Jimmy Sebastian of FourKites talks about AI; visibility; the problem with 'AI-washing;' the simple steps to get started; & how to measure scalable success.

IN THIS EPISODE WE DISCUSS:

[02.57] An introduction to Jimmy, his background, and role at FourKites.

"I care about AI that's not just powerful, but explainable, secure, and enterprise-ready."

[04.38] An overview of FourKites, their evolution, the three layers that make up their offering, and the customers they serve.

[07.28] How visibility has evolved from differentiator to table stakes, what that means for businesses, and how agentic AI is helping to bridge the gap.

"10 years ago, knowing where your truck was was a great competitive advantage. Today, everybody has that… The problem we see now is that companies are information rich, but action poor… Visibility tells you there's a problem, but it doesn't fix it."

[09.46] The difference between an AI agent and a chatbot.

"It's almost like a team mate that gets the job done."

[12.18] The impact 'AI-washing' is having on leaders and teams, how to avoid getting stuck in 'pilot purgatory,' and how companies can cut through the noise.

"Slapping AI on everything breeds skepticism, teams get burned by pilots and once burned, twice shy."

[17.14] Finding the balance for governance – understanding areas that need to be tightly controlled versus kept loose enough for innovation.

[19.33] An overview of persona-based AI agents and how they're different, why they're a good fit for supply chain, and how they can help drive adoption.

"Some organizations have gone the route of building one giant monolithic AI brain – we've built a team."

[23.22] What AI agent autonomy really means, and finding the right balance between independence and control.

"We need agents to be autonomous because that's ultimately where the value is… but it has to be under controlled conditions. It's not all or nothing. It's a dial, not a switch."

[25.38] The best practices for developing that correct level of autonomy, and red flags to look out for if organizations aren't seeing the right results with AI agent autonomy.

"It needs to be actively managed."

[30.20] How organizations can find the balance between people and technology, and what change management and AI trust-building should look like.

[33.06] How teams can get started with AI agents, the best workflows to test first – and why you don't need perfect data to start.

[35.18] What success should look like, and how organizations can think about measuring it, in the short and longer terms.

[37.52] From self-healing supply chains to shifting human responsibilities, the future developments we can expect in supply chain AI.

RESOURCES AND LINKS MENTIONED:

Head over to FourKite's website now to find out more and discover how they could help you too. You can also connect with FourKites and keep up to date with the latest over on LinkedIn, Facebook or YouTube, or you can connect with Jimmy on LinkedIn.

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