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Grants and reporting

Grant-funded nonprofits

For organisations funded by government, foundations, trusts, and philanthropic programs.

Grant-funded teams

AI-built journey example

1
Internal grant intake form
2
Program data request
3
Opportunity to submission journey
4
Generated grant application

The repeated pain

Grant teams lose time rebuilding answers, chasing finance exports, and proving impact claims after the draft is already moving.

How Zoomplify connects the work

AI connects files, records, notes, numbers, and past work into a working context teams can query, cite, and reuse.

What the team gets

A review-ready grant, acquittal, or funder report with current numbers and source-backed evidence.

Forms, emails, journeys, and outputs

The practical pieces around the process

Zoomplify generates the forms that collect the right information, drafts the emails that move the work forward, builds the journey that keeps the process on track, and drafts the outputs the team reviews.

Generated forms

Internal grant intake form
Program outcomes request
Partner evidence collection

Drafted emails

Program data request
Finance review request
Internal approval reminder

Built journeys

Opportunity to submission journey
Acquittal collection journey
Report review journey

Review-ready outputs

Generated grant application
Generated source-linked funder report
Generated evidence checklist

Journey

From process to reusable journey

Start with an SOP, guideline, previous report, or email thread. Zoomplify maps the work and generates the forms, emails, checks, and approvals around it.

01

Start with approved work

Use last year's application, report structure, and funder language as the foundation for a new draft.

02

Connect current figures

Link participant counts, program metrics, budget figures, and attachments to the sections where they belong.

03

Draft with sources attached

Generate funder-ready language with each claim traceable for review.

Connected sources

The context that usually gets chased down

Previous successful applications

Program outcomes spreadsheets

Approved budgets

Funder guidelines

Evaluation summaries

Practical outcomes

What changes for the team

AI drafts from approved grant work, so every application starts with context

Current program and finance figures are pulled into the draft

Every generated claim stays linked to its source