Turning AI Ambition Into Real Business Value

What does it really take to move AI from endless experimentation into something that creates real business value? In this episode, I sat down with Tom Alexander, Head of Innovation and Transformation at CrossCountry Consulting, to talk about why so many organizations still struggle to turn AI ambition into meaningful outcomes.

Tom works closely with executive and CFO teams that are either unsure where to begin or frustrated that early AI efforts have not delivered what they hoped for. We talked about why this is rarely just a technology issue. In many cases, the real blockers are ownership, change management, weak alignment across the business, and a failure to connect AI initiatives to the problems that matter most.

One of the big themes in our conversation was the need to treat AI as an enterprise-wide program rather than a collection of isolated tools. Tom shared how leaders can focus on business processes first, identify where automation can genuinely improve performance, and avoid getting distracted by hype. We also unpacked the growing accountability challenge around AI, including who should own it, how stakeholders can align, and why strong foundations in data, governance, and training matter so much.

This episode is packed with practical takeaways for anyone trying to make sense of AI adoption inside a business. If you are trying to figure out where to start, how to scale, or how to avoid another stalled initiative, there is a lot in here for you. After listening, I would love to hear your thoughts. How is your organization approaching AI, and where do you think most businesses are still getting it wrong?

Useful Links

Det här avsnittet är hämtat från ett öppet RSS-flöde och publiceras inte av Podme. Det kan innehålla reklam.

Avsnitt(2000)

Moving Enterprise AI From Hype to Accountable Results With Freshworks

Has enterprise AI finally reached the point where impressive demonstrations are no longer enough? In this episode, I speak with Murali Swaminathan, CTO at Freshworks, about the growing pressure on AI ...

28 Aug 22min

Building Infrastructure That Can Govern AI Agents With Broadcom

What happens when an organization writes careful AI governance policies but its infrastructure cannot enforce any of them? In this episode of Tech Talks Daily, I speak with Sabina Anja, Chief Technolo...

27 Aug 25min

Turning Rising AI Cloud Costs Into Business Value With Unravel Data

What does a rising cloud bill actually tell you about the value your business is creating? Eight years after our first conversation, I welcome Kunal, co-founder and CEO of Unravel Data, back to Tech T...

27 Aug 27min

Testing AI That Never Stops Changing With UL Solutions

How can an independent safety evaluation remain meaningful when the AI inside a product may change after its next update? In this episode of Tech Talks Daily, I speak with Dr. Robert Slone, Senior Vic...

26 Aug 29min

Reducing NHS Waiting Times Through Patient Self Scheduling With Nordic

Could allowing patients to choose their own appointment times help reduce missed visits and shorten NHS waiting lists? In this episode of Tech Talks Daily, I speak with Alison MacDonald, European Lead...

26 Aug 36min

Breaking Customer Service Silos With Fin AI Agents

What would change if a customer could return three days later through a different channel and continue the same conversation without repeating a single detail? In this episode of Tech Talks Daily, I s...

25 Aug 28min

Moving AI Beyond Black Box Answers With Neo4j

Can organizations trust an AI recommendation when they cannot understand the evidence, relationships, and previous decisions behind it? In this episode of Tech Talks Daily, I welcome back Jim Webber, ...

24 Aug 28min

Building the Business Context Autonomous AI Agents Need With Reltio

What does an AI agent need to understand about your business before you allow it to make decisions and take action without waiting for human approval? In this episode of Tech Talks Daily, I speak with...

23 Aug 30min