In this episode of the Disambiguation podcast, host Michael Fauscette talks with Clayton Bryan, Head of Enterprise at Quill, about why data sovereignty is becoming the defining issue for enterprise AI adoption and why most companies are on the wrong side of the trend.

Clayton spent a decade as an early-stage investor at 500 Global before joining Quill, where he leads enterprise strategy. Quill's architecture is built local-first: audio transcription never leaves your device, and enterprise clients can bring their own LLM stack so that all data stays under their control. Clayton explains why this matters for regulated industries from defense to healthcare to financial services, how CISOs are becoming advocates once they understand the architecture, and why bolt-on governance will always leave gaps.

The conversation covers why ChatGPT has a "professional trust deficit," why the line between enterprise and personal AI is dissolving, how Quill's agent (Quilliam) automates post-meeting workflows like CRM updates and project management tickets, and why data sovereignty is on the same trajectory as HTTPS -- optional today for some, table stakes tomorrow for all.

Timestamps:
00:00 - Introduction
00:44 - Clayton's journey from 500 Global investor to joining Quill
03:48 - "AI without compromise" -- what that actually means
04:22 - Local-first architecture: audio never leaves your device
06:45 - Air-gapped deployments and who needs them
08:17 - GDPR demand and the EU enterprise tour
09:28 - Convenience vs. compliance: the real tradeoff
10:38 - Bottom-up adoption: when CISOs investigate and become advocates
12:34 - Why bolt-on governance is broken
14:28 - Governance by design at machine speed
14:57 - Investor-founders who understand what enterprise buyers actually need
17:11 - ChatGPT's "professional trust deficit"
19:31 - The dissolving line between enterprise and personal AI
20:48 - Beyond transcription: automating post-meeting workflows with Quilliam
24:27 - AI and the future of work: new skills, new opportunities
27:18 - Vibe coding: prototypes vs. production
30:13 - The future: local-first as minimum standard, not premium option
31:57 - Data sovereignty is the next HTTPS
33:12 - Recommendation: Matthew Berman

Guest: Clayton Bryan, Head of Enterprise, Quill
Host: Michael Fauscette, CEO & Chief Analyst, Arion Research

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In this episode of the Disambiguation podcast, host Michael Fauscette sits down with Dr. Deepak Bhootra, Founder of RISEUP Career Studio, for a candid conversation about why AI is creating an illusion of progress in sales while the real, hard work remains deeply human.

With 30 years in sales, a doctoral degree studying job satisfaction and organizational commitment, and an ICF coaching certification, Deepak brings a unique lens to the collision between AI hype and sales reality. He explains why salespeople use AI for the easy stuff like drafting emails but avoid using it for the hard stuff like self-reflection and honest deal analysis. He unpacks the "seductive" nature of AI output that makes activity feel like progress, the rise of individual shadow IT stacks where top reps spend $300 a month on personal tools they refuse to share, and why automating a broken process just scales the brokenness faster.

Deepak also introduces RISEUP Career Studio, his platform designed to help early-career professionals (ages 21-35) build the judgment, self-reflection, and career navigation skills that no college degree teaches and no AI can replace.

Timestamps:
00:00 - Introduction
00:45 - Deepak's 30-year sales journey and why he founded RISEUP
04:08 - "AI is the biggest distraction" in sales
06:37 - Why salespeople will never admit AI made them better
07:58 - How sales leaders should reframe AI adoption
10:16 - The cold email nightmare: 12,000 to 62,000 emails, same revenue
12:05 - AI-written LinkedIn profiles are sending false signals
14:35 - Shadow IT goes personal: reps building their own AI stacks
18:35 - Why top reps refuse to share their prompts
20:23 - The ethics of presenting AI output as your own work
23:42 - 70% transformation failure and the vision-to-execution gap
26:31 - "Scaling stupidity": when AI automates broken processes
29:13 - The black box trust problem in sales AI
31:31 - Using generative AI to demystify predictive AI
36:01 - RISEUP Career Studio: structured guidance for early careers
44:56 - The future of sales will be more human, not less
48:20 - Generic sellers are the next geriatrics
50:07 - Recommendations: Suresh Vasu, Mark Finnick, Ethan Mollick

Guest: Dr. Deepak Bhootra, Founder, RISEUP Career Studio
Host: Michael Fauscette, CEO & Chief Analyst, Arion Research

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Most enterprises think they are ready for autonomous IT. Most are not. And frankly, they should not pretend they are.

