant does not run acquisition campaigns or contact people who have not asked. Volunteer data is restricted to coordinators. Reporting drafts cannot introduce a figure that is not in the source notes. Fundraising messages stay the ones you approve.
Smarterapps Ai builds the software and the operating guardrails with you. We do not invent a compliance position for your sector. The person you already hold accountable — clinician, adviser, officer, supervisor — still makes that decision.
This page is an anonymised composite use case. It uses a realistic Australian scenario. It is not a published result for a named organisation.
Keep going
Industry page, services and chat.
The industry page covers how we build. This page covers one operating pattern.
Related: Services · AI developers · Workflow automation · AI agents · Document AI · AI customer chat · Contact · All case studies →
You can also open the chat on this page and describe the workflow. A person follows up from there.
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FAQs
Questions we expect on the first call.
Will this message donors on its own?
No. This pattern answers people who ask, and rosters people you have already approved. It does not prospect.
Can it write the outcomes numbers?
Only from sources you attach. If the figure is not there, the draft says it is missing. A lead approves anything submitted.
Do we have to leave our CRM?
No. The CRM remains the supporter record. The app reads it.
Where next?
Receipt questions or rostering is the usual first slice. Contact or chat.
Start with one workflow
Spend the coordinators on the program.
We will take the question your inbox answers every day, or the roster you rebuild each week, and leave supporter data in the CRM you already run. Or open the chat on this page.