Your AI agents are only as good as the data behind them.
The promise of conversational AI is a customer who never has to repeat themselves.
The reality usually falls short, and it’s rarely the model’s fault. Most agents simply don’t have the context to know exactly who they’re talking to or what happened in the last interaction.
In this session, McGaw and Twilio show why so many customer conversational AI projects underdeliver, what a solid data foundation needs to look like, and what becomes possible when it’s in place.
What we’ll cover
- Why conversational AI underdelivers, and why it’s almost never the model
- Long-term customer data vs. real-time conversation memory, and why you need both
- What your data foundation has to get right before AI can use it
- A real example of profile data powering a smarter, more personal conversation
Key takeaways
By the end of the webinar, you’ll be able to:
- Diagnose whether your data foundation is ready to support conversational AI
- See how unified profile data grounds a more relevant, personal conversation
- Understand how a CDP and a conversational layer work together, rather than overlapping
- Prioritize a practical first step based on where you’re starting from
Presented and Hosted By:
Nik Friedman-Tebockhorst
Nik is the VP of Solutions at McGaw, and has more than 20 years of experience serving as an integrated marketing, technology, and business strategist. He specializes in leveraging technology and data to drive revenue. Nik has helped hundreds of companies, including Walmart, ServiceTitan, Data.ai, Caesar’s Gaming, and the National Alzheimer’s Association.
Safdar Jaffari
Safdar Jaffari is a Principal Partner Solutions Architect at Twilio. Bridging platform innovation and partner strategy, he equips a broad ecosystem of technology and consulting partners with technical and go-to-market expertise. His work enables partners to build robust joint solutions and scale their businesses using Twilio’s customer engagement infrastructure.
