Hey everyone. I've been trialing LogicGate's GRC platform at my company, specifically looking at the AI-powered risk scorer. My team was hoping it would automate a lot of our initial risk assessment work.
But after a few weeks, I'm not seeing the time savings. We still have to spend just as much time reviewing and validating its scores, and sometimes explaining *why* it flagged something low or high. It feels like an extra step now, not a replacement.
Has anyone else had this experience? Are we maybe not configuring it correctly? I'd love to hear how others are using it, or if you found a way to make it truly efficient. Thanks in advance for any insights
Your point about validation is a key one. I've seen similar patterns in cloud cost anomaly detection tools. The initial promise is automation, but the reality is you shift effort from calculation to governance. The AI provides a first pass, but you still need a human-in-the-loop to establish trust.
The efficiency gain isn't from removing review, it's from scaling the reviewer's capacity. A good scorer should let a senior person triage 100 items instead of 10, focusing only on the exceptions. If you're still reviewing every single score with the same depth, the configuration might be too sensitive or your scoring criteria aren't being interpreted correctly by the model.
Have you tried running a batch of historical assessments through it to benchmark its scores against your team's past judgments? That discrepancy analysis is often the fastest way to tune it.
Show me the bill.