Guidewise

In five days, Guidewise co-founders Ted Wolf and George Wolf will be in New York City with IBM and partners for AI in Action, where we’ll explore what it really takes to move from AI experimentation to enterprise-scale ex*****on.

At Guidewise, we help organizations bridge that exact gap — designing, building, and deploying AI systems and intelligent agents that deliver measurable adoption and ROI. Because technology alone doesn’t transform a business — people do.

We’ll share how leading companies are using IBM watsonx to build:
✅ AI delivery pipelines that are reliable, governed, and scalable from pilot to production
✅ Data and model governance frameworks that ensure transparency, security, and compliance
✅ Change management and workforce coaching systems that equip teams to thrive alongside AI

If you’re wondering how to take your own AI initiative from idea to impact — or how to build adoption confidence across your teams — this event will be one to follow.

Stay tuned for live insights from the stage and stories from the field.

Arrow Electronics

Most companies know they should be doing more with AI—but where do you actually start?

Guidewise Co-Founder & CEO Ted Wolf recently joined Loren Feldman on the 21 Hats podcast to share real-world advice for business leaders navigating that first step.

From choosing the right AI tools and protecting your data to getting your team on board, Ted offers a roadmap any company can follow—plus a simple ChatGPT trick for running a competitive SWOT analysis in minutes.

🎙️ Listen to “You Probably Should Be Doing More with AI” here: https://21hats.substack.com/i/176031370/the-hats-podcast-dashboard

You Probably Should Be Doing More with AI In our latest Dashboard podcast, a successful entrepreneur explains how business owners can make better use of AI technology.

Think AI is still experimental? Think again.
Great insights from Google Cloud's Moe Abdula on the shift from AI experimentation to ROI-driven implementation. But here's the gap: advanced AI infrastructure means nothing if your people aren't ready to use it.
While enterprises focus on TPUs and model migrations, the real bottleneck isn't technical—it's human. Emotional resistance and belief misalignment are silently derailing even the most sophisticated AI deployments.
The question isn't whether your AI infrastructure can scale—it's whether your people can. Contact us today to schedule a consultation.

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