Teaching AI How Enterprise Speaks
A customer asked us to make AI-generated training videos sound less robotic.
The fix turned out to be something harder — teaching the product how the enterprise actually speaks: its acronyms, its product names, and the words it can’t say aloud.
The voiceovers weren’t training-grade.
The engine read every word literally — acronyms, product names and compliance terms alike. In regulated training, that made exported videos sound robotic, and unusable.
This is what customers actually shipped — about forty-seven seconds of it.
Whatfix Flow export · Amazon Polly · unedited
ProductBoard sized the opportunity at $0K in ARR.
Roughly 0 video exports a month — and named accounts like Novartis, Maxwell Health and Heineken — were finishing videos in Articulate 360 and Camtasia instead of Whatfix. Solving the voice kept that demand, and that revenue, inside the platform.
Teams edited the audio by hand, recorded narration in external tools, and re-corrected the same terms after every export — over and over.
So it stopped being a support ticket — and became a cross-functional product initiative.
The same script. Here’s what changed.
We didn’t improve the voice.
We taught the product how the enterprise speaks.
We built this to prove the hypothesis before investing in production.
The same scenario, handled — and now about fourteen seconds.
Voice Lab output · natural pacing, correct terms
0s → 0s
Better narration, natural pronunciation, and clearer in a third of the time.
The prototype became production — almost line for line.
Which voice speaks — and what if the language isn't supported?

One persona per language shipped, with a graceful “Not Available” fallback.
How does an author fix a mispronounced name without touching the script?
A pronunciation dictionary, applied automatically at export.

Who owns the defaults when hundreds of authors export?
The admin sets them once; every author inherits them at export.

The customer asked for a better AI voice.
The investigation uncovered enterprise language.
The feature shipped as AI Voiceover. The capability endured as Content Handling.