Gratefully + Virtuous

    Gratefully and Virtuous: How an intelligence layer pairs with your CRM

    A healthy nonprofit needs both a CRM and an intelligence layer. Virtuous is a great CRM. Gratefully is the AI-native intelligence layer that sits on top of it — preserving the relationship context your CRM was never built to hold.

    In one sentence: Virtuous is a responsive fundraising CRM. Gratefully is the intelligence layer that sits on top — they're designed to work together, not in place of each other.

    What Virtuous does well:
    A unified responsive fundraising CRM with built-in donor scoring and automated cultivation workflows.
    What Gratefully adds:
    An AI-native intelligence layer that makes unstructured knowledge — staff notes, handover docs, board minutes — queryable alongside your CRM data, with cited answers.
    Better together:
    Virtuous manages and scores your structured donor data. Gratefully captures and surfaces everything else your team knows. They cover different parts of the same job.

    Where each tool fits

    CRMs and intelligence layers are different categories of software. This table maps which capabilities live where.

    Capability Virtuous Gratefully
    Donor gift history tracking via CRM connection
    Unstructured data ingestion (staff notes, emails, documents)
    Natural language query interface
    Answers cited to source records (no hallucinations)
    Donor relationship context preserved through staff transitions
    PII redaction for public content
    Sits on top of existing CRM (no migration required) is the CRM
    Institutional memory as a permanent org asset
    Audit trail on all AI interactions
    Proactive churn risk scoring (overnight) engagement scores Action Center
    Autonomous donor signals (wealth, life, engagement events) structured only
    Hidden revenue discovery from your own data
    Setup time Weeks Under 60 minutes

    An AI-native intelligence layer, designed to pair with your CRM

    Virtuous is one of the strongest CRMs in the nonprofit space, with meaningful AI investments — particularly following its merger with Momentum. As a responsive fundraising CRM, it does a lot of things well.

    Gratefully isn't a CRM. It's the first AI-native intelligence layer built specifically for nonprofit donor relationships — designed from the ground up around retrieval, reasoning, and institutional memory. The two categories are different by design, and they pair well.

    Where CRMs (Virtuous included) generate intelligence from structured records — donation history, contact frequency, engagement scores — Gratefully reads handover documents, synthesizes years of staff notes, and surfaces relationship context buried in board minutes from 2021. Different inputs, different jobs, complementary outputs.

    Why pair them?

    CRMs hold your structured records. Gratefully holds the relationship context that lives between the rows.

    With Virtuous on its own

    Your gift records, contact history, and engagement data are well-organized. But the relationship context — the conversation from the gala, the note about a donor's late father, the planned gift conversation that was six months in — lives in emails, notes, and the heads of the people who logged them.

    With Gratefully alongside Virtuous

    David moves on. Every conversation, note, and email he logged is already part of the organization's permanent knowledge graph, sitting alongside Virtuous's structured records. The next person on the team asks: 'What was David working on?' — and gets a prioritized list of every active cultivation with context, history, and recommended next steps. Margaret's planned gift continues without missing a beat.

    Frequently asked questions

    Pair Gratefully with the CRM you already use.

    Gratefully is built to sit on top of your existing tools — 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 · How Gratefully works

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