What happens when AI moves from exciting demos to enterprise reality, and your team suddenly has AI sprawl, shadow IT, and a governance headache in the same week? 🤖đź§
In this edition of Executive Conversations, Daniel Kube, CEO servicePath™ sits down with longtime CEO peer and AI builder Rob Cece (Soft House Group, Soft House Advisory) to unpack what executive teams are getting right, what they’re underestimating, and how to make AI decisions that don’t collapse under their own speed.
Rob shares his path from developer → CIO/CISO → founder, how merging two businesses made them “instantaneously global,” and why his firm began productizing their hard-earned delivery knowledge into AI-driven offerings. From Prodia (an AI companion for product managers) to practical anonymization + governance workflows, this conversation stays grounded in what leaders are actually facing: compliance gaps, tool overload, and the challenge of staying curious without derailing execution.
Daniel brings the operator’s lens, including real-world examples like SOC 2 policy work (Drata), the rise of agentic models, and why embedded, contextual AI (think: your internal knowledge base and tickets) can outperform “open web” outputs when you need a reliable BS filter.
If you’re trying to scale AI responsibly across Sales, Product, IT, Security, and Ops, this episode gives you a pragmatic way to think about rubrics, revisit cycles, and governance that enables innovation instead of choking it.
What you’ll learn:
How to balance innovation vs. execution using an 80/20 operating model
Why most AI initiatives fail when they start “bottom-up” without exec alignment
How to reduce AI tool sprawl without slowing momentum
Practical guidance on private (in-house) LLMs vs. public models, and when to use each
Why anonymization and “human-in-the-loop” validation are becoming core AI capabilities
How agentic AI may shift workflows from standalone tools to built-in, automated execution
A candid take on AI risk: hallucinations, governance, auditability, and compliance maturity gaps
Who should listen:
C-level leaders, VPs, and transformation owners in tech-enabled enterprises who are:
rolling out GenAI across teams,
trying to control risk and shadow IT,
modernizing revenue, delivery, and product workflows,
or deciding whether to build, buy, or blend AI models.
Want an AI governance rubric your exec team can actually use? Connect with Rob on LinkedIn: / robert-sestito
or reach out to his team at Soft House Advisory.
Exploring AI-enabled revenue workflows (Sales, pricing, approvals, quote-to-cash)? Follow www.servicepath.co for more Executive Conversations.