Start Small, Think Big - A podcast and newsletter that guides you on your AI and Automation journey.

Follow the SSTB Newsletter.Thank you to Hanah Darley, and check out geordie.ai.SummaryIn this episode of the Start Small Think Big podcast, hosts Brad and Robert welcome Hannah Darley, Chief AI Officer at Geordie AI. The conversation explores Hannah's unique background in government intelligence, her transition to the tech industry, and the founding of Geordie AI. They discuss the challenges of AI adoption, the importance of understanding agentic AI, and the balance between innovation and risk management. Hannah shares insights on building a strong founding team, creating a positive company culture, and the significance of customer-centric product development. The episode concludes with rapid-fire questions and personal insights from Hannah about leadership and the journey of launching Geordie AI.KeywordsAI, agentic AI, Geordie AI, innovation, cybersecurity, risk management, startup culture, product development, team building, leadershipTakeawaysHannah Darley has a unique background in government intelligence and data analytics.AI adoption requires trust and visibility to be successful.Understanding the specific problem to solve is crucial before deploying AI agents.Agentic AI represents a shift in how businesses operate, requiring new governance frameworks.Building a strong founding team is essential for startup success.Diversity of thought enhances problem-solving capabilities.The journey of launching a product involves continuous learning and adaptation.Establishing a positive company culture fosters collaboration and innovation.Customer-centric product development is key to addressing real business needs.Risk management is vital when implementing AI solutions.TitlesNavigating the Future of AI with GeordieThe Journey of AI InnovationSound Bites"You can learn to be technical.""Eat the frog first.""Agents are the future of work."Chapters00:00 Introduction to the Podcast and Guests01:44 Hannah Darley's Unique Background and Experience04:08 Government Work and Its Challenges08:53 The Vision Behind Geordie AI11:32 Understanding Agentic AI14:15 Balancing Risk with Agentic AI17:18 Assembling the Geordie Team27:22 Customer-Centric Approach to AI Solutions30:04 Trends in Agentic AI Adoption35:18 The Future of Decision-Making in AI37:04 Building Partnerships with Clients38:56 The Future of SaaS and AI Solutions41:47 Understanding AI Adoption and Governance45:43 The Role of Security in AI Implementation49:31 Key Questions for AI Deployment51:33 The Geordie Story: Illuminating Risks in AI01:01:59 Reflections on Launching Geordie01:05:38 The Future of AI Agents and Their Impact01:07:36 The Endhttps://linktr.ee/digitalmeldWe build tools that save businesses time and money by helping them unlock their greatest potential and achieve growth through data, automation, and AI-powered solutions.

AI can help you finish the work. It cannot take responsibility for whether the work is right.Doug Gabbard, Principal Cloud Solution Architect at Microsoft and the creator behind Practicing Photography, joins Brad Groux and Robert Groux to talk about using AI where it actually helps: learning unfamiliar creative tools, finding buried knowledge, improving scripts, and turning experience into better requirements.Doug shares how he uses screenshots to get help in Photoshop and Lightroom, builds agents around departmental SharePoint knowledge, and brings engineering discipline to his photography workflow. We also get into the limits: confident wrong answers, missing security requirements, the future of entry-level learning, and why people skills still matter.The question to take back to your next project: What did I miss?TakeawaysStart with a real task you understand, not a tool you want an excuse to use.Give AI the relevant context: source material, desired outcome, constraints, and what failure looks like.A script that runs is not automatically secure, scalable, or ready for other people to use.Ask for criticism and missing requirements, then check the response against evidence.Use AI to repurpose your own ideas without handing over your point of view.Keep learning the fundamentals—and learn to explain them to people.Resources discussedMicrosoftAdobe PhotoshopAdobe LightroomChatGPTGeminiClaudeMicrosoft CopilotSharePointBackblazeAzure Blob StorageSynologyn8nSupabaseOpenClawPowerShellMicrosoft SentinelMicrosoft Agent Builder quick start (PDF)Follow DougPracticing PhotographyYouTubeLinkedInFollow Start Small, Think BigFind the podcast, newsletter, and our other channels: https://linktr.ee/digitalmeldMore episodes and articles: https://digitalmeld.io/podcast/Recorded February 19, 2026. Product availability, pricing, and policies discussed reflect the conversation at that time. Doug shares his own experience; this is not an official Microsoft product announcement.Recorded and edited using Riverside — https://go.sstb.ai/riverside (affiliate link).Affiliate disclosure: Some links above are affiliate links. Digital Meld may earn a commission if you purchase through them, at no additional cost to you.