In this episode, Michael Fauscette sits down with Brian Amaro, Vice President of Customer Value and Partner Strategy at ScienceLogic, to map the real journey from reactive, siloed IT operations to autonomic IT. Brian shares the maturity progression his team built from hundreds of Fortune 500 engagements, the 15% adoption rate story that exposes the biggest misconception about AI in IT ops, and why the first win is never self-healing. It is better judgment under pressure.

TIMESTAMPS:
00:00 - Introduction
01:03 - Brian's Background and What ScienceLogic Does
02:51 - Why AI Can't Be Bolted On: ScienceLogic's Ground-Up Rebuild
04:55 - Autonomic IT: Where Are We Really on the Journey?
07:20 - Assisted Autonomy Is Real; Broad Autonomy Is Not a Day One Strategy
09:23 - Human in the Loop to Human in the Lead: The Trust Progression
10:05 - Trust Formation, Not Speed: Where Most AI Adoption Goes Wrong
10:53 - The 15% Adoption Rate Story: Why Engineers Resisted AI
12:19 - Human on the Loop: Supervising Outcomes, Not Approving Actions
12:41 - Human in the Lead: Defining Intent, Not Controlling Tasks
13:59 - Moving Past the Approval Trap: Policy-Based Control
16:19 - Skylar Advisor: From "What Fired" to "What Matters"
19:31 - Why Observability, AI, Automation and Compliance Must Be One Platform
22:05 - What Analyst Recognition Tells Us About Where the Market Is Heading
24:09 - AI Governance by Design: Guardrails, Auditability, and Transparency
27:13 - Real-World Customer Journey: From Reactive Ops to Governed Automation
30:17 - The First Win Is Not Self-Healing: It Is Better Judgment Under Pressure
31:00 - The Hybrid Workforce in IT Ops: Better Leverage, Not Fewer Engineers
33:56 - The 2-3 Year Outlook: AI as Operating Model, Not Feature Rollout
36:13 - Don't Wait for Perfect Data: Start Where the Pain Is High
37:15 - Brian's Recommendation: Ethan Mollick's Co-Intelligence
38:30 - Wrap-Up

ABOUT THE GUEST:
Brian Amaro is the Vice President of Customer Value and Partner Strategy at ScienceLogic, where he has spent years working across customer strategy, advisory, and operational transformation. A certified Project Management Professional (PMP) with 30 years of experience, Brian helped build ScienceLogic's maturity model drawn from over 300 Fortune 500 customer engagements.

ABOUT DISAMBIGUATION:
AI clarity for business leaders. New episodes every Wednesday.
Host: Michael Fauscette, CEO & Chief Analyst at Arion Research
Author of "Building the Digital Workforce"

SUBSCRIBE & follow for weekly episodes on AI strategy, agentic AI, and enterprise technology.

Website: https://www.disambiguationpod.com/
Arion Research: https://www.arionresearch.com/
LinkedIn: https://www.linkedin.com/in/mfauscette/

Most companies jump straight to AI use cases. They pick the hottest tools, launch pilots, and wonder why nothing scales. The problem isn't the technology. It's that they don't have a map of how work and decisions actually move through their organization.

In this episode, Michael Fauscette sits down with Minyang Jiang (MJ), Chief Strategy & Revenue Officer at Credibly, to unpack what she calls the Intelligence Model: a framework for understanding where AI excels, where humans still lead, and why the scarcity models that shaped how businesses operate for decades are now being fundamentally challenged by AI's abundance. MJ also shares hard-won lessons from leading AI transformation at a fintech lending company, including why friction is something leaders should protect, not eliminate.

