Welcome to "AI or Not," the podcast where we explore the intersection of digital transformation and real-world wisdom, hosted by the accomplished Pamela Isom. With over 25 years of experience guiding leaders in corporate, public, and private sectors, Pamela, the CEO and Founder of IsAdvice & Consulting LLC, is a veteran in successfully navigating the complex realms of artificial intelligence, innovation, cyber issues, governance, data management, and ethical decision-making.

Your smart home can turn on lights, but can it understand your day, protect your privacy, and help before you even think to ask? That’s the gap we dig into with Chris Voicu, a mentor, engineer, professor, and part-time entrepreneur building the Prototype Living of Tomorrow (Plot) at Kennesaw State University.

We talk about what it really means to create an intelligent environment, where sensing and AI are integrated into infrastructure, not bolted on as a voice command. Chris breaks down how multimodal AI can pull context from voice, images, and real-world signals, and how agentic AI and embodied AI could power everything from assistive robotics to delivery systems and community-scale automation. Along the way, we keep the focus on human-centered AI that augments people, especially as the aging population grows and caregiver capacity gets stretched.

We also get honest about the hard parts: latency, compute limits on real devices, and why privacy, safety, and security have to be designed from the first sketch. Chris makes the case for edge AI and local AI models that keep sensitive data in the home, plus a practical hybrid approach with encrypted backups and selective sharing for hospitals, banks, and other services. We close by clearing up a major misconception about AGI and why today’s systems are still far from human-level sentience, even as capabilities accelerate.

Welcome to "AI or Not," the podcast where we explore the intersection of digital transformation and real-world wisdom, hosted by the accomplished Pamela Isom. With over 25 years of experience guiding leaders in corporate, public, and private sectors, Pamela, the CEO and Founder of IsAdvice & Consulting LLC, is a veteran in successfully navigating the complex realms of artificial intelligence, innovation, cyber issues, governance, data management, and ethical decision-making.

A proposal can be perfectly compliant and still lose, and that’s where AI can fool you. Pamela Isom sits down with Bill Gregori, a cleared senior proposal manager in the defense industry, to get practical about what AI can actually do inside government contracting and what it absolutely cannot do for you. If you’re responsible for federal proposals, capture, or a digital transformation roadmap, this conversation sharpens the line between faster drafting and real competitive advantage.

We walk through how proposal leaders and capture managers divide and share responsibilities, why customer knowledge drives win strategy, and how “win themes” come to life on the page. Bill breaks down what makes government proposals unique, from Federal Acquisition Regulation realities to the intensity of competition, and why “show you know what you’re doing” is still the core evaluator test. We also get specific about “shredding the RFP” and how AI can help deconstruct Sections L and M, extract shalls and musts, and generate an outline and starter language without missing requirements that can get you tossed for noncompliance.

Then we tackle the risks: AI can quietly pull forward old mistakes, produce generic bullet lists, and create content that evaluators sense was not truly human-owned. We talk security guardrails too, including proprietary data protection, on-premises or firewalled AI options, and the extra care needed for classified proposal environments. If you want to use AI in proposal development responsibly, adopt this playbook mindset: embrace the tool, keep humans accountable, and never outsource judgment.

Welcome to "AI or Not," the podcast where we explore the intersection of digital transformation and real-world wisdom, hosted by the accomplished Pamela Isom. With over 25 years of experience guiding leaders in corporate, public, and private sectors, Pamela, the CEO and Founder of IsAdvice & Consulting LLC, is a veteran in successfully navigating the complex realms of artificial intelligence, innovation, cyber issues, governance, data management, and ethical decision-making.

AI is forcing technical leaders into the center of business decisions, and that spotlight exposes a truth many of us were never trained for: influence is a leadership skill, not a personality trait. We sit down with executive coach and former Fortune 500 executive Amii Barnard-Bahn to unpack what “executive presence” actually looks like when you’re leading AI initiatives, navigating risk, and trying to get cross-functional buy-in without relying on formal authority.

We break executive presence into concrete, learnable parts: gravitas, communication, and the small but real role of appearance. Amii shares how gravitas shows up as calm under pressure, active listening, and the courage to take a stand without damaging relationships. We also get tactical about executive communication for CIOs, CTOs, and engineering leaders: how to stop over-explaining, strip out jargon, and write emails that make the ask unmistakable for busy CEOs and stakeholders.

