Gratefully + Virtuous

Gratefully and Virtuous: outward-looking AI meets inward-looking intelligence

Virtuous is a responsive fundraising CRM whose AI enriches and predicts using external data. Gratefully is the intelligence layer that recalls and answers using the knowledge your team already holds. Most organizations run both.

Is Gratefully a Virtuous alternative?

No. Gratefully is not a CRM and does not replace Virtuous. Virtuous is your responsive fundraising CRM, and its AI looks outward: it enriches donors with wealth and demographic data and predicts who to ask. Gratefully is an intelligence layer that looks inward, turning your team's own notes, emails, and handover docs into cited, plain-language answers. Most teams run both.

Virtuous has powerful AI. So why would you add Gratefully?

Virtuous is one of the most AI-forward CRMs in the sector, and it is worth being precise about what its AI does. Virtuous Insights uses predictive modeling over integrated wealth, capacity, demographic, and social media data to score how likely each donor is to give and how much. Its AI Research Agents pull public web data to build donor profiles. Momentum then drafts outreach for major gifts. All of that AI points in one direction: outward, toward external data about your donors.

Gratefully's AI points the other way: inward, toward the knowledge your own team already holds but cannot easily retrieve. Staff notes, emails, handover docs, board minutes. It answers questions across all of it in plain language, with every answer cited to its exact source, and it keeps that knowledge intact when staff leave.

The simplest way to hold the difference: Virtuous enriches and predicts; Gratefully recalls and answers. One tells you a donor has high capacity and high propensity. The other tells you what your organization actually knows about that person — what was said, what was promised, and who holds the relationship. That is why they are complementary rather than competing, and why most teams that run Virtuous still have a knowledge problem it was never designed to solve.

A concrete example

Picture a $50,000 gift that closes over dinner at a board member's home. Virtuous Insights already flagged the donor months ago: high wealth score, high propensity. What Insights cannot tell you is what was actually said at that dinner — that your board chair promised the donor their name on the new wing, tied to a spring deadline. That promise lives in one follow-up email. Virtuous scores the donor and logs the gift. When the ask needs to be honored a year later, after that board chair has rotated off, only a layer that reads your unstructured knowledge can answer the question that matters: "what exactly did we promise this donor, and who made the promise."

Looking for a Virtuous alternative? You might not need to switch.

Most people searching for a Virtuous alternative are not unhappy with donor scoring or campaign automation. They are wrestling with a steep learning curve, or with the fact that everything their team actually knows about a donor lives in notes, emails, and handover docs the CRM cannot read. Switching CRMs is expensive and disruptive, and it rarely fixes that, because the next CRM has the same blind spot. The better move is usually an intelligence layer on top of the CRM you already run, so you can ask questions in plain language and get cited answers with no migration. Keep Virtuous. Add the ability to query the knowledge it was never built to hold.

Where each tool fits

Virtuous predicts from outside data. Gratefully answers from your own. This table maps which capabilities live where.

CapabilityVirtuousGratefully
Donor gift history trackingvia CRM connection
Wealth and demographic screeningInsightsby design
Predict donor capacity and propensityInsightsnot its job
Recall internal notes, emails, and promises on demandnot built incited
Unstructured data ingestion (staff notes, emails, documents)
Natural language query interface
Answers cited to the exact source note or emailnot built in
Preserve relationship context through staff turnover
PII redaction for public content
Audit trail on all AI interactions
SetupIs the CRM you already runConnects on top, no migration

Ask a question instead of learning the system

Powerful CRMs come with a learning curve, and even then, much of what a team knows never reaches the database at all. An intelligence layer flips that. Instead of learning where a report lives or building a query, you ask in plain language — "what did we promise this donor at the gala, and who made the promise" — and get an answer cited to the exact note or email, including the unstructured sources the CRM never indexed.

Which one do I need?

Keep Virtuous as your system of record, your wealth and propensity scoring, and your outreach engine. Add Gratefully when you want the internal knowledge around those donors — the notes, emails, and promises — to be searchable, cited, and safe from staff turnover. Virtuous tells you who to ask and how much to ask for. Gratefully tells you what you already know about them. Most teams do not choose; they run both.

Frequently asked questions

No. Gratefully is not a CRM and does not replace one. Virtuous is a responsive fundraising CRM whose AI enriches donors with external wealth and demographic data and predicts who to ask. Gratefully is an intelligence layer that surfaces the internal knowledge your team already holds — notes, emails, and handover docs — and answers questions from it with citations. Most organizations keep Virtuous and add Gratefully.

Because they point in opposite directions. Virtuous Insights looks outward: it scores donors on wealth, capacity, and propensity using external datasets, and its AI Research Agents pull public web data. Gratefully looks inward: it reads the notes, emails, and documents your own team created, answers across all of it with cited sources, and preserves that context through staff turnover. One predicts who to ask; the other remembers what you already know about them.

Virtuous Insights is predictive modeling over external wealth, demographic, and social data to estimate a donor's capacity and likelihood to give. Gratefully is recall over your internal, unstructured knowledge: it answers plain-language questions about what your team has said, promised, and recorded, cited to the source. Insights predicts from outside data; Gratefully answers from your own.

No, and that is deliberate. Wealth and demographic screening is exactly what Virtuous Insights and dedicated wealth tools are built for. Gratefully works on the internal knowledge you already have, not external wealth data, so the two are complementary rather than overlapping. If you want wealth screening, use Insights; if you want to recall and query what your team knows, use Gratefully.

No. They do different jobs. Virtuous is your system of record, scoring, and outreach. Gratefully is your system of context: the institutional memory and natural-language answers a CRM was never designed to hold. They are built to work together.

Yes. Gratefully sits on top of your existing CRM with no migration required. It works from the records you already keep in Virtuous and adds the unstructured relationship context around them.

Ingest and query unstructured data such as staff notes, emails, and handover docs; answer questions in plain language with every answer cited to its source; preserve donor relationship context through staff turnover; and redact PII before anything is used in public content. These are recall and context jobs, not prediction jobs.

If you want both prediction and recall, yes. Virtuous tells you a donor has high capacity and is likely to give. Gratefully tells you what was promised, what was said, and who holds the relationship, drawn from the notes and emails a CRM cannot read. Together you know who to ask and exactly how to have the conversation.

No. Gratefully is not a database of record. It works from your existing CRM and files, keeps your data in an isolated tenant, never uses it to train shared models, and cites every answer back to the original record.

No. There is no migration. Gratefully layers on top of Virtuous, so you keep your CRM, your data, and your workflows exactly as they are.

It depends on the job. For scoring wealth and propensity and drafting outreach from external data, an AI-forward CRM like Virtuous does that well. For recalling and querying everything your own team knows about a donor, with cited answers and memory that survives staff turnover, you need an intelligence layer on top of the CRM. Gratefully is built for that layer.

Pair Gratefully with the CRM you already use.

Gratefully is built to sit on top of Virtuous — no migration, no rip-and-replace. Most organizations are set up in under 60 minutes.

Get Started →
Read how Gratefully compares to other tools: vs Bloomerang · vs Salesforce Nonprofit · vs a generic chatbot · How Gratefully works