Podcast
Advising the Advisors: AI in Consulting Unlocked
Hosted by Kenley · EN
Welcome to Advising the Advisors: AI in Consulting Unlocked, a show by Kenley, where we flip the script on traditional consulting by putting consultants in the hot seat. Hosted by Bolu Ben-Adeola, this podcast is your front-row ticket to understanding how generative AI can revolutionize management consulting.
We'll challenge industry assumptions, share real-world success stories, and map out practical strategies for integrating AI. Whether you're a senior partner at a global firm or an aspiring consultant looking to stand out, each episode offers valuable insights on deploying bespoke AI solutions that drive impact.
Tune in to discover how you can lead the next wave of AI-driven consulting and become the go-to advisor within your organization.
10episodes
Episodes
Newest firstAll episodes
Trust Over Tools — Neha Mongia on AI, Pharma & Consulting’s Human Edge
Jul 15, 202500:27:16Tap to summarizeAI is reshaping life sciences consulting, driving transformation across drug discovery, clinical trials, and healthcare delivery while reinforcing the irreplaceable value of human expertise and trust.In this episode of Advising the Advisors: AI in Consulting Unlocked, host Bolu Ben-Adeola sits down with Neha Mongia, a Principal in the Global Life Sciences at Korn Ferry, to explore how AI is revolutionizing pharmaceutical and biotech industries while reshaping the consultant-client relationship.What You’ll Learn:How AI is transforming drug discoveryWhy data standardization remains the biggest challenge in healthcare AI adoptionHow regulatory bodies like the FDA are embracing AI tools while maintaining human oversightThe trust paradox in consultingHow personality differences across functions impact AI adoption and implementationWhy successful AI implementation requires function-specific integrationNeha Mongia is a Principal in the Global Life Sciences practice at Korn Ferry, bringing over a decade of experience as a strategist advising leadership teams across pharmaceutical, biotech, and health tech industries. She specializes in guiding senior leaders through organizational transformation, with a particular focus on how AI is reshaping drug discovery, precision medicine, and remote care. Neha's expertise spans the entire life sciences value chain, from R&D to commercialization, where she helps organizations navigate the intersection of traditional pharmaceutical practices and emerging technologies.Episode Highlights:[07:53] How AI Is Speeding Up Drug DiscoveryAI is already revolutionizing life sciences, from decoding proteins with tools like AlphaFold to speeding up patient recruitment for clinical trials. However, to truly unlock its potential across research, development, and bedside care, we need to tackle one big roadblock: messy, non-standardized healthcare data. For AI to work its magic, we must clean up our data act.[12:52] FDA’s Secret AI BotsIt's easy to think of AI as just futuristic hype, but it's already making a real impact behind the scenes in pharma, from smarter regulatory reviews to helping medical teams practice doctor conversations with AI chatbots. The big lesson? Don't wait to see where AI fits; get curious now about how these tools can streamline your everyday work, make you more persuasive, and free up your time for what really matters.[21:05] What’s Really Blocking AI Adoption in Pharma?No matter how powerful AI tools are, they won't be used if people feel threatened, unsupported, or disconnected from the value they bring. The real barrier isn't technology; it's mindset. To drive AI adoption in pharma, leaders need to tackle fear and skepticism head-on by embedding AI into daily work, aligning incentives, and showing real-life success stories that build trust and enthusiasm across every function.More Highlights from this Episode:[01:31] Why Life Sciences Needs Cross-Functional Talent[34:02] The AI Every Consultant Wishes For[42:43] The One Thing AI Can’t ReplaceIf your business is investing in AI but struggling to see real impact, this episode is for you. Discover the hard lessons, the breakthroughs, and the strategies that separate AI success from failure.If you enjoyed this episode, make sure to subscribe, rate, and review it on Apple Podcasts, Spotify, and YouTube Podcasts.Episode Resources:Neha Mongia on LinkedInKorn Ferry WebsiteAdvising the Advisors: AI Consulting Unlocked is handcrafted by our friends over at: fame.so.
