{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"EP 270 - From AI Awareness \u2192 AI Readiness \u2192 AI Adoption with Jennifer Hufnagel","description":"Host Susan Diaz sits down with Jennifer Hufnagel (Hufnagel Consulting), an AI educator and AI readiness consultant who\u2019s trained 4K+ people. They break down what \u201cAI readiness\u201d actually means (spoiler: it\u2019s not buying Copilot), why AI doesn\u2019t fix broken processes or dirty data, and how leaders can build real capability through training programs, communities of practice, and properly resourced AI champions. Episode summary Susan Diaz and Jennifer Hufnagel met in \u201cthe most elite way possible\u201d: both were quoted in The Globe and Mail about women and AI. Jennifer shares her background as a business analyst and digital adoption \/ L&amp;amp;D consultant, and how she pivoted when clients began asking for AI workshops right after ChatGPT\u2019s release. Together, they map a simple but powerful framework:   AI awareness (practice + play, foundational learning, early change management)   AI readiness (software stack, data quality, workflows, current state, and - quietly - the \u201cpeople audit\u201d)   AI adoption (implementation, strategy, and ongoing integration)   Jennifer explains why \u201caudit\u201d language scares people, but the work is essential - especially talking to humans about what\u2019s frustrating, what takes time, and where fear is showing up. She shares what she\u2019s seeing after training thousands: AI fluency is still low, people obsess over tools, and many assume AI will solve problems that are actually process or data issues. The second half gets practical: what \u201cworkflows\u201d really mean (step-by-step checklists), how AI now makes documenting processes easier than ever (voice \u2192 SOPs), why prompt engineering isn\u2019t dead but \u201c100 prompts for your bookkeeping business\u201d is mostly snake oil, and why one-off training sessions don\u2019t create real fluency. They close with how to build sustainable AI capability: proper training programs, leadership-led culture, communities of practice, and protecting champions from becoming unpaid help desks. Key takeaways AI readiness is the middle of the journey. Jennifer frames AI maturity as: awareness \u2192 readiness \u2192 adoption. Most organisations skip readiness and wonder why adoption stalls. Readiness includes software, data, process\u2026 and people. You can call it a software\/data\/process audit, but you still have to talk to humans about their day-to-day work, pain points, and fears. That\u2019s where the truth lives. AI fluency is still lower than the headlines suggest. Jennifer questions rosy \u201c90% adoption\u201d stats because many rooms she\u2019s in still show low real-world usage beyond basic experimentation. Stop obsessing over tools. Companies are writing AI policy around tools and forcing everyone into a single platform. Jennifer argues the real goal is discernment, critical thinking, and clarity - not \u201cpick one tool and pray\u201d. AI doesn\u2019t fix broken processes or dirty data. If your workflows aren\u2019t documented, AI will scale the chaos. If your data is messy, the analysis will be messy too. Readiness comes first. A workflow is just a checklist. Jennifer demystifies \u201cworkflow\u201d as step-by-step instructions and ownership: who does what, when. Sticky notes on a wall is a valid start. Process documentation is easier than ever. You can dictate steps into a model (without passwords) and ask it to produce an SOP\/checklist - getting knowledge out of people\u2019s heads and into a shareable format. Prompting isn\u2019t dead, but promise-all prompt packs are mostly hype. Prompting differs by model, and the best move is often to ask the model how to prompt it - and how to troubleshoot when output is wrong. One-off AI workshops don\u2019t create fluency. AI changes too fast. Real capability requires programs, practice, communities of practice, office hours, and change management - plus leadership modelling and culture. Don\u2019t burn out your AI champions. Champions need dedicated time, resources, and leadership sponsorship. Otherwise they become unpaid AI help desks and the entire initiative becomes fragile. Community of practice is the unlock. Jennifer shares her in-person \u201cAI Chats &amp;amp; Bites\u201d group and encourages finding online + in-person + internal communities to keep learning alive.  Episode highlights 00:01 \u2014 The 30-day podcast-to-book sprint and why people are saying yes in December 00:40 \u2014 Susan + Jennifer meet via The Globe and Mail \u201cwomen and AI\u201d feature 01:21 \u2014 Jennifer\u2019s origin story: business analyst \u2192 digital adoption\/L&amp;amp;D \u2192 AI readiness 04:09 \u2014 The three-part framework: awareness \u2192 readiness \u2192 adoption 05:03 \u2014 Readiness: software stack, data quality (\u201cdirty data\u201d), and mapping current state 06:13 \u2014 \u201cPeople audit\u201d without calling it that: interview humans about pain + fear 08:02 \u2014 What Jennifer sees after ~4,000 trainees: fluency still low + stats don\u2019t match reality 09:38 \u2014 AI doesn\u2019t fix broken processes; it scales whatever is there 10:55 \u2014 Workflows explained as checklists; \u201cwon the lottery\u201d handoff test 12:18 \u2014 Dictate your process into AI \u2192 generate SOPs\/checklists 14:24 \u2014 Prompting isn\u2019t dead; ask the model to help you prompt + troubleshoot 17:50 \u2014 Why one-off training doesn\u2019t work; AI fluency requires a program + practice 22:15 \u2014 Burning out champions and why AI culture must be top-down 27:49 \u2014 Communities of practice: online + local + internal 31:00 \u2014 Common mistakes: vending-machine mindset, believing output, not defining the problem 35:31 \u2014 Women and AI: opportunity, fear, resilience, and \u201cbe in the grey\u201d 39:51 \u2014 Where to find Jennifer: hufnagelconsulting.ca + LinkedIn  Guest info Jennifer Hufnagel   Website: hufnagelconsulting.ca   Email: hello@hufnagelconsulting.ca   Best place to connect: LinkedIn - Jennifer Hufnagel   If AI adoption feels stuck in your organization, don\u2019t buy another tool first. Start with readiness:   Map one workflow end-to-end.   Talk to the humans doing it daily.   Clean up the process and data enough that AI can actually help.    Then build fluency through a program - not a one-off workshop - and protect your champions with real time and resources. &amp;nbsp; Connect with Susan Diaz on LinkedIn to get a conversation started.  Agile teams move fast. Grab our 10 AI Deep Research Prompts to see how proven frameworks can unlock clarity in hours, not months. Find the prompt pack here. 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