TIMESTAMPS:
00:00 - Introduction
01:16 - MJ's Path: From Ford Motor Company to Fintech AI Transformation
03:17 - Why System-Level AI Change Is So Hard for Real Businesses
06:52 - The Intelligence Model: Mapping Work Before You Automate It
09:05 - The Scarcity Problem: Decisions Built Around Human Limits
10:34 - Where Humans Still Beat AI: Prioritization, Decisioning, and Intuition
13:17 - Why Human-AI Collaboration Still Produces the Best Results
15:52 - The Awkward Teenage Phase of AI Agents
18:32 - AI Has No Mental Model: The Adjacency of Expertise Problem
22:23 - Credibly AI: Patented AI Underwriting and Industry Classification
27:01 - The Explainability Tension: Complexity vs. Customer Trust
29:39 - Change Management: The Crowd, the Lab, and the Leader
33:35 - The Balloon Effect: Why AI Productivity Creates More Work, Not Less
37:19 - Human in the Loop to Human in the Lead: The Trust Progression
42:10 - Agent-to-Agent Commerce: Redesigning for Machine Buyers
45:37 - What Leaders Should NOT Do: The Case for Intentional Friction
48:48 - MJ's Recommendations: Stefano Bertoni and Lenny's Newsletter
49:51 - Wrap-Up

ABOUT THE GUEST:
Minyang Jiang (MJ) is the Chief Strategy & Revenue Officer at Credibly, a fintech lending company, where she leads the AI transformation and innovation team. Her career spans Ford Motor Company's marketing program, founding the Go Ride Health startup within Ford's mobility division, and building cross-functional AI adoption strategies in financial services.

ABOUT DISAMBIGUATION:
AI clarity for business leaders. New episodes every Wednesday.
Host: Michael Fauscette, CEO & Chief Analyst at Arion Research
Author of "Building the Digital Workforce"

SUBSCRIBE & follow for weekly episodes on AI strategy, agentic AI, and enterprise technology.

Website: https://www.disambiguationpod.com/
Arion Research: https://www.arionresearch.com/
LinkedIn: https://www.linkedin.com/in/mfauscette/

Up to 30% of enterprise code is now AI-generated. Microsoft's CTO projects 90% by 2030. But here's the problem: AI coding tools are optimized for speed and functionality, not security. Research shows AI-assisted development introduces roughly 45% more bugs and 40% more security vulnerabilities. And only 13% of AI-generated code is attributed back to a developer.

So who's accountable? And who guards the gates?

In this episode, Michael Fauscette sits down with Nir Valtman, co-founder and CEO of Arnica, to unpack why the speed gains from agentic coding come with hidden security costs, how to move from "vibe coding" to viable coding, and what a mature, secure AI-assisted development workflow actually looks like.

TIMESTAMPS:
00:00 - Introduction
00:43 - Nir Valtman's Journey: From Hacker to Security CEO
03:08 - The SolarWinds Turning Point
06:02 - The Hidden Risk of AI-Generated Code
08:17 - 45% More Bugs, 40% More Vulnerabilities: The Research
09:00 - The Attribution Problem: Only 13% Traced to Developers
10:00 - The Hidden Cost of Faster Code Generation
10:50 - Guiding Coding Agents to Write Secure Code
12:55 - Why Security at the Model Level Is Cost-Prohibitive
15:16 - Arnica's Agentic Rules Enforcer and AI SAST
20:33 - Pipeline-Based vs. Event-Driven Security Scanning
24:00 - From Vibe Coding to Viable Coding
24:57 - The Vision: Autonomous Software Development Done Right
27:40 - Where Humans in the Loop Still Matter
29:55 - What Keeps a Security CEO Up at Night
32:02 - The Cost Challenge of Enterprise-Scale AI Scanning
35:15 - Agents as a Digital Workforce for Development
35:57 - Where CISOs Should Start Right Now
38:23 - Governance by Design Meets AppSec
41:13 - Nir's Recommendation: The Acquired Podcast
42:35 - Wrap-Up

ABOUT THE GUEST:
Nir Valtman is the co-founder and CEO of Arnica, a software supply chain security company. He holds seven patents in software security and has held security leadership roles including CSO at Kabbage and VP of Security at Nostra. Nir brings a hacker's mindset to enterprise application security.

ABOUT DISAMBIGUATION:
AI clarity for business leaders. New episodes every Wednesday.
Host: Michael Fauscette, CEO & Chief Analyst at Arion Research
Author of "Building the Digital Workforce"

SUBSCRIBE & follow for weekly episodes on AI strategy, agentic AI, and enterprise technology.

Website: https://www.disambiguationpod.com/
Arion Research: https://www.arionresearch.com/
LinkedIn: https://www.linkedin.com/in/mfauscette/

Your AI agents are running. But can you go to sleep at night knowing they won't send 3,000 emails to the same person, run up a $3,000 bill overnight, or give away refunds your business can't afford?

