Transform NOW

In this episode, Transform NOW co-hosts Brad Hairston and Michael Marchuk banter about some interesting recent news headlines in the world of automation and AI. News stories covered in this episode:.Trump Signs Executive Order Seeking Oversight of A.I. Models https://www.nytimes.com/2026/06/02/technology/trump-executive-order-ai.html .Meta workers can opt out of being tracked at work - but only for half an hour at a time https://www.bbc.com/news/articles/c93x0k194yno .Owning The Mind: Is That What Anthropic, OpenAI And Private Equity Are Up To? https://www.forbes.com/sites/johnsviokla/2026/06/02/owning-the-mind-is-that-what-anthropic-openai-and-private-equity-are-up-to/ .ChatGPT can now see your bank account. Is it worth the risk? - https://www.yahoo.com/finance/personal-finance/banking/article/chatgpt-can-now-see-your-bank-account-is-it-worth-the-risk-141555728.html .Perplexity CEO tells CNBC one metric will determine who wins the AI race https://www.cnbc.com/2026/06/03/perplexity-ceo-ai-valuations-computer-agentic.html .How to Tell if Google Chrome Secretly Downloaded a 4GB AI Model to Your Device - https://www.cnet.com/tech/services-and-software/if-you-use-google-chrome-your-device-may-have-secretly-downloaded-a-4gb-ai-model/ .Visit us on our socials:🦾 Get started with SS&C Blue Prism: https://okt.to/JcMLdU🧑‍💻LinkedIn: https://okt.to/k8zIdp✖️Twitter: https://okt.to/fHyd9G🙋‍♀️Facebook: https://okt.to/Vyjfiz📸Instagram: https://okt.to/5nYvIf💭Blog: https://okt.to/QuGqVP🤩Case studies: https://okt.to/ft1AMX.To ensure that you never miss an episode of Transform NOW, be sure to subscribe!

In this episode, host Michael Marchuk speaks with Tim Shea, founder and CEO of Latticework Insights, about what it takes to build an enterprise-grade agentic AI program that delivers measurable value. Shea explains that while LLMs are powerful, hallucinations, non-determinism, and high-stakes risk make many agentic initiatives fail without human checks, clear leadership, and strong operating models. He outlines how to decide when a use case truly needs agentic AI versus deterministic automation, using an analytics workflow (extraction, modeling, interpretation, evaluation) to show where agents help most. Shea shares a restaurant-chain example where an agent rapidly replicated unit tests across pipelines to improve data quality and executive confidence. He warns against rushing, token-burning for its own sake, and losing focus on business outcomes, emphasizing upskilling and domain expertise as key differentiators over the next 12–18 months.

What we talked to Tim about:

-What Agentic AI Means

-Why AI Fails in Production

-When You Need Agents

-Agent Roles in Analytics

-Managing Agent Swarms

-Org Design and Upskilling

-Measuring Real Outcomes

-Common Adoption Mistakes

-Workflow Shifts and Tools

-High Stakes Industries Limits

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In this episode, Transform NOW co-hosts Brad Hairston and Michael Marchuk banter about some interesting recent news headlines in the world of automation and AI.

News stories covered in this episode:

• Altman and Amodei Walk Back AI Job Apocalypse Warnings Ahead of Trillion-Dollar IPOs https://mlq.ai/news/altman-and-amodei-walk-back-ai-job-apocalypse-warnings-ahead-of-trillion-dollar-ipos/

• Microsoft AI chief gives it 18 months—for all white-collar work to be automated by AI https://fortune.com/article/why-microsoft-ai-chief-mustafa-suleyman-predicts-ai-automation-18-months/

• Why Human Agency Matters for Quantum AI https://knowledge.wharton.upenn.edu/article/why-human-agency-matters-for-quantum-ai/

• 4 Things To Know As OpenAI Eyes IPO https://www.forbes.com/sites/investor-hub/article/openai-ipo-things-to-know/

• Illinois lawmakers pass landmark artificial intelligence accountability bill https://www.cbsnews.com/chicago/news/illinois-lawmakers-pass-landmark-artificial-intelligence-accountability-bill/

• Plots, love letters and remedies: The medieval secrets being revealed by AI https://www.bbc.com/future/article/20260527-plots-love-letters-and-diplomacy-the-medieval-secrets-being-revealed-by-ai

