Ask questions in plain English. Get instant, source-cited insights. Draft personalized campaigns. Turn conversations with Grace into donor relationships that last - every answer traceable to your actual records.
Q3 has the largest lapse window — re-engagement recommended.
Instead of building a report or exporting a spreadsheet, you ask a question in plain English — "which mid-level donors lapsed this year?" — and get an answer drawn from your actual donor records, with every number cited to its source. No SQL, no report builder, no waiting on the one person who knows the system. Your database stops being a filing cabinet and becomes something you can talk to.
Salesforce found that 76% of nonprofits lack a data strategy, and only 12% are "digitally mature" — organizations that are four times more likely to achieve their mission goals (Salesforce Nonprofit Trends). The bottleneck is rarely the data itself. It is access: getting an answer means building a report, exporting to a spreadsheet, or waiting on the one staffer who knows the CRM. Chatting with your data removes that step — you ask in plain English and the answer comes back cited to your own records.
That access gap has a direct cost. The donors quietly slipping away stay invisible until someone thinks to run the report, and across the sector only about 2% of lapsed donors are ever won back (Fundraising Effectiveness Project). When anyone on the team can ask "who is about to lapse" and get an answer in seconds, you catch them inside the window that still matters — and you surface the revenue already sitting in your data instead of leaving it there.
Two things usually stand in for real access to donor data: running a report, or pasting data into a general AI tool. Neither gives you a fast, trustworthy answer about your own donors.
| Running a report | Generic AI (ChatGPT) | Chatting with your data (Grace) | |
|---|---|---|---|
| Speed | Build, export, filter | Instant but generic | Instant, on your data |
| Knows your donors | Only what you extract | No — donors in general | Yes — your actual records |
| What you get back | A spreadsheet | A plausible guess | A cited, specific answer |
| The numbers | Accurate if built right | Often invented | Deterministic and auditable |
| Next step | You build it yourself | You rewrite it | Draft ready to send |
A few examples of the questions the team can ask in plain English, each answered from your real records:
Every answer comes with the cited records behind it, so you can click straight through to exactly who and what it is based on.
Grace renders interactive visualizations directly in the conversation - giving trends over time, retention comparisons, segment breakdowns - computed from your real donor records, not summarized in a wall of text. Charts persist in your conversation history, so the analysis is there when you come back to it.
Answers begin rendering the moment Grace starts writing - no waiting on the full response before you can start reading.
Change your mind halfway through? Stop the response, refine the question, and Grace starts again with the new context.
Don't lose momentum. Type your follow-up while Grace is still answering the last one, and she'll pick it up in order.
Every conversation with Grace can become an action. These are real queries you'll use from day one.
NEW DONOR WELCOME
LAPSED DONOR RECOVERY
MAJOR DONOR STEWARDSHIP
HIDDEN REVENUE
Ask questions in plain English like you'd ask a colleague. No SQL, no reports, no waiting.
Find exactly the right donors based on giving history, interests, capacity, and engagement - in seconds.
Turn any insight into a personalized email, a relationship brief, or a board-ready report. Grace closes the loop.
Grace scans for opportunities already in your data that nobody has acted on - foundation mentions, planned gift signals, wealth events.
Grace closes the loop between data and action. You're never more than three steps from a deployed, personalized campaign.
Start your free trial - stop running reports. Start having conversations with Grace that lead directly to donor relationships and revenue.
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