Follow the Start Small, Think Big newsletter:https://www.linkedin.com/newsletters/7305986878653022210/Sid Atkinson, co-founder and CEO of Applied Curiosity and co-host of The Data Culture Podcast, joins Brad Groux to explain why AI readiness starts with better questions, consistent data practices, and a clear business purpose—not another platform.Brad and Sid discuss how lightweight governance helps smaller companies move quickly without taking unnecessary risks, why institutional knowledge needs context and effective dates, and how leaders can close the perception gap between what they think is happening and the ground truth inside the business.They also explore the role of SOPs in agentic work, the danger of treating governance frameworks as the goal, how to balance repeatable processes with innovation, and why human accountability remains essential. Sid closes with a blunt rule for every leader: know the nouns that define your business—customers, markets, segments, channels, and products—before asking AI to reason across them.KEY TAKEAWAYS• Start with the business questions that matter, then identify the data and capabilities required to answer them.• Small organizations need lightweight rigor, not enterprise bureaucracy.• Capture the reasoning and context behind experienced employees’ decisions, not only the written steps.• Tag or retire outdated knowledge so AI does not treat decades of documentation as one current truth.• Use governance frameworks to identify useful capabilities; do not mistake the framework for the mission.• Standardize proven work and reserve deliberate time and budget for larger experiments.• Automate the discovery of commitments and follow-ups, while keeping human relationships human.• Define the shared nouns of the business before attempting advanced analytics or AI.RESOURCES DISCUSSED, IN EPISODE ORDERApplied Curiosity — https://www.appliedcuriosity.ai/The Data Culture Podcast — https://rss.com/podcasts/dataculture/Veritas Kanban — https://github.com/BradGroux/veritas-kanbanLeaders Eat Last — https://simonsinek.com/books/leaders-eat-lastStart With Why — https://simonsinek.com/books/start-with-whyThe Infinite Game — https://simonsinek.com/books/the-infinite-gameIn Search of Excellence — https://tompeters.com/writing/books/OpenClaw — https://openclaw.ai/Like Clockwork — https://samgoodner.com/Start Small, Think Big links — https://linktr.ee/digitalmeldCRISP-DM — https://www.ibm.com/docs/en/spss-modeler/18.6.0?topic=guide-about-spss-modelerDAMA-DMBOK — https://dama.org/learning-resources/dama-data-management-body-of-knowledge-dmbok/CMMI Model — https://www.isaca.org/resources/reference-guide/cmmi-model-quick-reference-guideBrainMeld.io — https://www.brainmeld.io/Claude — https://www.anthropic.com/claudeMicrosoft 365 Copilot — https://learn.microsoft.com/en-us/microsoft-365-copilot/microsoft-365-copilot-overviewPLAUD — https://www.plaud.ai/Sid Atkinson on LinkedIn — https://www.linkedin.com/in/sidatkinsonTASSCC — https://www.tasscc.org/Watch, listen, and find Digital Meld at https://linktr.ee/digitalmeld.Digital Meld helps organizations build the capability to adapt by combining clear business standards, accountable AI, useful automation, and practical data systems.

Follow the SSTB Newsletter. Special thanks to Allen Martinez , and check out BXAIOS.SummaryIn this episode of the Start Small Think Big podcast, Brad Groux and Allen Martinez delve into the intricate relationship between AI, governance, and brand experience. They discuss the importance of coherence in AI systems, the necessity of establishing a solid governance framework, and the role of accountability and receipts in AI operations. The conversation also touches on the challenges of shadow IT, the significance of capturing corporate knowledge, and the evolving landscape of AI in business processes. Allen emphasizes the need for a holistic AI strategy that integrates governance, identity, and accountability to drive meaningful outcomes and compounding advantages for organizations.KeywordsAI, governance, brand experience, accountability, coherence, business processes, knowledge capture, ROI, automation, shadow ITTakeawaysAI is not just about technology; it's about the operating model.Creativity plays a crucial role in AI implementation.Connecting data across systems is essential for effective AI.Governance defines what AI can and cannot do.Every AI workflow must have a defined trigger for human intervention.The corporate hippocampus helps capture and organize knowledge.Measuring hidden costs of AI outputs is vital for understanding ROI.Building a brand identity is crucial for AI success.A center of excellence can streamline AI governance.The future of work will involve leveraging AI for enhanced productivity.TitlesUnlocking AI: Governance and Brand ExperienceThe Future of AI in Business: Strategies for SuccessSound Bites"You need to start connecting the data.""The future favors the bold.""Governance is your charter."Chapters00:00 Introduction to AI and Governance02:25 The Journey of Allen Martinez05:21 Understanding AI's Role in Business08:18 The Importance of Data Integration10:53 Governance, Identity, and Receipts in AI13:59 Building a Holistic AI Framework16:34 The Balance of Constraints in AI19:26 Conclusion and Future of AI Governance22:29 The Role of Governance in AI25:13 Understanding Constraints in AI Deployment27:27 Navigating Governance in Mid-Market Companies29:22 Balancing Innovation and Risk Management31:04 Building a Defensible Business Case for AI32:35 Establishing a Center of Excellence33:03 Setting Standards for AI Governance36:11 The Importance of Corporate Memory40:37 The Corporate Hippocampus and Brand Advantage45:14 Building Authentic Connections in AI45:53 The Importance of Execution Over Technology46:39 The Rise of Small Innovators in AI48:25 Measuring Hidden Costs in AI Implementation49:34 The Future of SaaS in an AI-Driven World52:44 Governance and AI Workflows52:58 First Steps in AI Adoption55:28 Revolutionizing Work with AI56:47 The Need for Educational Reform58:36 Encouraging Entrepreneurship in the AI Era01:02:08 The Endhttps://linktr.ee/digitalmeldWe build tools that save businesses time and money by helping them unlock their greatest potential and achieve growth through data, automation, and AI-powered solutions.