In this episode, Michael Fauscette sits down with Logan Kelly, CEO of Waxell AI, to explore why governance for agentic systems is not observability, not guardrails, and not something you bolt on after deployment. It's a dedicated plane that has to be there from the start.

TIMESTAMPS:
00:00 - Introduction
00:45 - Logan's journey from CallSine (autonomous sales agents) to Waxell AI
03:55 - What a governance plane actually does and why the distinction matters
07:06 - Why "we'll deal with governance later" is a dangerous bet
09:34 - 26 governance categories and 200-300 policies per agent fleet
10:20 - Deterministic observability vs. probabilistic agent governance
13:14 - Failure modes don't have to be terminal: the manager-employee model
14:05 - The Gong analogy: why agents need real-time coaching, not post-game review
16:42 - Making governance accessible to non-engineers
18:12 - Real-time semantic interception: filtering outputs before they reach the customer
21:17 - The air traffic controller analogy: governing upstream, not at the gate
23:11 - Business operations teams setting agent policies without writing code
25:43 - Digital employees: why business leaders need to be in the governance loop
28:00 - "Go to sleep at night" as the real value proposition of governance
29:47 - MCP layer security vulnerabilities and the rug pull attack
31:16 - Governance by design: building it into infrastructure from day one
34:07 - How governance actually makes agents faster and more creative
35:31 - Protecting customer experience and brand at machine speed
39:29 - The next 12-18 months: autonomy at scale vs. co-work at scale
43:02 - Thought leader recommendation: Dharmesh Shah (HubSpot)

ABOUT THE GUEST:
Logan Kelly is the CEO of Waxell AI, a governance plane for agentic systems. Previously, he founded CallSine, an AI-driven sales engagement platform that deployed fully autonomous agents, where he experienced firsthand the cost, quality, and security challenges that emerge when agents operate without a governance layer. That experience drove him to build the infrastructure that lets organizations run agents safely at scale.

CONNECT WITH LOGAN:
LinkedIn: https://www.linkedin.com/in/logankkelly/
Company: https://www.waxell.ai/

ABOUT DISAMBIGUATION:
AI clarity for business leaders. New episodes every Wednesday.
Host: Michael Fauscette, CEO & Chief Analyst at Arion Research
Author of "Building the Digital Workforce"

SUBSCRIBE & follow for weekly episodes on AI strategy, agentic AI, and enterprise technology.

Website: https://www.disambiguationpod.com/
Arion Research: https://www.arionresearch.com/
LinkedIn: https://www.linkedin.com/in/mfauscette/

#AI #ArtificialIntelligence #AgenticAI #AIGovernance #EnterpriseAI #AIStrategy #AIAgents #Podcast

A US AI company designated a supply chain risk by its own government. An executive order to override state AI regulation. A paper that stunned the math world. March was one of the most consequential months in AI yet.

In this episode, Michael Fauscette and co-host Tom Pringle break down the biggest AI stories of March 2026, from the Anthropic-DoD standoff and its fallout, to OpenAI's GPT-5.4, NVIDIA's Vera Rubin platform, Yann LeCun's world models startup, Gemini's Apple partnership, the state of AI regulation on both sides of the Atlantic, and why governance by design isn't optional anymore.

TIMESTAMPS:
00:00 - Introduction
01:05 - Anthropic vs. the Department of Defense: Supply Chain Risk Designation
06:15 - The #UninstallChatGPT Movement and Claude's Surge
08:20 - Red Lines: Autonomous Weapons and Mass Surveillance
14:45 - OpenAI GPT-5.4 and Autonomous Multi-Step Workflows
17:50 - Governance by Design: Why After-the-Fact Doesn't Work at Machine Speed
23:20 - Rethinking Corporate Structure for a Hybrid Workforce
25:15 - NVIDIA Vera Rubin: 10x Performance Per Watt Over Blackwell
28:10 - Yann LeCun Leaves Meta, Launches World Models Startup
33:48 - Gemini 3.1 Pro, Apple Intelligence, and the Model Race
43:25 - Donald Knuth's "Cloud Cycles" Paper: Claude Opus 4.6 Stuns Mathematicians
45:55 - AI Regulation: Trump's Executive Order vs. EU AI Act Delays
53:00 - Cool Tech: Lego's AI-Powered Smart Brick
57:35 - Wrap-Up

ABOUT THE CO-HOST:
Tom Pringle is Director of Pilot Research, bringing a sharp, skeptical perspective on AI hype and a deep background in enterprise technology.

