What separates organizations that talk about AI from those that actually redesign how work gets done? In this episode of Consulting the Future, I sit down with David Martin, Senior Partner at BCG, to explore what enterprise transformation really looks like beyond the headlines. This conversation goes straight to the heart of what consulting leaders are advising boards and C suites right now.

David leads BCG’s People and Organization business and sits on the firm’s global AI leadership team, which gives him a front row seat to how large organizations are approaching AI at scale. He shared why companies seeing real returns are doing fewer things with greater ambition, rather than launching hundreds of disconnected pilots. The difference is not access to tools, it is clarity of workflow and leadership intent.

We unpacked why so many organizations remain stuck in experimentation. According to David, the shift happens when leaders rethink work end to end, redesign roles, and embed AI directly into core processes rather than layering it on top. The firms making progress are not chasing marginal time savings. They are restructuring how value is created across functions such as engineering, marketing, and finance.

Training emerged as a defining theme. David explained why short workshops are rarely enough and why immersive, hands on learning makes the difference. Supportive leadership behavior increases effective adoption dramatically, and curiosity at the top signals psychological safety across teams. Consulting advice today is as much about mindset and culture as it is about architecture and infrastructure.

We also discussed agentic AI, governance risk, and the reality of shadow AI inside enterprise environments. While executives worry about low adoption, many employees are already experimenting outside formal systems. The consulting challenge is balancing innovation with controls, embedding governance without stifling momentum, and aligning IT, HR, and operating models around a shared framework.

David reinforced a simple but powerful model. Ten percent algorithms, twenty percent technology, and seventy percent people and process. That ratio has remained consistent across digital waves, and it continues to define where transformation efforts succeed or stall. Consulting firms like BCG are increasingly focused on redesigning workflows and redefining competencies, not simply recommending new tools.

As we look toward 2026, David sees acceleration ahead, particularly in healthcare and knowledge intensive sectors. The pace of change will not slow, which makes structured advisory support even more central to enterprise strategy. The question is no longer whether to adopt AI, but how to do so with intent, discipline, and a clear operating vision.

If you are a business or technology leader thinking about your own roadmap, this episode offers grounded insight from someone helping define the global playbook. What role should advisory firms play in shaping your transformation strategy, and where do you need external perspective most? I would love to hear your thoughts.

On this episode of Consulting the Future, I’m joined by Matt Strentz, co-founder of Iversoft, to unpack what the next wave of digital product development really looks like.

Matt takes us inside Iversoft’s journey from a small mobile studio at the dawn of the iPhone era to an international innovation partner trusted by enterprises and startups alike. We explore why mobile-first, multi-platform strategies are now essential for gathering real-time user feedback and building products that truly stick.

The conversation also dives into Iversoft’s process-driven consulting model, where transparency and quality assurance begin on day one. Matt shares how human-centered design and user experience must be baked into the foundation of every platform, and why AI should be treated as a practical productivity enhancer rather than a shiny buzzword.

From adapting lessons across industries like healthcare, aviation, and construction to building long-term client partnerships based on trust, this episode highlights a pragmatic approach to digital transformation. If you want to understand how to prepare your business for emerging technologies without falling into endless pilot projects, this conversation is packed with insights.

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When AI steps into the boardroom, it’s rarely a quiet arrival. Expectations are set high, with promises of sharper productivity, streamlined workflows, and measurable efficiency gains. But as Francesco Brenna, Global Leader of AI Integration Services at IBM Consulting, points out in this episode of Consulting the Future, the true opportunity lies in something far deeper than speed. It’s about reimagining the way entire businesses function.

Recorded during a sweltering summer in New York, our conversation breaks down what “agentic AI” really means for leaders under pressure to make AI more than a buzzword. Francesco draws a clear line between the passive assistants many companies have experimented with and the next generation of intelligent agents that not only advise but act. This shift, he argues, demands more than dropping AI into an existing system. It calls for rebuilding processes from the ground up with business outcomes as the starting point.

We dig into why data readiness remains the number one barrier to success, despite years of investment in platforms and governance. Francesco introduces the concept of “data products” to ensure AI agents operate with the right context and memory. He outlines IBM’s three-layer approach to agentic applications: user experience, orchestration, and data. He also explains why standards like Model Control Protocol (MCP) may be the key to integrating AI with legacy systems at scale without sacrificing security or trust.

Francesco shares real-world results from IBM’s work in customer service, insurance, and pharma, where agentic AI has dramatically improved containment rates, reduced months of work to weeks, and enabled smarter decision-making for knowledge workers. He is candid about the human side of adoption, detailing how IBM uses hackathons, hands-on experimentation, and human-centered design to build confidence and capability across the workforce.

For enterprise leaders grappling with how to move AI out of the pilot phase and into meaningful, measurable impact, this conversation offers a grounded, practical roadmap built on doing the right AI, and doing it right.

In this episode of Consulting the Future, I’m joined by James Osborne, Chief Digital Officer at KPMG UK, to explore how one of the world’s largest professional services firms is approaching AI with clarity, intention, and scale.

James shares what he’s learned in his first year as CDO, including the rollout of Ava, KPMG’s internal generative AI assistant now used by over 11,000 employees. We unpack how Ava is surfacing firmwide expertise, why adoption is about people before platforms, and how KPMG’s Trusted AI Framework is helping to embed ethical, human-centric principles into every use case.

