Insights | Quantum Rise

Practical thinking for AI-led growth.

Ideas, frameworks, and field notes from the front lines of AI transformation — covering QR/OS™, governance, agents, adoption, data, and the future of work.

Why we built QR/OS — and why now

The question CEOs are asking has shifted from 'what could AI do?' to 'how do we get this into the business safely?' Quantum Rise founder Alex Kelleher explains why that shift is exactly why QR/OS™ exists — a repeatable operating system for turning AI experimentation into operational impact.

AI Fluency: The Strategic Competency for Finance Leaders

As AI takes on more of Finance's analytical work, competitive advantage shifts from producing information to questioning, interpreting, and acting on it. AI fluency is the strategic competency CFOs and finance professionals need to capture value, manage risk, and lead transformation.

Collaboration Between University, Quantum Rise, and Industry Drives Innovation in Patient Care

Quantum Rise and UC San Diego's Rady School of Management collaborated on the Agentic Nurse Solution — a capstone project applying agentic AI to help nurses identify patient clinical deterioration earlier and make better clinical decisions.

Quantum Rise Named an OpenAI Select Partner

Quantum Rise has been named an OpenAI Select Partner within the OpenAI Partner Network, recognizing its commitment to delivering exceptional customer outcomes with the highest standards of safety and responsible AI practices.

AI-Native SDLC: The Quantum Rise Perspective

Application development is moving past AI-assisted coding into orchestrated, agentic workflows. Most companies treat this as a tooling upgrade. It is a structural change to how engineering teams are organized, how product requirements are written, and how quality is measured.

Why 72% of Companies Adopt AI, But Only 6% Capture Transformative Value

The adoption numbers are up. The value isn't. Discover why the gap between AI adoption and AI outcomes is a capability problem — not a technology problem.

Incorporating User Feedback into GenAI Applications

Deploying a GenAI application is the beginning of the improvement process, not the end. Quantum Rise sets out why user feedback loops, planned improvement cycles, and properly staffed post-launch engineering are what separate applications that get better from those that quietly degrade.

Quantum Rise introduces QR/OS™, an AI operating system for growth

Quantum Rise announces QR/OS™ — an AI operating system built for mid-market companies that are too complex for off-the-shelf tools but lack the internal AI teams of large enterprises. It's not SaaS; it's a repeatable system combining people, governance, agents, and reusable building blocks.

Claws and Harnesses: Quantum Rise Perspective

Claws are an emerging category of AI agent with real capability and real risk. Harnesses — the governance, access, and oversight controls that make Claw deployment safe — are what most organizations are still building. This Quantum Rise perspective sets out what Claws are, where the risks lie, and how to establish the Harnesses that make adoption sustainable.

AI Ethics Isn't a Governance Problem - It's a Sequencing Problem

By the time most organizations are ready to ask the AI ethics question, the decisions that determine the answer have already been made. Before working at Quantum Rise, I spent years helping organizations understand impacts.

Human+Machine Digital Magazine — Issue #1

The first edition of the Human+Machine Digital Magazine is now available! Throughout this issue, we explore the use of artificial intelligence in companies, from data strategy to the human side of transformation, as well as its impact across specific sectors and on investment decisions. We also look at a more recent development: the entry of AI agents into day-to-day operations. Rather than focusing on the technology itself, the goal is to bring clarity to what enables AI to work consistently.

Davos: The One Thought That Followed Me Home

I came back from Davos with a familiar feeling, and it was reinforced by a World Economic Forum article published recently: “Davos 2026: Leaders on why scaling AI still feels hard - and what to do about it.”

Quantum Rise Brings on Former Bain, EY-Parthenon, and Nielsen Leader Louise Keely as Managing Director, Consumer

CHICAGO | January 8, 2026 — Quantum Rise today announced that Louise Keely has joined the firm as Managing Director, Consumer, marking a major senior-level hire as the company scales its Consulting 2.0 model and deepens.

Why AI is a Reckoning for Traditional Consulting

For decades, traditional consulting firms have influenced how businesses think, plan, and act. They’ve built empires on slide decks, proprietary frameworks, and elite talent pipelines. But AI doesn’t respect empires.

Understanding Artificial Intelligence: A Beginner's Guide

An introduction to the world of AI from our Chief AI and Technology Officer.

Beyond Automation: Why AI Will Redesign Work—and How Quantum Rise Leads the Charge Part 1

Part 1 of a Harvard guest series on AI and the future of work. AI isn't just automating tasks — it's redistributing cognition itself. This piece traces the arc from Aristotle to transformer models, and argues that if designed well, AI could unlock a humanistic renaissance in how we work and think.

Bridging the Gap: Practical Tech Tools for Every Team

You don't need to be an engineer to get real value from the tools engineers use. Quantum Rise's data practitioner shares practical starting points — from Google Colab and Python automation to working more effectively with technical teammates — for every non-technical professional.

The 4 Blind Spots Putting Your LLMs at Risk

Traditional cybersecurity frameworks weren't built for LLMs — and the gap is already being exploited. Quantum Rise outlines the four most dangerous blind spots teams encounter when deploying generative AI, from trusting outputs uncritically to inheriting third-party model risks.

Copilot, not Autopilot: Tips to get the most out of an LLM

LLMs are like brilliant interns — full of potential, but only valuable with the right direction. Quantum Rise's Dan O'Sullivan shares five practical tips for getting sharper, more useful responses from ChatGPT, Copilot, Gemini, and similar tools.

The Case For Responsible Data Collection

When Workday's AI hiring tool was found to discriminate against workers over 40, the culprit was biased training data. Quantum Rise's Matt King outlines seven steps to responsible data collection — and why getting the foundation right is the only way to build AI you can stand behind.

Innovation Is the Missing Link to AI Success

The AI boom is here, and it's not slowing down. This rapid evolution can feel like both an opportunity and a challenge for business leaders. AI has the potential to optimize workflows, unlock smarter decision-making.

Unlocking the Power of AI: A 3-Step Blueprint

Successful AI adoption isn't about the tools — it's about clarity of goals, quality of data, and building a team that actually embraces a data-driven way of working. Quantum Rise lays out a practical three-step blueprint any organization can follow.