Technology-Enabled Compliance with Jeff Wise from Newbold Advisors

In this insightful episode of the Qredible Live Broadcast, the team is joined by Jeff Wise, Managing Director at Newbold Advisors, to dive deep into the convergence of technology, compliance, and risk management — especially within the evolving cannabis industry. With decades of experience in financial services and risk leadership, Jeff brings unparalleled knowledge to the table, drawing parallels between the mortgage crisis and the current regulatory maturation of the cannabis space.

Together with Brian Fitzpatrick, the hosts break down:

• The cannabis industry's “regulatory pendulum” and how it mirrors other industries’ evolution

• The shift from firefighting mode to fire prevention via proactive compliance

• Why many cannabis companies are still stuck in manual processes (Google Sheets, paper checklists!) — and what it’s costing them

• The critical importance of enterprise tools vs. seed-to-sale tracking platforms

• The massive role AI will play in compliance — and the governance risks it introduces

• Third-party risk management, illustrated with real-world case studies (including vendor-related shutdowns)

• How fractional CTOs and targeted tech assessments can offer ROI without huge spend

• The importance of embracing “corporate process thinking” in an industry historically rooted in non-traditional ops

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🔍 Key Topics:

• 🚨 Compliance in cannabis: Where companies are vulnerable

• 🧠 Tech & AI: Powerful, but risky without governance

• 🔧 Tech assessments: Knowing where to invest (and why)

• 💡 Lessons from the 2008 mortgage crisis for cannabis leaders

• 📉 The true cost of legacy workflows

• ⚖️ Fairness and artificial intelligence: A compliance landmine?

• 🔄 Managing third-party and vendor risks proactively

• 🛡️ How regulatory oversight is tightening — and what to do before it’s too late

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🧠 Notable Quotes:

“You can outsource the function — but you can’t outsource the risk.”
— Jeff Wise

“AI is an amazing tool, but garbage in, garbage out — your model is only as good as your data.”
— Brian Fitzpatrick

“Technology isn’t the silver bullet — bad processes just become faster bad processes.”
— Jeff Wise