Mikko Peltola
COO and Co-Founder • A-CX
Frisco, Texas, United States •
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About
I speak about AI the way it actually works in production, not in demos or conference keynotes. That distinction matters because most AI speakers are analysts, consultants, or academics. I'm an operator. I've built products used by tens of millions of people across six continents, led teams at Nokia and Microsoft, founded a product at F-Secure that became its own business, and co-founded an AI engineering company in 2020. When I talk about what AI can and can't do in a real organization, it comes from running those decisions myself, not from observing others run them. Specific reasons to book me: every talk is tailored to the audience and industry, I have recorded sessions available so you can hear exactly what you're getting, I'm based in Dallas and available across the US and in Europe (dual US/Finland citizen), and I speak on AI governance and security as well as AI in practice, so I can address both the opportunity and the risk in the same room.
Speaking Topics
Signature Programs (4)
What 28 years of building technology at Nokia, Microsoft, and F-Secure taught me about why most AI projects stall, and what the ones that succeed actually look like. A practical framework for moving from AI experimentation to production deployment.
Key Takeaways
- Why most AI projects stall between pilot and production, and how to avoid it
- The organizational conditions that separate successful AI deployments from failed ones
- A practical framework for evaluating AI investments before committing budget
Audience
C-suite executives, technology leaders, and business decision-makers navigating AI adoption
Format
Duration
45-60 minutes
Delivery
What generative AI actually changes about how teams work, where the productivity gains are real, and where the hype outpaces the evidence. Based on hands-on experience deploying AI across business functions at A-CX.
Key Takeaways
- Where generative AI delivers real productivity gains and where it does not
- How to evaluate AI tools without getting caught in vendor hype
- What leadership needs to put in place before AI can scale across a team
Audience
Business executives, department heads, and team leaders navigating AI adoption in their organizations
Format
Duration
45 minutes
Delivery
When AI moves from experiment to infrastructure, informal governance stops working. Who decides, who is accountable, and what happens when something fails. A practical framework for C-suite and technology leaders managing AI at scale.
Key Takeaways
- The three governance gaps that create the most risk when AI moves into production
- How to assign accountability for AI decisions without creating organizational bottlenecks
- What a practical AI governance framework looks like for a mid-size or enterprise organization
Audience
C-suite executives, CIOs, CTOs, and risk and compliance leaders managing AI across their organizations
Format
Duration
45-60 minutes
Delivery
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