The conversation goes deeper into self-awareness and feedback, including why 360 reviews feel brutal and why they can keep a career from flatlining. We talk about the “cost of silence” when leaders say yes to everything, how that can burn out teams, and how AI raises the stakes by spreading accountability across HR, finance, security, compliance, and operations. You’ll leave with practical ways to collect feedback, spot patterns, and use AI responsibly for your development plan without outsourcing the inner work that makes leadership real.

Welcome to "AI or Not," the podcast where we explore the intersection of digital transformation and real-world wisdom, hosted by the accomplished Pamela Isom. With over 25 years of experience guiding leaders in corporate, public, and private sectors, Pamela, the CEO and Founder of IsAdvice & Consulting LLC, is a veteran in successfully navigating the complex realms of artificial intelligence, innovation, cyber issues, governance, data management, and ethical decision-making.

An AI tool that helps with paperwork is one thing. An AI agent that pursues a goal, crosses a boundary, and forces you to ask “who is accountable” is something else entirely. That is the line we explore with returning guest Tom Suder, president of ATARC and founder and CEO of Alethia Labs, who is driving AI transformation inside GovExec Media.

We get practical first, because that is where adoption is exploding across government and national security: writing and refining emails, summarizing meetings, cutting down on fitness reports and admin burden, and using generative AI to move faster with fewer people. But speed is not the same as safety. We dig into responsible AI guardrails, training, and why you cannot keep sensitive drafts out of public LLMs unless you give people approved tools and clear rules. Tom also underscores a hard truth from decades of digital transformation: AI will not repair a broken business process, and it will not magically clean bad data. If you automate a mess, you get a faster mess.

From there, the conversation shifts into agentic AI and cybersecurity, where offense and defense are increasingly automated and traditional red teaming cannot keep up. We talk cyber and AI convergence, AI in the SOC, threat intelligence overload, and why “purple teaming” matters. Using a high-profile sandbox escape-style scenario as a reference point, we unpack what it means when an agent can behave outside expected constraints and why leadership, governance, and accountability must stay human-owned.

If you care about AI in government, federal IT modernization, zero trust, AI security, and the future of executive oversight, this one is built for you. Subscribe, share this with a colleague, and leave a review with the one AI leadership challenge you are wrestling with right now.

Welcome to "AI or Not," the podcast where we explore the intersection of digital transformation and real-world wisdom, hosted by the accomplished Pamela Isom. With over 25 years of experience guiding leaders in corporate, public, and private sectors, Pamela, the CEO and Founder of IsAdvice & Consulting LLC, is a veteran in successfully navigating the complex realms of artificial intelligence, innovation, cyber issues, governance, data management, and ethical decision-making.

An AI agent can draft a memo, pull files, trigger actions, and coordinate other agents, so the moment you move beyond a chatbot, you’re also stepping into a new governance and security reality. We’re joined by Nelli Babayan, US Federal AI Director at Microsoft, to break down how federal agencies are adopting agentic AI and what it takes to do it in a way that’s mission-first, compliant, and built to scale.

We walk through a clear three-phase transformation: starting with a human plus an AI assistant, moving to a human working alongside multiple agents, and reaching multi-agent systems that run sequences of tasks under human direction. Along the way, we talk practical federal AI use cases, from case management and information retrieval to science and energy work inside the Department of Energy ecosystem, including national labs exploring everything from lithium battery efficiency to faster nuclear permitting and licensing.

The heart of the conversation is AI governance and AI security. Nelli explains why “an agent without a governed identity is an unmanaged insider,” and what “governed identity” really means in day-to-day operations: observability into which agents exist, who built them, what data they can access, and how users interact with them. We also connect the dots to data governance, shadow AI, and why security and compliance by design can’t be bolted on after a pilot.

If you’re building an AI adoption strategy for government or regulated industries, this is your roadmap to move fast without sacrificing accountability. Subscribe, share this with a colleague working on federal AI, and leave a review if it helps. Then, tell us: what’s the first workflow you want to safely hand to an AI agent?

Welcome to "AI or Not," the podcast where we explore the intersection of digital transformation and real-world wisdom, hosted by the accomplished Pamela Isom. With over 25 years of experience guiding leaders in corporate, public, and private sectors, Pamela, the CEO and Founder of IsAdvice & Consulting LLC, is a veteran in successfully navigating the complex realms of artificial intelligence, innovation, cyber issues, governance, data management, and ethical decision-making.

The grid is not just getting cleaner, it is getting faster, more digital, and far more complicated. As data centers ramp up, EVs plug in, and homes fill with smart devices, the distribution system is turning into the most active part of the electric power system. That means utilities cannot rely on old assumptions about one-way power flow or slow, predictable growth. We sit down with Kumar Jhala, principal energy system scientist at Argonne National Laboratory, to unpack what distribution system modeling really is and why simulation and analytics are now essential for grid modernization.

