AI-First Strategy at Scale: Pega's Roadmap with David Vidoni - The Digital Transformation Playbook

Topics in this episode

Agentic AI generative AI Artificial intelligence Autonomous AI Intelligent automation

Episode notes

Token subsidies are fading, AI prices are rising, and suddenly the fun part of experimentation comes with a nasty surprise: runaway spend. We dig into what that shift means for CIOs and IT leaders who still need to ship results, protect budgets, and prove ROI. If you have spent time counting tokens or worrying that one enthusiastic pilot will burn through a month’s AI budget, this conversation is for you. David Vidoni, CIO at Pega, shares why predictable cost matters as much as model capability and how “charging for outcomes” changes the way you govern AI. We talk about the practical tension between creativity and cost control, and why leaders should pause and ask whether AI is genuinely the best tool for a given challenge. The goal is not to slow innovation down, but to stop wasting energy on spend anxiety and refocus on measurable business value. We also get concrete on delivery: how Blueprint supports a design-first approach that clarifies what you are building before you build it, reduces costly mistakes, and speeds up time to first release. You will hear real internal stats, plus what it takes to deliver secure, compliant, repeatable outcomes rather than variable answers.