Follow the SSTB Newsletter. Special thanks to Matt Dorman, and check out NDEVR.SummaryBuilding scalable digital systems doesn't require reinventing the wheel—it requires understanding what problem you're actually solving. In this episode, Brad Groux talks with Matt Dorman, co-founder of NDEVR, about the intersection of AI, automation, and business process optimization. They explore how mid-market companies can punch above their weight class by choosing the right tools, establishing process maturity before implementing automation, and navigating the gap between hype and delivery. From vibe coding as a proof-of-concept tool to governance frameworks that don't kill momentum, this conversation cuts through the noise with 30+ years of combined experience in building digital solutions that actually work.The core insight: process maturity must come first. Without clear problem definition, strong SOPs, and alignment across audience experience (end users), operator experience (internal teams), and builder experience (development), even the best AI tools amplify existing chaos rather than solve problems. Learn why "replacing friction, not people" is the philosophy that scales, how to evaluate when custom solutions are justified versus SaaS platforms, and why the last 20% of implementation—the spit and polish—requires expert evaluation that no model can currently provide.KeywordsAI automation, process maturity, product requirements document (PRD), SaaS vs custom solutions, vibe coding, LLM ROI, governance, workflow optimization, mid-market scaling, business transformation, catered solutions, three pillars of experience, digital services, e-commerce, NDEVRTakeawaysProcess maturity first: Define workflows, establish SOPs, and document problem statements before implementing any tool or automation. Without this foundation, tools amplify chaos instead of solving it.Vibe coding is discovery, not deployment: Use AI-powered no-code platforms to rapidly iterate on proof-of-concepts and build stakeholder alignment. Production implementations always require expert refinement and evaluation.Watch workflows, don't just ask about them: Observe how people actually work to uncover hidden inefficiencies. Most workflow problems are already solved by existing tools—they just don't know it.The last 20% requires expert evaluation: Even production-ready AI outputs need human review. Instruct models to challenge you: Tell LLMs to question your assumptions rather than provide false affirmation. TitlesProcess Maturity First: How to Scale Digital Systems Without the HypeReplacing Friction, Not People: Building Automation That Actually WorksThe Three Pillars of Experience: Balancing Audience, Operations, and Builders in Digital TransformationSound Bites"Process maturity needs to be true before AI and automation works.""The promises just keep coming and the delivery is meh. It's close.""Automation isn't always a technology solution. Sometimes it's just a workflow you didn't know existed.""Everything you do whenever you start is like, what is our goal? And what are the bells and whistles and systems and services that we need to include within that goal?""The cost of maintenance outweighs the cost to build."Chapters00:00 Introduction 05:20 Remote-first business model and competitive advantage in tech hiring 08:15 Discovery process12:30 SaaS vs. Custom vs. Open Source16:45 Vibe Coding as Proof-of-Concept20:30 Product Requirements Documents (PRDs)24:00 The Three Pillars of Experience28:15 AI ROI Reality Check31:45 Research and Diagnostics35:20 Model selection38:30 Catered Solutions41:15 Governance without friction44:00 The human bottleneck47:30 Closing thoughtshttps://linktr.ee/digitalmeldWe build tools that save businesses time and money by helping them unlock their greatest potential and achieve growth through data, automation, and AI-powered solutions.