ABOUT DISAMBIGUATION:
AI clarity for business leaders. New episodes every Wednesday.
Host: Michael Fauscette, CEO & Chief Analyst at Arion Research
Author of "Building the Digital Workforce"

SUBSCRIBE & follow for weekly episodes on AI strategy, agentic AI, and enterprise technology.

Website: https://www.disambiguationpod.com/
Arion Research: https://www.arionresearch.com/
LinkedIn: https://www.linkedin.com/in/mfauscette/

We spend millions upgrading our technology infrastructure. We budget for servers, software, security. But what if the most critical infrastructure in your organization has no line item at all?

In this episode, Michael Fauscette sits down with Barbara Wittmann, Founder of Digital Wisdom Collective, to explore why "human infrastructure" should be on every CIO's budget, why change management is an outdated concept, and what it actually takes to prepare people for AI at the speed the technology demands.

TIMESTAMPS:
00:00 - Introduction
00:48 - Barbara's 25 years rescuing broken digital transformations
02:46 - The moment she decided to flip the equation
03:54 - Human infrastructure: what it includes and why it belongs on the IT budget
05:23 - Why AI failures are almost always human failures
06:10 - Change management is dead; continuous upgrade is what works
07:15 - Lessons from SAP's Business Process Renovation team and Hasso Plattner
10:03 - Why workers still keep Excel backups next to their enterprise systems
11:39 - Survival of the wisest: wisdom vs. knowledge in the AI era
14:58 - Wayfinding artifacts: shared maps that give organizations a compass
17:52 - Adaptive agency: the skill nobody is training for
20:58 - Human in the lead, not human in the loop
22:26 - Values-based AI governance and the ego problem
25:17 - The biggest breaking point is on the human side, not the tech side
28:44 - What 5,000+ IT leaders say about their AI adoption struggles
31:36 - Continuous upgrade: why one-and-done transformation is broken
34:12 - Judgment as the fastest-eroding human capability
37:09 - Thought leader recommendation: Unreasonable Hospitality by Will Guidara

ABOUT THE GUEST:
Barbara Wittmann is the Founder of Digital Wisdom Collective, where she helps organizations upgrade their human infrastructure for the AI era. With 25 years of experience rescuing broken digital transformation projects, including work on SAP's Business Process Renovation team alongside Hasso Plattner, Barbara brings a practitioner's perspective on why technology is rarely the problem and people always are.

CONNECT WITH BARBARA:
LinkedIn: https://www.linkedin.com/in/barbarawittmann/
Company: Digital Wisdom Collective

ABOUT DISAMBIGUATION:
AI clarity for business leaders. New episodes every Wednesday.
Host: Michael Fauscette, CEO & Chief Analyst at Arion Research
Author of "Building the Digital Workforce"

SUBSCRIBE & follow for weekly episodes on AI strategy, agentic AI, and enterprise technology.

Website: https://www.disambiguationpod.com/
Arion Research: https://www.arionresearch.com/
LinkedIn: https://www.linkedin.com/in/mfauscette/

#AI #ArtificialIntelligence #HumanInfrastructure #ChangeManagement #AIGovernance #DigitalTransformation #Leadership #EnterpriseAI #Podcast

Your website traffic is dropping, your click-through rates are falling, and your PDF lead magnets are dying in email inboxes. The way people search has changed, and if your content isn't structured for AI discovery, you're becoming invisible.

In this episode, Michael Fauscette sits down with Jenna Nelson, Founder of Her Agency, to explore the shift from SEO to AEO and GEO, why static content strategies are failing, and how to structure your brand for the way people actually search in 2026.