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Governance Beats Gadgets — L.E.K. Consulting’s Adamantia Velonis on Getting Enterprise AI Right at Scale
Jul 1, 202500:21:32Tap to summarizeIn this episode of Advising the Advisors: AI in Consulting Unlocked, host Bolu Ben-Adeola sits down with Adamantia Velonis, Director of IT Strategy & Communications at L.E.K. Consulting, to unpack why most AI programs fail to scale and what organizations must do differently to drive meaningful results.Rather than focusing on tools or trends, Adamantia shares how to build the infrastructure, governance, and culture needed to translate AI pilots into enterprise value. From failed adoption cycles to change fatigue, she outlines the real blockers that stall transformation and how to navigate them with strategy, alignment, and execution.What You’ll Learn:Why “successful pilot” doesn’t mean scalable solution and how to tell the differenceHow lack of alignment between innovation teams and business strategy kills momentumThe critical role of use case cataloguing in managing risk, ensuring governance, and driving resultsWhy AI change management must be continuous, not one-offA real-world example of governance boosting proposal win rates by 10–12%How organizations can shift from chasing tools to rethinking entire workflows with AIAdamantia Velonis is the Director of IT Strategy & Communications at L.E.K. Consulting, where she leads enterprise-wide transformation initiatives at the intersection of technology, law, and regulation. As an Australian-qualified lawyer with deep expertise in AI governance, change management, and IT strategy, she helps global firms adopt emerging technologies responsibly and at scale. Adamantia has designed AI governance frameworks, led regulatory readiness programs for the EU AI Act, and implemented risk-based assessment models to align innovation with compliance. Her work focuses on bridging business priorities with tech execution, ensuring that digital transformation doesn’t just move fast, but moves right.Highlights:[02:20] AI Strategy Is the Wrong QuestionMany organizations are obsessed with building an "AI strategy" but Adamantia reframes the question entirely. Instead of starting with tools or pilots, she urges leaders to ask, “How do we stay competitive in 2025 and beyond?” She explains why pilot success often leads to false confidence, and how enterprises confuse experimentation with transformation. If AI investments don’t connect to fundamental shifts in how you operate and deliver value, they’re unlikely to scale.[10:09] Use Cases Are StrategyOne of the most overlooked, high-leverage activities in enterprise AI adoption is simply cataloguing use cases. Adamantia outlines how this practice not only surfaces innovation opportunities but also reveals blind spots in governance, risk management, and strategic alignment. Without visibility into how AI is being used, leadership can't measure impact, manage risk, or make informed decisions. Documenting use cases isn't busywork, it's foundational to scaling responsibly.[15:58] Good Governance Equals Higher Win RatesGovernance is often seen as a blocker to innovation, but Adamantia flips that narrative. She shares a case study of an organization that, after developing a rigorous AI governance model, improved proposal acceptance rates by 10–12%. By aligning AI use with clear risk controls and leadership buy-in, they created space to double down on what was working. The result wasn’t just more output — it was better business outcomes.[[19:00] What Hasn’t ChangedAI can accelerate content production, automate research, and unlock insights, but it doesn’t replace human judgment. Adamantia argues that asking the right questions, managing stakeholders, and navigating ambiguity remain irreplaceable skills. In fact, AI may raise the stakes by amplifying poor thinking if leaders aren’t careful. For consultants, it’s still your mindset, not just your toolset, that drives long-term value.More Highlights from this Episode:[06:50] Build vs. Buy - And the Hidden Costs of DIY AI[12:54] Transformation is a Continuous MuscleIf your business is investing in AI but struggling to see real impact, this episode is for you. Discover the hard lessons, the breakthroughs, and the strategies that separate AI success from failure.If you enjoyed this episode, make sure to subscribe, rate, and review it on Apple Podcasts, Spotify, and YouTube Podcasts.Episode Resources:Adamantia Velonis on LinkedInL.E.K. Consulting WebsiteAdvising the Advisors: AI Consulting Unlocked is handcrafted by our friends over at: fame.so.