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In this episode of the Transform NOW podcast, host Michael Marchuk hosts Rob May, CEO of Neurometric and co-host of the AI in NYC podcast, discussing practical AI deployment beyond hype. Rob explains Neurometric’s focus on small language models and inference optimization, helping companies move high-volume tasks off frontier models to task-specific endpoints to reduce latency and cost. He explores whether enterprises should stay model-agnostic versus aligning with a vendor for guardrails, culture, and data considerations, and how agentic workflows may soon choose models dynamically, with risks around constraints, availability, and stability. Rob covers model deprecation, data/model drift, and why legacy models may persist via third-party hosting. Key AI KPIs include accuracy, latency, and cost; token-usage metrics are criticized. For regulated workflows like KYC and fraud, he stresses human oversight and alerting. They also discuss governance tradeoffs, startup vs incumbent advantages, quantization and other inference cost tactics, and ongoing chip innovation driving edge AI and potential data center opportunities.

-Small Language Models

-Model Moats and Vendor Choice

-Agents Routing to Models

-Failures, Drift, and Legacy Models

-Executive KPIs for AI

-Bottlenecks in Regulated Workflows

-Minimum Viable Governance

-Big Firms vs Startups Strategy

-Future Hardware and Edge AI

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In this episode, Transform NOW co-hosts Brad Hairston and Michael Marchuk banter about some interesting recent news headlines in the world of automation and AI. .News stories covered in this episode:.Elon Musk loses lawsuit against OpenAI - https://www.usatoday.com/story/tech/2026/05/18/elon-musk-loses-lawsuit-openai/90145826007/ .81% of Enterprise Technology Leaders Report Production Failures from AI-Generated Codehttps://markets.businessinsider.com/news/stocks/81-of-enterprise-technology-leaders-report-production-failures-from-ai-generated-code-new-research-shows-1036175180 .Three-quarters of AI’s economic gains are being captured by just 20% of companies – with the leading companies focused on growth, not just productivityhttps://www.pwc.com/gx/en/news-room/press-releases/2026/pwc-2026-ai-performance-study.html .‘Lower-value human capital’ is what bank CEO calls thousands of workers he’s cutting because of AIhttps://www.marketwatch.com/story/ai-in-focus-as-standard-chartered-bank-replaces-lower-value-human-capital-slashing-back-office-workers-by-15-bd147174 .Bain sees US$100 billion SaaS market in agentic AI automation - https://www.artificialintelligence-news.com/news/bain-agentic-ai-saas-market/.Pope Leo to issue text on human dignity and AI with Anthropic co-founder - https://www.theguardian.com/world/2026/may/18/pope-leo-encyclical-human-dignity-ai-anthropic.Visit us on our socials:🦾 Get started with SS&C Blue Prism: https://okt.to/JcMLdU🧑‍💻LinkedIn: https://okt.to/k8zIdp✖️Twitter: https://okt.to/fHyd9G🙋‍♀️Facebook: https://okt.to/Vyjfiz📸Instagram: https://okt.to/5nYvIf💭Blog: https://okt.to/QuGqVP🤩Case studies: https://okt.to/ft1AMX.To ensure that you never miss an episode of Transform NOW, be sure to subscribe!

In this episode, Brad Hairston talks with Brian Evergreen, AI expert/advisor and the author of the book Autonomous Transformation. Brian was named by Forbes as one of the Top 30 Thinkers Redefining Leadership in 2025 and by Edelman as one of the Top 50 AI Creators to know. Brian explains how leaders who stop trying to solve today's problems and start designing tomorrow's future will be the ones who unlock AI's true transformative potential.

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What we talked with Brian about:

* The analog → digital → autonomous transformation continuum

* Reformation vs. transformation — improving without changing structure vs. fundamentally rethinking value delivery

* Future solving vs. problem solving — high-agency vision building vs. elimination-focused thinking

* Pilot purgatory — why AI initiatives stall and the "steamroller" solution

* The role of leadership alignment in overcoming organizational friction

* Vision-first vs. use case-first AI strategy

* The ROI pressure trap and the Netflix/Blockbuster paradigm shift analogy

* Profitable good — the spectrum between greed and altruism and AI's role in enabling it

* The screenless future and human-based services with AI as middleware

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In this episode, Transform NOW co-hosts Brad Hairston and Michael Marchuk banter about some interesting recent news headlines in the world of automation and AI.

