Enterprise AI investment is up 44% year-over-year, yet 56% of leaders report zero ROI. The reason? AI is being built on fragmented communication infrastructure. Every time a customer switches channels, their context resets—forcing them to repeat their story, endure long wait times, and deal with disconnected bots that have no memory of their previous interactions.
In this session, Oscar Bonifassi, VP of Engineering at Centerfield, joins us for a fireside chat to break down the exact metrics and architecture they used to unite fragmented channels, eliminate repetitive customer friction, and finally turn AI pilots into profitable production value.
The exact architecture Centerfield used to unify voice, SMS, and web into one continuous customer conversation
How persistent context across channels eliminated friction and improved conversion
Concrete strategies and metrics to turn your AI stack into a measurable business asset
Discover how to eliminate the friction of dropped sessions and forced context resets across WhatsApp, SMS, and Voice
See the logic needed to seamlessly transition users from AI bots to live agents without losing context
See how a single context layer keeps customer identity intact so your systems always know who is calling and why