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Chatbots Aren’t a Competitive Strategy — Alvarez & Marsal’s Dr. Michael Eiden on How Causal AI Unlocks ROI
Jun 10, 202500:23:47Tap to summarizeIn this episode of Advising the Advisors: AI in Consulting Unlocked, host Bolu Ben-Adeola sits down with Dr. Michael Eiden, Managing Director at Alvarez & Marsal, to explore how consulting firms are evolving their AI practices beyond basic automation to deliver transformative value through sophisticated AI implementations and causal reasoning technologies.What You’ll Learn:How to move beyond basic chatbots to create domain-specific AI solutions that deliver measurable business valueWhy traditional data architectures are limiting AI adoptionThe strategic advantage of coupling language models with knowledge graphs for domain-specific applicationsHow causal AI models enable superior decision-making compared to traditional machine learning approachesWhy data sovereignty and infrastructure modernization are critical for successful enterprise AI implementationDr. Michael Eiden is Managing Director at Alvarez & Marsal, where he leads their Artificial Intelligence and Machine Learning practice. With vast experience in AI implementation and corporate transformation, he specializes in helping organizations adopt AI technologies effectively across their operations. As a leader of a 100-person digital team that has grown from inception over just three years, Dr. Eiden brings both technical expertise and practical operational experience to digital transformation initiatives. His work spans from advising major household brands to private equity portfolio companies, focusing on outcome-driven AI adoption and causal AI technologies.Episode Highlights:[00:50] From Turnarounds to AI TransformationTo unlock real business value from AI, organizations must rethink their foundations, not just add new tools. Most companies still operate with fragmented data systems not built for an AI-first world. True transformation requires a shift to unified, governance-ready data architectures that break down silos and allow real-time insights across the business.[16:46] Why Causal AI Beats ChatGPT in Critical DecisionsInstead of relying on large language models, Dr. Eiden explains how casual models, built using expert insights and causal graphs, help teams map out complex problems before writing a single line of code. These models prioritize real-world domain knowledge, handle incomplete data more gracefully, and don't require massive computing power. While still a niche approach, they offer clear advantages in high-stakes scenarios where traceability, reasoning, and human decision-making matter most.More Highlights from this Episode:[10:25] Beyond Generic Chatbots[19:42] Argumentative AIIf your business is investing in AI but struggling to see real impact, this episode is for you. Discover the hard lessons, the breakthroughs, and the strategies that separate AI success from failure.If you enjoyed this episode, make sure to subscribe, rate, and review it on Apple Podcasts, Spotify, and YouTube Podcasts.Episode Resources:Dr. Michael Eiden on LinkedInAlvarez & Marsal WebsiteAdvising the Advisors: AI Consulting Unlocked is handcrafted by our friends over at: fame.so.
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Why Most AI Projects Fail — McKinsey's Tey Bannerman on Trust, Design & Adoption
May 27, 202500:14:12Tap to summarizeMost AI tools fail — not because of bad tech, but because no one uses them.In this episode of Advising the Advisors, McKinsey’s Tey Bannerman reveals why AI adoption requires 5x more investment than development — and how design thinking drives real transformation in enterprise AI.What You’ll Learn:Why successful AI implementation requires 5x more investment in adoption than technologyHow to blend human-centered design with AI strategy to ensure solutions actually get usedThe framework for building trust in AI tools through user feedback loops and internal evangelismWhy boards need to shift from viewing AI as a technical initiative to a business transformation opportunityHow consulting firms are evolving from project-based work to AI-powered continuous partnershipsTey Bannerman is a Partner at McKinsey & Company and Head of McKinsey Design Europe, specializing in the intersection of AI implementation and human-centered design. With a background in computer science, economics, and design, he leads cross-functional teams helping large organizations successfully scale AI solutions across banking, retail, and fintech sectors. Tey brings a unique triple-threat perspective, combining business strategy, technical expertise, and user-centered design, to help enterprises navigate AI adoption and digital transformation.Episode Highlights:[05:30] Why Design Needs to Lead AI StrategyTo build successful, scalable AI solutions, start with human needs, not just technology. Tey highlights that cross-functional teams are essential, but the design lens plays a critical role from the very beginning. It's about asking where people need help. Understanding user needs first and combining that with what's technically possible and viable for the business helps to ensure that what you build gets adopted and delivers real value.