Alex Kelleher: Turning AI into Business Outcomes at Quantum Rise
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In this episode of Constructed Futures, Hugh Seton sits down with Alex Kelleher, CEO of QuantumRise, to explore how organizations can successfully translate AI into real business outcomes. Kelleher emphasizes that while AI excitement is widespread, true success comes not from chasing hype or automating everything overnight, but from a human-centered, outcomes-driven approach. He draws parallels between today’s AI adoption and past technology waves—like CRM and the dot-com era—highlighting that sustainable success comes from patience, iteration, and learning from failure. QuantumRise’s solution, the Quantum Rise Operating System (QROS), is designed as a repeatable, integrated framework that combines governance, cybersecurity, change management, and process optimization to help mid-market companies safely experiment, scale pilots, and achieve measurable results. The conversation underscores the danger of 'shadow AI' and uncoordinated experimentation, and positions QROS as a strategic scaffold that enables organizations to leverage AI without sacrificing control or clarity. Kelleher also stresses the importance of understanding data value, using appropriate machine learning techniques beyond LLMs, and building teams with deep technical and historical knowledge to navigate AI’s rapid evolution. Key takeaways include: (1) AI success requires anchoring in human workflows, not just technology; (2) mid-market companies are the sweet spot for scalable AI transformation; (3) governance and orchestration are essential to prevent chaos from uncontrolled AI pilots; (4) not all AI problems need LLMs—simple, transparent models can be more effective and trustworthy; and (5) long-term AI strategy should focus on measurable business outcomes, not just innovation for innovation’s sake. The tone is constructive, grounded, and optimistic about AI’s potential when applied with discipline and experience.
AI success requires a human-first, outcomes-focused approach, not just tech experimentation.
Mid-market companies are best positioned to adopt AI at scale due to agility and decision-making speed.
Uncoordinated AI pilots lead to 'shadow AI'—governance and orchestration are essential.
Not all problems require LLMs; simpler, transparent models can be more reliable and effective.
Measurable business outcomes (e.g., cost, time, revenue) should anchor every AI initiative.
…and 3 more takeaways available in PodZeus
Introducing QuantumRise and the Human-Centered AI Vision
“It's really pretty straightforward. So we help people figure out what to do with AI.”
Learning from History: CRM, Dot-Coms, and the AI Cycle
Kelleher draws parallels between current AI adoption and past tech waves like CRM and the dot-com boom, highlighting that failure and slow progress are normal. He stresses that sustainable success comes from patience, learning, and avoiding both over- and under-adopting new tech.
The Problem with AI Hype and the Need for Measurement
“How do you know that that's moved the needle on something that's important to you, which is typically dollars and cents, right?”
Introducing QROS: The Quantum Rise Operating System
“We're calling it an operating system, the Quantum Rise Operating System with QROS for short, which is a bunch of shortcuts to get to where you need to get at a very repeatable reliable manner.”
From Shadow AI to Organized Experimentation
The episode addresses the risks of uncontrolled AI use—'shadow AI'—and how companies end up with thousands of unmanaged pilots. QROS is presented as the solution: a safe, coordinated environment for testing and scaling AI without chaos.
“How do you know that that's moved the needle on something that's important to you, which is typically dollars and cents, right?”
“As a human, there are situations where I need complete transparency about why the machine has taken a decision. You just don't get that with LLMs.”
“It's really pretty straightforward. So we help people figure out what to do with AI.”
Host
Guest
QuantumRise
organization
Alex Kelleher
person
Hugh Seton
person
LLMs
other
QROS
product
Machine Learning
other
Shadow AI
other
Construction Industry
other
CRM
other
Data Predictiveness
other
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