What personal AI means for the future of brand engagement

This article summarizes an episode of Alex Kantrowitz’s video series featuring Tony Bates, CEO of Genesys.

Image credit: Timmy Loen

The biggest threat to businesses is when a customer’s personal AI assistant remembers their preferences better than the brand does. Tony Bates, chairman and CEO of Genesys, warns that disconnected systems create a gap in customer trust.

To fix this, companies must improve their digital memory, rethink personalization, and use automated tools as digital teammates working alongside human staff.

Personal AI elevates consumer expectations

As digital assistants learn to recall past interactions, consumers are losing patience with brands that force them to repeat information.

Large businesses possess buyer data, but scattered systems create an illusion of corporate amnesia that exposes organizations to several risks:

• Competitive disadvantage: Buyers now compare telecom or banking support to digital experiences.
• Trust erosion: Forcing callers to repeat security steps proves an inability to harness historical records.
• Memory benchmarks: Bates warns that personal AI sets a new standard, noting that “It starts to become your working memory.”

True relevance replaces broad targeting

Moving beyond memory recall, organizations must transition from marketing assumptions to precise engagement by adopting new standards:

• Target immediate intent. Grouping buyers by purchase history is a guess, whereas relevance aligns with consumer goals.
• Align context with timing. Pitching a sales upgrade during a network outage satisfies internal metrics but destroys consumer trust.
• Anticipate automated evaluations. Buyers will soon rely on digital tools to judge brand interactions and shape purchasing decisions.

This precision requires shifting away from profiling frameworks toward models that solve problems. As Bates puts it, “personalization is understanding why you want something and giving it to you at exactly the right moment and doing it in the right way.”

Governance dictates the blended workforce

Delivering this personalization safely requires companies to implement oversight, treating automated interactions with the caution of self-driving vehicles. Organizations must manage this mixed workforce through an integration process:

• Start with human-guided processes for simple tasks before allowing independent AI action.
• Onboard digital tools with defined roles and permission limits.
• Measure software performance based on outcomes and error patterns.
• Assign human staff to moments where empathy impacts brand loyalty.

For executives, the test of leadership is blending human empathy with digital efficiency into a cohesive system.

⚖️ The other side: