How DataWalk turns a graph into a written investigation in seconds

How DataWalk turns a graph into a written investigation in seconds

When a fraud alert fires, an investigator needs two things quickly: a clear picture of what’s connected, and a written argument they can act on. Building both manually takes 10 to 15 minutes per alert. That time adds up.

DataWalk now automates both steps. When an alert triggers, the platform constructs the relevant link chart automatically and passes it directly to an LLM, which generates a structured written narration – the kind of documented argument an analyst needs before freezing an account.

The LLM summarises. It doesn’t predict, score, or categorise fraud type. That keeps the workflow outside model governance requirements while still eliminating the manual work.

The result: seconds instead of minutes. The same investigator handles more alerts in the same shift. And the architecture is already in place to go further when you’re ready.

If you’d like to explore what this could look like in your environment, get in touch.