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Host Jeff Cass interviews Mart Rovers, founder of Rovers Strategic Advisory, about how mid-market leaders can adopt AI without creating major risk. Rovers argues that AI governance is an enabler, not red tape, because it clarifies decision rights, ownership of risk, and escalation paths before go-live. He highlights common mid-market gaps in data quality and inconsistent definitions (e.g., what counts as a “customer”), warning that AI amplifies “garbage in, garbage out” and can hallucinate or drift in accuracy. They discuss “shadow AI,” where employees use public tools like ChatGPT and unknowingly expose company data, and recommend using protected, behind-the-firewall options when needed. Rovers emphasizes that CEOs ultimately own AI outcomes, that vendor vetting and data ownership matter, and that successful AI requires early, cross-functional collaboration across legal, finance, HR, risk, and IT.
01:17 Steering Wheel and Brakes
01:49 Governance Speeds Decisions
04:53 Data Quality Comes First
08:56 Garbage In Garbage Out
10:51 How Mart Uses AI
12:38 Shadow AI and Privacy
18:06 Who Owns the Mistake
20:31 Vetting AI Vendors
22:56 What CEOs Should Do Now
26:03 AI Is Not If Then Else
28:18 Why AI Projects Fail
30:18 Rovers Advisory Approach
33:15 Final Advice for Leaders
35:42 Closing Thanks and Wrap
Connect with Mart on LinkedIn or by email:
https://www.linkedin.com/in/martrovers/
I hope you enjoy this episode! Give it a like and subscribe if you'd like more content like this :) @JeffCass-ImpactCoaching
Middle Market ($10M to $1B annual Sales) Businesses make up 3-4% of US businesses but represent over 1/3 of our private sector GDP and consistently grow 2-3x's faster than their smaller or larger counterparts...WOW!! These companies are extremely important to our economy!!
Join me as I share the journeys of leaders who run these "Rock Star" middle-market businesses in the US.
By Queen City Podcast NetworkHost Jeff Cass interviews Mart Rovers, founder of Rovers Strategic Advisory, about how mid-market leaders can adopt AI without creating major risk. Rovers argues that AI governance is an enabler, not red tape, because it clarifies decision rights, ownership of risk, and escalation paths before go-live. He highlights common mid-market gaps in data quality and inconsistent definitions (e.g., what counts as a “customer”), warning that AI amplifies “garbage in, garbage out” and can hallucinate or drift in accuracy. They discuss “shadow AI,” where employees use public tools like ChatGPT and unknowingly expose company data, and recommend using protected, behind-the-firewall options when needed. Rovers emphasizes that CEOs ultimately own AI outcomes, that vendor vetting and data ownership matter, and that successful AI requires early, cross-functional collaboration across legal, finance, HR, risk, and IT.
01:17 Steering Wheel and Brakes
01:49 Governance Speeds Decisions
04:53 Data Quality Comes First
08:56 Garbage In Garbage Out
10:51 How Mart Uses AI
12:38 Shadow AI and Privacy
18:06 Who Owns the Mistake
20:31 Vetting AI Vendors
22:56 What CEOs Should Do Now
26:03 AI Is Not If Then Else
28:18 Why AI Projects Fail
30:18 Rovers Advisory Approach
33:15 Final Advice for Leaders
35:42 Closing Thanks and Wrap
Connect with Mart on LinkedIn or by email:
https://www.linkedin.com/in/martrovers/
I hope you enjoy this episode! Give it a like and subscribe if you'd like more content like this :) @JeffCass-ImpactCoaching
Middle Market ($10M to $1B annual Sales) Businesses make up 3-4% of US businesses but represent over 1/3 of our private sector GDP and consistently grow 2-3x's faster than their smaller or larger counterparts...WOW!! These companies are extremely important to our economy!!
Join me as I share the journeys of leaders who run these "Rock Star" middle-market businesses in the US.