Where AI is used, and where it is not
How DataBridge uses AI models: the work that needs none, the model you choose, what a person approves and what is logged.
Matching records, reconciling figures, reports and exports need no AI. Where AI helps, it is the AI you choose, and what it proposes waits for a person.
It starts with a demo on a sample of your own documents and data.
AI projects stall when the data they need is not ready to use.
60% of AI projects unsupported by AI-ready data will be abandoned through 2026, Gartner forecasts. Gartner newsroom, February 2025.
Work that needs no AI
Matching records, reconciling figures, building reports and exporting use ordinary software and no AI, so the same data always gives the same result.
The AI you choose, or none
You decide which AI model DataBridge uses. You can run it on your own machines, or use none.
Nothing a model suggests is added or sent until a person approves
A fact the AI suggests waits until a person confirms it, and a drafted email goes out only after approval. Each confirmation is recorded with its date.
Every number is checked
Every number in a sentence the AI writes is checked against the fact it cites, or the sentence is refused.
Each use of AI is recorded
Each use of AI is recorded, with a digest of what went in and what came out.
The model use statement, for your records
The statement is in the Technical overview.
It starts with a demo on a sample of your own documents and data.