We also dig into:

• The mindset shift required to move from AI hype to real-world impact
• How the “Summer of AI” initiative reached 16,000 participants across 14 countries
• The role of digital ninjas in driving cultural change
• How AI is augmenting professionals rather than replacing them
• Why KPMG is focused on curated knowledge and client-specific intelligence
• Lessons learned from early adoption, including why managing expectations matters

James also reflects on how AI can be both revolutionary and familiar, referencing the 1966 ELIZA chatbot as a reminder that hype cycles always have history. His advice to other organisations is simple: don’t wait to get started. Start small, stay pragmatic, and bring your people with you.

Why do up to 90% of new product launches still fail, even in the age of AI?

In this episode of Consulting the Future, I’m joined by Stuart Jackson, Vice Chair of L.E.K. Consulting and author of Predictable Winners, a new book that distills nearly four decades of innovation strategy into a practical framework for reducing failure rates in product and service development.

Stuart shares the hard truths behind failed innovation efforts, from siloed thinking and unmanaged risk to the myth of the “big idea.” He also reveals what top innovators do differently and how AI is beginning to play a critical role in spotting demand signals, identifying unmet needs, and shaping smarter bets.

We explore:

• Why many great ideas still fail without systems to manage risk across the innovation lifecycle
• How AI is improving forecasting, testing, and early-stage product screening
• The power of external innovation strategies like acquisitions and licensing
• Why speed matters, but discipline matters more
• What established firms can learn from startups without falling for the “fail fast” trap
• Real-world examples from litter robots to autonomous aircraft landings

Whether you're building a startup, leading R&D, or navigating innovation inside a Fortune 500, this episode is packed with grounded insights to help you innovate with more clarity, more precision, and a lot less waste.

If you want to shift from product guesswork to a repeatable innovation strategy, this is the place to start.

In this episode of Consulting the Future, I sit down with Brad Herndon, a partner in PwC’s Customer Transformation practice, to unpack the real-world challenges and opportunities at the intersection of customer data, AI, and marketing strategy.

Brad draws on over 20 years of experience in data and analytics to explain why businesses still struggle to use their data effectively, what’s changing in the way customer information is collected and applied, and how organizations can evolve their personalization strategies without crossing into territory that risks trust. He also reflects on the shift from isolated data silos to more unified, audience-level insights that still respect privacy and consent.

This conversation offers a clear-eyed look at the practical uses of AI, the limits of over-personalization, and the technologies helping companies move toward more relevant and respectful customer engagement. Brad also shares his thoughts on the value of slowing down, citing Cal Newport’s book Deep Work as a personal and professional inspiration for navigating this complex digital landscape.

If you want to understand how customer-centric strategies are evolving inside real enterprises, and how firms like PwC are helping shape that future, this is the episode to hear.

In this episode of Consulting the Future, I sit down with Varun Bijlani, Global Managing Partner for Hybrid Cloud Services at IBM Consulting, to unpack the real-world challenges and opportunities facing enterprise leaders today.

Varun shares candid insights on why the shine has come off many digital and cloud transformations and what needs to change to deliver measurable returns. We discuss the pitfalls of being hybrid by default and how a hybrid by design strategy can radically shift how businesses deploy AI, manage data and keep costs in check.

Drawing from global client examples, Varun outlines how companies are moving from generic IT spending to targeted investments that protect margins, speed up time-to-market and unlock new value from AI-driven innovation. We also touch on the future of infrastructure, from embedded security and energy efficiency to the evolving role of agent-based AI.

If you are navigating the next phase of your company’s cloud journey or questioning how to align IT architecture with financial results, this conversation will give you a clear-eyed perspective from someone helping shape transformation at scale.

Listen in and join the discussion on how consulting, design thinking and practical frameworks can turn technology promises into real business performance.

What does reinvention look like inside a global consulting firm with nearly $20 billion in revenue? In this episode of Consulting the Future, I speak with Mohamad Ali, Senior Vice President at IBM Consulting, about how the company is navigating the shift toward generative AI—one practical use case at a time.

Mohamad brings a rare blend of experience across cybersecurity, data, and enterprise software, shaped by leadership roles at IDG, Carbonite, and now IBM. This conversation unpacks how that background is informing IBM Consulting’s current transformation, including how teams are working differently, where AI is being applied effectively, and why an open ecosystem matters now more than ever.

We look closely at how generative AI is already changing day-to-day consulting work. From improving decision speed to redesigning complex workflows, Mohamad shares examples of client engagements that show real outcomes rather than hypothetical benefits. There’s a strong focus on using AI to amplify human expertise, not displace it—a theme that carries through his approach to upskilling and workforce development.

As consulting shifts toward more software-driven models, Mohamad outlines how IBM is adapting its own culture and mindset to stay relevant in a digital-first environment. That means faster iteration, deeper client collaboration, and new ways of thinking about what consulting looks like in the age of automation.

If you're wondering how to build an AI strategy that works in the real world—not just in pilot programs—this conversation offers grounded insights from inside one of the largest consulting organizations on the planet. It also raises a broader question that every leader should be asking: how do we make AI something that empowers, rather than replaces, the people at the heart of our businesses?

Listen in to learn how IBM Consulting is approaching the future—not as a trend to chase, but as a challenge to shape.