AI Today Podcast

In this episode of AI Today, host Kathleen Walch welcomes Bryan McAnulty, founder of Latchloop and host of the Creators Adventure podcast. Bryan shares his entrepreneurial journey from design agency work to building SaaS products like Heights Platform, and now Latchloop, an AI agent platform designed to accelerate product development and collaboration. 
Kathleen and Bryan explore how AI is reshaping entrepreneurship, content creation, and community building. Bryan explains why execution is no longer the differentiator and how it’s unique ideas and human perspective now set creators apart. Communities, whether PMI’s global volunteer network or creator-driven platforms, remain the strongest moat in an era of abundant AI-generated content. 
They highlight how small businesses can adopt AI faster than large organizations, but caution against treating it as a simple checkbox. Bryan introduces a framework of automation loops, goal loops, and feedback loops to help teams rethink workflows and deliver better outcomes. Kathleen connects this to project management practices, stressing the importance of documenting processes and building scalable collaboration models. 
Key insights include: 
Learn how AI shifts value from execution to ideas, and why human perspective drives differentiation. 
Discover how authentic communities provide a moat in an AI‑saturated world. 
Understand how small businesses can move faster than large organizations to rethink customer outcomes. 
Explore how automation, goal, and feedback loops create effective AI collaboration. 
Recognize why documenting processes and SOPs are essential to harness AI agents successfully. 
Bryan concludes with optimism about the future of AI, predicting that individuals and organizations alike will soon solve problems once thought unimaginable.

In this episode of AI Today, host Kathleen Walch welcomes Jennifer Tharp, president of Mastodon Consulting, former PMI Board chair, PMI Fellow, and also PMP and PMI-CPMAI certified. Jennifer discusses how AI is transforming project management, not just as a tool but by reshaping the work itself. 
She highlights three forces as the new bottleneck: collapsed estimation, distributed authorship, and quality assurance. Traditional artifacts like Gantt charts and risk registers risk irrelevance, requiring project managers to evolve into decision governors who make choices visible, accountable, and aligned with organizational goals. 
Key insights include: 
Learn how AI makes delivery unpredictable and how PMs can adapt estimation practices. 
Discover how responsibility for AI‑driven decisions is moving, and how PMs can claim it to stay relevant. 
Grasp how human review lags behind machine speed, and how new QA approaches can close the gap. 
Explore how PMs move beyond artifacts to frameworks that make choices visible and auditable. 
Learn how skills such as critical thinking, judgment, and communication keep PMs indispensable in the AI age. 
Jennifer stresses that passive observers who do not embrace AI risk losing relevance and why PMs must claim accountability before it shifts elsewhere. She emphasizes that AI will soon be embedded in projects by default, but success depends on durable frameworks, rigorous governance, and enduring leadership to ensure ethical, measurable outcomes.

In this episode of AI Today, host Kathleen Walch welcomes Cheryl Howard, principal consultant at Howard Consulting, PMI standards volunteer, and PMI‑CPMAI certified. Cheryl shares how CPMAI’s structured, iterative framework, combining CRISP‑DM and Agile, helps organizations move beyond hype to deliver governed, human-centered AI outcomes.
She explains that AI project success starts with business understanding and clean, well-prepared data, not rushing into model development. Together, Kathleen and Cheryl highlight how CPMAI ensures ethical, explainable, and auditable outcomes, especially in regulated industries. Cheryl emphasizes enduring human skills such as critical thinking, governance, trust, and accountability are essential for project leaders navigating AI adoption.
Key insights include:
AI success requires data that is clean, accessible, and properly prepared.
Progress depends on clear accountability to prevent stalled pilots.
Leaders must ask not only what AI can do but whether it should be done at all.
Adoption fails when fatigue and overload outweigh readiness.
Confidence grows when stakeholders are involved early, and outputs are explainable.
Cheryl discusses how AI will soon be embedded in projects by default, but readiness requires durable frameworks like CPMAI and enduring human leadership to ensure measurable, ethical outcomes.

In this episode of AI Today, host Kathleen Walch welcomes Islam Tanas, who is a PMI Authorized Training Partner, founder of PASS‑PM Academy, an AI ambassador at PMI, and PMI-CPMAI certified. With 20+ years of experience, Islam enthusiastically shares how the CPMAI methodology reshaped his approach to AI projects, moving from traditional project management to structured, business‑first strategies. 
He explains that AI projects introduce unique challenges, such as data quality, model validation, ethics, bias, and governance, that demand a disciplined methodology. CPMAI helps project managers start with the business problem, ask the right questions, and validate outcomes before making technology decisions. A case study from his learning platform illustrates how AI can personalize exam preparation responsibly when guided by CPMAI. 
Key insights include: 
Understand AI limits: what it can and cannot do 
Update skills through practice and professional communities 
Avoid stalled pilots with governance and ownership 
Build confidence through transparency, not just accuracy 
Scale AI responsibly with project managers at the center 
Islam’s message is clear: AI is not magic—it’s a decision support system. Project managers remain essential in bridging business, data, and technology, ensuring AI delivers measurable outcomes.

Kathleen Walch welcomes Mouhsine Kabbaj, a seasoned Senior Program Manager with 25+ years in transformation, business process engineering, and AI integration. With PMP, PGMP, PFMP, and PMI-CPMAI certifications, Mouhsine passionately shares how CPMAI reshaped his approach to AI projects, moving beyond traditional software methods to a methodology built on business understanding, data quality, and iterative experimentation that unlock real business value.
He explains why AI projects require fresh mindsets: embracing uncertainty, fostering cross-functional collaboration, and shifting activity metrics to measurable outcomes. A vivid case study illustrates how an AI assistant reduced call center times by 40%, boosted advisor efficiency, and advanced organizational readiness for AI adoption.
You will gain insights on:
Why CPMAI matters — structuring AI initiatives to avoid costly failures
How to set expectations — starting with business problems, not technology hype
Shifting mindsets in the AI era — collaboration across disciplines, comfort with uncertainty, focus on value
Where AI is heading — seamless integration into daily work, with project managers at the center of transformation
Mouhsine also reflects on why many AI projects fail, how the CPMAI methodology helps organizations reset instead of waste resources, and why project managers must bridge business, data, and technology. Practical and inspiring, this episode is essential for project managers, AI practitioners, and leaders ready to turn AI hype into measurable value.