News stories covered in this episode:

• SAP Is Blocking AI Agents. Salesforce Is Welcoming Them. One of These Strategies Will Win. https://www.mindstudio.ai/blog/sap-blocking-ai-agents-vs-salesforce-mcp-first-strategy

• Companies name AI as top reason for job cuts for second straight month: Analysis https://thehill.com/policy/technology/5870898-ai-job-cuts-analysis-trump-admin/

• AI Automation ROI: The Hidden Costs Enterprises Miss https://www.cxtoday.com/ai-automation-in-cx/ai-automation-roi-the-hidden-costs-enterprises-miss/

• European wealth managers hit back after fears AI will make them obsolete - https://www.ft.com/content/5ee15149-3403-4cba-b67d-06af66ca9012?syn-25a6b1a6=1

• Elon Musk Announces xAI Will Become SpaceXAI Division https://www.notateslaapp.com/news/4116/elon-musk-announces-xai-will-dissolve-form-spacexai-subdivision

• Agentic AI: More Human Than Automation https://www.forbes.com/councils/forbestechcouncil/2026/05/12/agentic-ai-more-human-than-automation/

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In this episode, host Michael Marchuk talks with Bryce Carpenter about how AI is transforming manufacturing roles well beyond robots on the shop floor. Bryce discusses how AI and other digital technologies are key to improving productivity per worker and making it economically viable to bring production back without lowering American wages. With Indiana’s population expected to be flat or declining and growth concentrated among retirees, the state cannot rely on an influx of new workers. Instead, it must leverage automation, robots, cobots, and AI to make each worker in advanced manufacturing and logistics far more productive than foreign counterparts, enabling Indiana to compete on output and economics.

-AI Productivity Boost

-No Wage Cuts Needed

-Population Reality

-Automation to Compete

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In this episode, Transform NOW co-hosts Brad Hairston and Michael Marchuk banter about some interesting recent news headlines in the world of automation and AI. .News stories covered in this episode:.As AI pushes students to reconsider majors, universities struggle to adapthttps://www.yahoo.com/news/articles/ai-pushes-students-reconsider-majors-100000151.html .An amateur just solved a 60-year-old math problem—by asking AI https://www.scientificamerican.com/article/amateur-armed-with-chatgpt-vibe-maths-a-60-year-old-problem .‘The cost of compute is far beyond the costs of the employees’: Nvidia executive says right now AI is more expensive than paying human workers https://finance.yahoo.com/sectors/technology/articles/cost-compute-far-beyond-costs-071100797.html .Chinese Court Rules That a Worker Cannot Be Replaced by AI https://futurism.com/artificial-intelligence/china-legal-ai-automation .Google is partnering with XPRIZE and Range Media Partners on the $3.5 million Future Vision film competition. https://blog.google/innovation-and-ai/technology/ai/future-vision-film-competition-xprize .New pet robot uses local multimodal AI to learn and adapt to human behavior https://interestingengineering.com/ai-robotics/familiar-robot-consumer-physical-ai-reveal .Visit us on our socials:🦾 Get started with SS&C Blue Prism: https://okt.to/JcMLdU🧑‍💻LinkedIn: https://okt.to/k8zIdp✖️Twitter: https://okt.to/fHyd9G🙋‍♀️Facebook: https://okt.to/Vyjfiz📸Instagram: https://okt.to/5nYvIf💭Blog: https://okt.to/QuGqVP🤩Case studies: https://okt.to/ft1AMX.To ensure that you never miss an episode of Transform NOW, be sure to subscribe!

In this episode, Brad Hairston talks with Vikash Jain, Managing Director and Senior Partner at Boston Consulting Group, who explains how agentic AI is expanding — not shrinking — the tech services market, while unpacking the gaps in productivity expectations, enterprise readiness, and commercial models that will define who wins and who gets left behind.

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What we talked with Vikash about:

* Agentic AI as a growth catalyst for tech services, not a compression force

* The wide distance between AI optimism at the C-suite and actual organizational adoption capacity

* Enterprises expecting 30–40% gains; service providers only willing to commit 6–15%

* Structural and contractual obstacles preventing true value/risk-sharing models

* Top-down AI urgency driven by CEOs and boards, outpacing middle-management engagement

* BFSI as the front-runner in agentic adoption, particularly in customer-facing and GRC applications

* Pure-play ops-heavy service providers with limited agility as the most vulnerable cohort

* Data, security, and AI-enabling infrastructure as the "shovels and picks" opportunity of this era

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BCG article discussed in this episode: https://www.bcg.com/publications/2026/the-200-billion-dollar-ai-opportunity-in-tech-services

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