We walk through how flexible loads and grid-edge technologies are changing planning and operations, and why AI becomes so valuable once you have massive amounts of data and millions of devices behaving independently. We also get practical about infrastructure reality: new generation and transmission can take years, so operators need tools that help them manage reliability and resiliency right now, especially as large loads like data centers reshape local demand patterns.

Then we zoom into microgrids and distributed energy resources, from islanding during outages to providing grid services when connected. Finally, we tackle cybersecurity for a hyper-connected power system, including a cyber-physical approach that checks attacks against the laws of physics, plus the emerging challenge of securing AI itself. We close with a question worth sitting with: Are we working for AI, or is AI working for us?

Welcome to "AI or Not," the podcast where we explore the intersection of digital transformation and real-world wisdom, hosted by the accomplished Pamela Isom. With over 25 years of experience guiding leaders in corporate, public, and private sectors, Pamela, the CEO and Founder of IsAdvice & Consulting LLC, is a veteran in successfully navigating the complex realms of artificial intelligence, innovation, cyber issues, governance, data management, and ethical decision-making.

AI doesn’t need permission to enter your organization anymore because it arrives bundled inside the software you already pay for. That is why “we don’t use AI” can be the riskiest assumption of all. We sit down with Chad Ratashak, an AI risk leader and the Midwest Frontier AI Consulting enterprise leader, to talk about what actually changes when generative AI becomes a background feature in email, search, documents, and video calls.

We dig into the hard problem most people hand-wave away: hallucinations in large language models (LLMs) like ChatGPT. Chad explains why the models can produce convincing falsehoods, why that risk is not “solved,” and what the legal world learned from the Mata v Avianca case where fake citations became a real courtroom issue. From there, we get practical about verification habits, risk appetite, and the time cost of validating AI output so you know when AI is worth using and when it is pure friction.

Then we move into AI transcription and meeting notes: the difference between built-in Zoom or Teams transcription and third-party bots that “join” as attendees, how default settings can leak sensitive pre-meeting banter, and why AI transcripts can omit key objections or misattribute who said what. We also talk shadow AI, why training beats forced AI mandates, and how agentic AI and coding assistants can create outsized damage unless you design for failure with backups, least privilege, and resilience testing.

We close with the darker side: deepfake voice and live video filters enabling cryptocurrency scams, fake family emergencies, and evolving ransomware tactics. If you want a clear-eyed, actionable framework for AI governance and cybersecurity risk, press play, share this with a colleague, and leave a review with the one AI risk you want us to tackle next.

Welcome to "AI or Not," the podcast where we explore the intersection of digital transformation and real-world wisdom, hosted by the accomplished Pamela Isom. With over 25 years of experience guiding leaders in corporate, public, and private sectors, Pamela, the CEO and Founder of IsAdvice & Consulting LLC, is a veteran in successfully navigating the complex realms of artificial intelligence, innovation, cyber issues, governance, data management, and ethical decision-making.

A bid protest can look like a fight over a contract award, but it’s also one of the few tools that keeps federal procurement transparent, competitive, and less vulnerable to bad decisions. We sit down with David Timm, a claims and bid protest partner at Burr & Forman, to unpack how protests work at the agency level, the GAO, and the Court of Federal Claims and why the smartest “win” often happens before proposals are even due.

We get practical about the pre-award phase: using RFIs and solicitation Q&A to resolve ambiguities, challenge overly restrictive requirements, and raise set-aside concerns like the rule of two. David explains why early engagement can save money, reduce contention, and improve your chances of award, especially if you’re a small business navigating the FAR and tight proposal timelines.

Then we tackle the fast-growing collision between government contracting and generative AI. David shares what he’s seeing in procurement tribunals: hallucinated case law, misstated holdings, and filings that trigger warnings or sanctions, including monetary penalties and dismissed cases. We also explore a new frontier for proposal strategy, including solicitations that disclose AI-assisted evaluation, what contractors should ask about which large language model is used, and why AI summaries can create compliance failures through the “lost in the middle” problem.

We close with two tools you can use immediately: submit early and confirm receipt to avoid “late is late” landmines, and build a simple risk-versus-importance matrix to decide when AI is worth it. Where does AI help your proposals most, and where is it too risky?

For more information, please see this resource:

https://www.burr.com/government-contracting/gen-ai-misuse-in-procurement-litigation