What the Best AI Strategies Have in Common | Tinder on Customers

Bonnie Tinder is the founder and CEO of Raven Intelligence, an
independent B2B peer review site that amplifies the voice of the
customer. She focuses on software customers, consulting partners,
and software vendors and helps identify the best partners for
their needs. In this episode, she shares powerful insights from
leading organizations on how AI is being used not to replace
employees, but to enhance experiences, streamline operations, and
drive better business outcomes through purpose-driven,
human-centered deployment strategies.


Episode 56 | Human-Centered AI Strategies


The Big Themes:



Augments, Not Replaces Humans: AI should
enhance the human experience, not eliminate it. Real-world
examples, such as Marriott’s use of AI to improve the check-in
process, demonstrate that AI can remove operational friction
and allow frontline staff to focus on hospitality and customer
engagement. In the energy sector, utilities are embedding AI
into safety systems to make work more accurate and proactive.
These examples show that the most successful AI deployments
begin by identifying pain points in human workflows.


Cultural Readiness Is Crucial for AI Success:
AI adoption is not just a technical project; it is a cultural
transformation. Multiple examples made it clear that even the
most advanced tools can fail without the right introduction.
One university CHRO compared AI implementation to sneaking
vegetables into meals. By avoiding technical jargon and
focusing on small improvements, they saw stronger adoption.
People often resist what they do not understand, especially
when it feels like a threat. Leaders who frame AI as a tool for
reducing stress, reclaiming time, and increasing impact are
more likely to succeed.


AI Should Start with Outcomes: Real AI value
begins with the business goal, not the technology itself.
Companies that succeed with AI are the ones that begin by
identifying the result they want to achieve. Whether it's
streamlining hotel check-ins, reducing safety risks in energy
infrastructure, or accelerating clinical breakthroughs,
effective strategies start with specific problems. These
companies ask their teams where the friction lies, and then
choose tools to fix those issues. This is a shift from a
technology-first mindset to an outcome-first mindset.



The Big Quote: “I hope you know business people will all start to
get to the point of like, yes, the nature of work is going to
change. But AI is not going to spell doom and gloom for every
worker on Earth. It's going to give many, many, many of them an
opportunity to do better things."


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