[11:44] Why 5x Your AI Budget Should Go to AdoptionMost tech projects fail not because the tools don't work, but because people don't use them. To drive adoption, you need more than just dashboards and predictive models; you need people, programs, and trust. That means investing in UX researchers, building feedback loops into the product, showing users how the tool helps them day-to-day, and socializing wins across the team. When adoption becomes part of the build, not an afterthought, you create something people want to use, not just something they could use.[21:32] A Designer at the Top of ConsultingDesigners have a vital and growing role in management consulting, but it's still rare to see them in senior positions. Tey's journey at McKinsey shows how bringing together design, tech, and business fluency can reshape how consulting firms build value for clients. Starting from human needs, designers can drive a deeper, more relevant impact. But to do that, they need a seat at the table.More Highlights from this Episode:[03:53] Building AI for Humans, Not Hype[08:19] Why AI Should Feel “Boring”[19:53] AI Is Not an IT Project[27:06] How AI Is Reshaping the Consulting ModelIf your business is investing in AI but struggling to see real impact, this episode is for you. Discover the hard lessons, the breakthroughs, and the strategies that separate AI success from failure.If you enjoyed this episode, make sure to subscribe, rate, and review it on Apple Podcasts, Spotify, and YouTube Podcasts.Episode Resources:Tey Bannerman on LinkedInMcKinsey & Company WebsiteAdvising the Advisors: AI Consulting Unlocked is handcrafted by our friends over at: fame.so.
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AI Isn't a Magic Bullet — Alvarez & Marsal’s Raf Postepski on Why Adoption Matters More Than Tech
May 13, 202500:23:30Tap to summarizeIn this episode of Advising the Advisors: AI in Consulting Unlocked, host Bolu Ben-Adeola sits down with Raf Postepski, Senior Director of Artificial Intelligence and Machine Learning at Alvarez & Marsal, to navigate how legacy organizations can effectively implement AI, the balance between industry-specific and general AI solutions, and the evolution of consulting in an AI-driven world.What You’ll Learn:How to move beyond AI pilot projects by building clear organizational vision and operational frameworksWhy the “top-down meets bottom-up” approach is crucial for successful enterprise AI adoptionThe principle of "build for competitive advantage, buy for parity" in AI implementationHow to avoid tool sprawl by creating cohesive AI experiences across organizationsWhy industry-specific AI may be less crucial than effective process codification and data strategyWith vast experience helping Fortune 500 companies move beyond pilot projects, Raf has built a career transforming how businesses operationalize AI at every level. His journey from designing operating models to leading AI initiatives has positioned him at the forefront of organizational transformation. Drawing from his background in banking and operational implementation, Raf brings a unique perspective that combines strategic insight with practical execution expertise.Episode Highlights:[03:33] How Smart AI Boosts Quality, Consistency, and RevenueAI isn't just about cutting costs; it's about raising the bar on quality, consistency, and growth. While AI can reduce headcount in repetitive tasks, the real value lies in how it's orchestrated across business processes: integrating with data, aligning with workflows, and enhancing customer interactions. When used smartly, AI empowers teams to upsell, personalize, and deliver consistent brand messaging, all while increasing productivity and revenue potential.[08:18] Overcoming AI Adoption ChallengesOne of the biggest reasons AI fails to gain traction in large organizations is the lack of a clear, unified vision. Without a top-down strategy that defines what AI is for, why it matters, and how it should be used, teams end up operating silos, tools multiply, and confusion spreads. To drive real adoption and ROI, leaders need to embed AI into the organization's core operating model, align messaging across every layer, and create a shared ecosystem.[14:37] Does Every Industry Need Specialized AI?You don't need a custom AI for every industry. What really matters is codifying your business's unique processes, data, and know-how. Generic models are powerful enough if you clearly define what you want them to do and feed them in the right context. So, instead of building niche tools from scratch, focus on capturing your competitive edge and training AI to work with that. Build for what makes you special; buy for everything else.More Highlights from this Episode:[01:05] AI Confusion in Legacy Companies[19:55] When to Build or Buy AI[27:15] Advice for Young ConsultantsIf your business is investing in AI but struggling to see real impact, this episode is for you. Discover the hard lessons, the breakthroughs, and the strategies that separate AI success from failure.If you enjoyed this episode, make sure to subscribe, rate, and review it on Apple Podcasts, Spotify, and YouTube Podcasts.Episode Resources:Raf Postepski on LinkedInAlvarez & Marsal WebsiteAdvising the Advisors: AI Consulting Unlocked is handcrafted by our friends over at: fame.so.
