At Empwr.ai, accuracy isn’t an afterthought—it’s essential to building trust. That’s why we’ve introduced a new multi-pass fact-checking process to make sure your meeting outcomes are as reliable and actionable as possible.
How It Works
Just like journalists and analysts refine their work through multiple editorial passes before publication, Empwr.ai now applies a similar process to your meeting outcomes.
Here’s what happens:
- Draft Creation – After your meeting, our AI generates an initial draft outcome based on the transcript.
- Section-by-Section Review – Each part of the outcome—such as action items, decisions, and key discussion points—is independently reviewed in a focused fact-checking pass. We reference your original transcript as the source of truth to ensure accuracy.
- Context-Aware Refinement – Our reasoning-based AI models reflect on their own work, making edits to clarify details, confirm assignments, and distinguish between real decisions and casual suggestions.
For example:
- Action Items: Does it make sense that this person was assigned this task?
- Decisions: Was this truly a decision, or just an idea mentioned in passing?
Why This Matters
Meetings are where commitments are made and direction is set. Inaccurate or unclear notes can lead to confusion, missed deadlines, and costly rework. By applying iterative, transcript-grounded fact checking, Empwr.ai ensures that the information you rely on reflects exactly what happened in the room.
The result: meeting outcomes that aren’t just fast—they’re trustworthy.
This upgrade is now live for all Empwr.ai customers.
