One way to think about it, if the first thing the algorithm can do is score its own confidence in its "level of contextual understanding" and "confidence score in the decision" then X.ai can put thresholds in place that get the threshold emails into the hands of actual humans when they need to be.
If the goal is 'up to 100% automation', the idea is exploit the 80/20 rule to launch quickly, and then pour money into making 80% -> 99%. So I guess the crucial question is, does the algorithm know its own limits?
The interesting pressure relief valve, is if a location isn't calculable with a high enough certainty, Amy would kindly ask her operator for assistance in resolving the quandary.
But our early beta users should not be to shy to cue in Amy:
- Amy, set something up with Lerer in Soho
- Amy, can you arrange breakfast with Matt and FirstMark please. They can pick a place.
- Amy, setup a data science / whiteboard chat for Prateek and I *
* My default meeting location is 48 Wall (Amy knows that, and simply assume I want this location used for a new candidate interview)
Could Amy differentiate Ken and Ben from the context?
The thing I'm puzzled by is how Amy can possibly follow the most important rule of physical meeting scheduling, namely: "you go to the money, the money doesn't come to you". In other words: vendor goes to startup founder's office, startup founder goes to VC's office, VC goes to LP's office... How does Amy know enough about your business hierarchy to respect that rule?