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Stop Chasing Quick Wins — EY’s Jeeva Pradeep Kumar Moni on Building AI Foundations That Last
Apr 22, 202500:39:29Tap to summarizeIn this episode of Advising the Advisors: AI in Consulting Unlocked, host Bolu Ben-Adeola sits down with Jeeva Pradeep Kumar Moni, Equity Partner at EY and AI Risk Lead for Europe, to explore the evolving landscape of financial crime compliance, the strategic implementation of generative AI, and why scaling AI goes far beyond technical infrastructure.What You’ll Learn:How to navigate the $2-3 trillion challenge of global financial crime Why scaling AI requires focusing beyond infrastructure to regulatory, jurisdictional, and analytical dimensionsThe "Use Case War" framework for building long-term AI adoptionHow consulting teams are evolving from single-skill projects to cross-functional expertiseHow to balance systematic delivery automation with strategic leadership in early-career consultingWith over a decade of experience building AI-powered solutions, including six years at Barclays as Head of Technology, Jeeva has helped major organizations balance trust, technology, and transformation in their operations. His unique perspective on scaling AI solutions across different jurisdictions and his emphasis on building strong client relationships while navigating technological change make this conversation particularly valuable for consulting leaders looking to implement AI solutions effectively.Episode Highlights:[04:06] How GenAI Is Both Preventing and Enabling Financial Crime[11:48] Winning the Use-Case War[15:35] Consultant’s Role in the AI AgeEpisode Resources:Jeeva Pradeep Kumar Moni on LinkedInEY WebsiteAdvising the Advisors: AI Consulting Unlocked is handcrafted by our friends over at: fame.so.
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First Movers with Gen AI Will Win — Bain’s Mukarram Bhaiji on AI Strategy and Consulting
Apr 9, 202500:20:24Tap to summarizeIn this episode of Advising the Advisors: AI in Consulting Unlocked, host Bolu Ben-Adeola sits down with Mukarram Bhaiji, Partner at Bain & Company, to dive into why many companies get stuck automating outdated processes rather than strategically rethinking them with AI. He explains the essential elements of successful AI adoption and shares insights on how Gen AI is reshaping consulting.What You’ll Learn:How to transition from cost-plus to value-based pricing using AI-driven insightsWhy organizational readiness is crucial for scaling AI beyond proof-of-concept stagesHow to build connected AI use cases that drive transformative business outcomesWhy the core consulting value proposition remains unchanged despite AI automationHow to use AI proactively for identifying business opportunities and market insightsMukarram is a Partner at Bain & Company, specializing in AI-powered pricing strategies and business model innovation. With vast experience across multiple sectors, including technology, consumer products, and industrial goods, he brings unique insights into value-based pricing and AI implementation in consulting. Mukarram has developed particular expertise in helping organizations transition from traditional cost-plus pricing models to more sophisticated, value-oriented approaches enhanced by AI.Episode Highlights:Why Pricing Power Is the Last Great Business AdvantagePricing isn't just about numbers; it's about understanding human behavior and where you have leverage. When you're selling simple, commoditized products, buyers have lots of options and more power. But as complexity and specialization increase, so does your pricing power because fewer alternatives exist. Recognize where you sit on that spectrum and use pricing to build long-term, sustainable relationships.How Companies Are Turning AI Into a Revenue EngineAI is evolving from simply saving time to actually driving action. At first, companies used AI to cut down admin tasks and make teams more productive. But now, with smarter models and agentic tools, AI is starting to augment expertise, helping sales teams generate leads, match solutions to customer needs, and even guide conversations in real-time.Consulting in the AI EraAI hasn't changed the core of consulting. It's still about people, relationships, and solving complex problems with strategic thinking. What has changed is how quickly we can get to the fact base; what used to take hours of manual work is now faster thanks to AI, giving consultants more time to focus on the real value.More Highlights from this Episode:[05:14] What Alan Turing Would Say About AI Today[13:05] Why Most AI Projects Fail[36:55] Why the Best Consultants Still Grind Despite AIIf your business is investing in AI but struggling to see real impact, this episode is for you. Discover the hard lessons, the breakthroughs, and the strategies that separate AI success from failure.If you enjoyed this episode, make sure to subscribe, rate, and review it on Apple Podcasts, Spotify, and YouTube Podcasts.Episode Resources:Mukarram Bhaiji on LinkedInBain & Company WebsiteKenley LinkedInKenley websiteAdvising the Advisors: AI Consulting Unlocked is handcrafted by our friends over at: fame.so.