TIMESTAMPS: 
00:00 - Introduction 
00:46 - Jenna's background in digital marketing and AI implementation 
01:58 - The AI adoption timeline: why two years from now is too late 
04:01 - The leveling effect: small businesses can leapfrog right now 05:45 - Change management: why AI breaks bad processes faster 07:09 - The shift from keyword search to query-and-answer content
10:17 - Zero-click search and why the top three results are all that matter 
11:39 - Writing for machines and humans: structured schemas and FAQs 
13:36 - AEO vs GEO: answer engines vs generative engines explained 
15:53 - The generational shift: LLM-first search is already here 
17:21 - Tools for testing your AI visibility: Squarespace, Search Atlas 
18:55 - Static lead magnets are dead: what replaces the PDF 
22:38 - Michael's readiness assessment tool as a live example 24:30 - How AI-powered qualification tools transformed Jenna's sales process 
26:29 - Speed to market: test offers in an hour, not six months 27:54 - Brand-trained AI vs out-of-the-box: the difference is night and day 
30:29 - Reinforcement learning: feed your edits back into the system 
32:40 - Hyper-personalized lead gen: segmentation at the individual level 
35:43 - Advice for SMBs: start with visibility, then internal tools, then client-facing 
38:23 - Leadership and AI adoption: it should come from the top 40:42 - Thought leader recommendation: vibe coding tools like Lovable and Cursor

ABOUT THE GUEST: Jenna Nelson is the Founder of Her Agency, a digital marketing and AI implementation firm that helps businesses optimize their visibility for the AI-driven search landscape. With a background in brand strategy and digital marketing, Jenna specializes in AEO/GEO optimization, AI-powered lead generation tools, and helping companies train AI on their brand voice.

CONNECT WITH JENNA: LinkedIn: https://www.linkedin.com/in/jennalnelson/ Company: Her Agency
ABOUT DISAMBIGUATION: AI clarity for business leaders. New episodes every Wednesday. Host: Michael Fauscette, CEO & Chief Analyst at Arion Research Author of "Building the Digital Workforce"
SUBSCRIBE & follow for weekly episodes on AI strategy, agentic AI, and enterprise technology.Website: https://www.disambiguationpod.com/
Arion Research: https://www.arionresearch.com/ LinkedIn: https://www.linkedin.com/in/mfauscette/

What happens when a 25-year network engineer discovers that AI agents can talk directly to infrastructure? The answer is reshaping how we think about network operations, governance, and the future of IT.

In this episode, Michael Fauscette sits down with John Capobianco, Head of AI and Developer Relations at Itential, to explore how Model Context Protocol (MCP) is becoming the connective tissue between AI agents and enterprise systems, why network infrastructure needs a governance layer before autonomy, and what happens when you let 500 engineers loose on an AI agent in Slack.

TIMESTAMPS:
00:00 - Introduction
00:47 - John's journey from aluminum factory to network engineering
03:08 - MCP explained: why it's as significant as SMTP or HTTP
07:37 - Why business leaders should care about MCP
10:06 - Michael's personal MCP use case: content retrieval bot
12:40 - Democratizing access: you don't need a CS degree to start
14:03 - Web MCP: the future of agent-driven web interaction
16:12 - The Pyats MCP server: agents talking to Cisco devices
19:44 - How natural language changes network troubleshooting
22:01 - Itential's Flow AI and Flow MCP Gateway: the governance control layer
25:52 - Human in the loop, on the loop, and in the lead
26:34 - Governance by design: baking in guardrails, not bolting them on
30:10 - The digital workforce paradigm for agent deployment
33:28 - Open Claude bot: 1.5 million agents in six weeks
35:04 - MCP security: shadow AI, vetting tools, and common sense
39:02 - The Open Claude bot story: 30 social engineering attacks defeated
43:42 - Advice for IT leaders who feel they're falling behind
45:48 - The NOC in two years: Gartner's 70% augmentation prediction
50:30 - Thought leader recommendation: Damon Lightfoot

ABOUT THE GUEST:
John Capobianco is Head of AI and Developer Relations at Itential, with 25 years of network engineering experience spanning public and private sector roles, including senior network architect at the Parliament of Canada. He's authored two books on network automation, including a Cisco Press title on Pyats, and is a leading voice on blending AI agents with infrastructure management.

CONNECT WITH JOHN:
LinkedIn: https://www.linkedin.com/in/john-capobianco-644a1515/
Company: https://www.itential.com/

ABOUT DISAMBIGUATION:
AI clarity for business leaders. New episodes every Wednesday.
Host: Michael Fauscette, CEO & Chief Analyst at Arion Research
Author of "Building the Digital Workforce"

SUBSCRIBE & follow for weekly episodes on AI strategy, agentic AI, and enterprise technology.

Website: https://www.disambiguationpod.com/
Arion Research: https://www.arionresearch.com/
LinkedIn: https://www.linkedin.com/in/mfauscette/