Transparent AI for
nonprofit needs
Bridgit uses AI to help charity teams set up their data integrations faster and more accurately. We think it's important you understand exactly how that works: what data is involved, how it's protected, and what we're doing to make sure our use of AI is something you can confidently stand behind.
No buzzwords. No vague reassurances. Just straight answers.
- Your data is never used to train AI models
- Actively pursuing Zero Data Retention agreement with Anthropic
- Anthropic listed as a subprocessor in our DPA
- Data never shared between Bridgit customers
- Every AI proposal reviewed by your team before it takes effect
- Full DPA and subprocessor schedule available on request
Your data is yours
When you use Bridgit AI, it analyses a snapshot of your source platform data and destination CRM to figure out how your data should be mapped. To do that well, it needs to look at real records: field names, values and patterns from your actual systems.
The AI is powered by Anthropic's Claude API. Some of that data, including records that may contain donor names, email addresses or donation details, passes through Anthropic's infrastructure as part of the analysis. We want to be upfront about that rather than bury it in a privacy policy.
How your data is protected
Under Anthropic's standard API terms, your data is never used to train AI models and is automatically purged within 30 days. We are also actively pursuing a Zero Data Retention (ZDR) agreement with Anthropic. This will reduce that window to zero, wiping data as soon as the AI has generated its response. We'll update this page as soon as that's confirmed.
Anthropic is listed as a subprocessor in Bridgit's Data Processing Agreement. You can request a copy of our DPA and subprocessor schedule at any time.
Your data is never shared with other Bridgit customers. It is never used for any purpose beyond setting up and running your bridges.
AI assists. People decide.
Bridgit AI analyses your source platform and CRM, spots patterns in your data and proposes a complete set of field mappings and transformation rules. That is where the AI's deciding ends.
Your team reviews every process proposal before anything is confirmed. Once you're happy with the configuration and you approve it, those rules run automatically from that point forward. That automation is yours: it reflects decisions your team made, not choices the AI keeps making in the background. The AI got you to a working setup in minutes rather than hours; you decided what that setup looks like.
Where the AI stays actively involved
When something in your data doesn't fit the expected pattern, Bridgit surfaces it for a person to review rather than making a guess. Bridges run on the schedule you set and Bridgit flags the edge cases and exceptions to you.
Environmental impact
AI inference uses energy and water. We think pretending otherwise, or saying nothing at all, would be the wrong approach for a mission-driven organisation that serves nonprofits.
Here's where we are honestly: we're in the early stages of measuring our AI compute footprint. We don't yet have the numbers to publish, and we'd rather say that clearly than share estimates we can't yet stand behind.
What we can say is this: we use AI purposefully. Every AI feature in Bridgit exists because it saves real time for real people in the charity sector, not because AI is fashionable. We are actively working to understand our usage and its environmental cost, and we'll publish that data here as soon as we can do so accurately.
If your organisation has specific ESG reporting requirements, please get in touch. We're happy to share what we know and work through it with you.
Frequently asked questions
Straight answers to the questions charities usually ask us.
Talk to us
If you have questions about how Bridgit handles your data, or you'd like to discuss our AI approach before signing up, we'd genuinely love to hear from you. This stuff matters, and we'd rather have the conversation than have you wonder.