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The AI Playbook for CX Strategy— BCG's Nick Clark on How AI Is Solving Customer Experience
Mar 26, 202500:28:34Tap to summarizeIn this episode of Advising the Advisors: AI in Consulting Unlocked, host Bolu Ben-Adeola sits down with Nick Clark, Partner at BCG, to explore the evolving landscape of AI-powered customer experience.Join them as they:Explore how AI is reshaping the traditional cost-center perception of customer service into a strategic value driverExamine the evolution of T-shaped" service roles, where AI enables agents to be both generalists and specialistsDiscuss three emerging roles in AI-powered customer serviceDelve into the 10-20-70 framework for AI implementationHighlight the Jevons paradox in customer service.Nick is a leader in customer service strategy and transformation, bringing over two decades of experience in revolutionizing customer experience operations. With a unique background that spans from frontline call center operations to transformation director at TalkTalk during its explosive growth phase, Nick has helped over 80 organizations reimagine their customer service models through AI integration, agile methodologies, and digital innovation.Episode Highlights:Why Your AI CX Strategy Might Be FailingMany companies approach AI in customer service as a cost-cutting tool rather than a strategic enabler. The result? Frustrated customers, limited adoption, and minimal ROI. The companies winning with AI focus on customer effort, proactive support, and AI-human collaboration.The New AI-Powered Roles in Customer ServiceAI isn't just changing customer interaction; it's reshaping entire roles within CX teams. Ensure AI has structured, machine-readable information. Oversee bot behavior, monitor costs, and refine AI-generated responses. Design seamless AI-human customer journeys across multiple channels. Companies that fail to evolve their workforce will struggle to see lasting AI impact.How AI Is Fixing a Decades-Old CX ProblemFor years, companies forced human agents to act like robots: reading from scripts, following rigid workflows, and optimizing for speed over experience. AI is flipping this model. AI-powered assistants help agents make better and faster decisions. Bots handle routine requests, freeing humans for complex, high-value interactions. Organizations embed CX across their entire operations.More Highlights from this Episode:[12:45] The Three New Roles AI Is Creating in CX Teams[27:51] BCG’s 10-20-70 Rule[40:07] What CX Will Look Like in 2030[59:18] How AI is Changing Consulting at BCGIf your business is investing in AI but struggling to see real impact, this episode is for you. Discover the hard lessons, the breakthroughs, and the strategies that separate AI success from failure.If you enjoyed this episode, make sure to subscribe, rate, and review it on Apple Podcasts, Spotify, and YouTube Podcasts.Episode Resources:Nick Clark on LinkedInBoston Consulting Group (BCG) WebsiteKenley LinkedInKenley websiteAdvising the Advisors: AI Consulting Unlocked is handcrafted by our friends over at: fame.so.
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Why AI Won’t Replace Consultants—Kearney’s Benjamin Glatz on The Future of AI in Consulting
Mar 12, 202500:29:04Tap to summarizeIn this episode of Advising the Advisors: AI in Consulting Unlocked, host Bolu Ben-Adeola welcomes Benjamin Glatz, Partner at Kearney, specializing in digital transformation and commercial strategy. Join them as they:Delve into AI's transformative role in consulting, exploring how firms can move beyond pilots to create lasting business impactExplain why human expertise remains crucial in consulting despite AI advancement, with emphasis on the "essential rightness" principle in advisory workDiscuss the evolution of the consulting pyramid structure as AI tools democratize knowledge access and augment junior consultants' capabilitiesExamine the future of healthcare and life sciences, particularly how AI could revolutionize drug discovery and enable precision medicineHighlight key success factors for scaling AI initiatives, including the importance of clear strategic focus and avoiding siloed implementationsConsider the unique challenges and opportunities for consulting firms building internal AI capabilities versus partnering with external providersExplore how AI is reshaping client expectations and consulting deliverables, while emphasizing the enduring importance of human judgment and relationship buildingBenjamin Glatz is a Partner at Kearney, specializing in digital transformation and commercial strategy in the life sciences sector. With over fifteen years of experience across industries including energy, retail, and life sciences, he guides global companies through digital disruption and AI adoption. In this episode, Ben shares deep insights on scaling AI initiatives beyond pilots, particularly in life sciences and pharmaceutical companies, where he helps organizations build innovative customer engagement models and leverage AI-driven insights for sustainable growth. His unique perspective bridges traditional consulting expertise with practical implementation experience, having worked both as a consultant and in-house transformation leader at major corporations like Shell. Ben's work at Kearney focuses on helping organizations move from AI experimentation to scalable, value-driving solutions while navigating complex regulatory environments and emerging technological capabilities.If you enjoyed this episode, make sure to subscribe, rate, and review it on Apple Podcasts, Spotify, and YouTube Podcasts. Episode Highlights:[05:57] Balancing Top-Down Strategy with Bottom-Up Innovation in AI Implementation[08:14] Transforming Core Consulting Capabilities with AI Augmentation[13:00] Rethinking Talent Development in an AI-Enhanced Consulting Model[18:26] Maintaining the Human Element in AI-Enabled Consulting[23:48] Creating Value Through Custom AI Models for Industry ExpertiseEpisode Resources:Bolu Ben-Adeola LinkedInBen Glatz on LinkedInKenley LinkedInKearney WebsiteAdvising the Advisors: AI Consulting Unlocked is handcrafted by our friends over at: fame.so.
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Why Your Enterprise AI Pilots Are Failing—BCG's Juan Martin on Going from Pilot to Scale
Feb 26, 202500:31:24Tap to summarizeIn our first episode of Advising the Advisors podcast, host Bolu Ben-Adeola is joined by Juan Martin, Head of Deep Gen AI at Boston Consulting Group and part-time professor at the University of Pennsylvania.Join them as they:Delve into how Gen AI has become more democratic and accessibleExplain why companies should focus on programs rather than isolated pilotsTalk about the surprising depreciation of Gen AI costs (98% in one year)Examine the implications of customer-facing AI solutions vs. human-in-the-loop approachesShine a light on how BCG transformed a call center operation, increasing sales conversion by 28%Consider what skills and organizational structures will thrive in an AI-driven futureDiscuss how BPOs and financial services are creating "digital native" divisions to prepare for AI transformationJuan Martin is the Head of Deep Gen AI at Boston Consulting Group, a global consulting firm. On top of that, Juan is also a part-time professor at the University of Pennsylvania, and was previously a tech startup founder in the NLP space with over 14 years of industry experience.If you enjoyed this episode, make sure to subscribe, rate, and review it on Apple Podcasts, Spotify, and YouTube Podcasts. Instructions on how to do this are here.Episode Highlights:[00:00:05] Gen AI: The Most Rapidly Depreciating Technology[00:05:51] Why AI Pilots Fail: Three Critical Misconceptions[00:11:38] The Future of Customer Experience: Humans vs. Bots[00:32:30] Real Results: How AI Boosted Call Center Sales by 28%[00:35:48] Digital Native Companies: The New Business ModelEpisode Resources:Boston Consulting Group WebsiteBolu Ben-Adeola LinkedInJuan Martin on LinkedInKenley LinkedInCallSight AI ToolAdvising the Advisors: AI Consulting Unlocked is handcrafted by our friends over at: fame.so.
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