Pick It Up: The AI Culture Podcast

AI is supposed to give us time back. Yet most of us have felt the opposite: the same workload pressure, just delivered faster, with higher expectations and less breathing room. We dig into the cultural trap hiding inside “AI efficiency”, and we keep coming back to one simple question that every leader should be asking out loud: if AI creates time, who actually gets that time back?

Denise Castaneda, a change and digital transformation leader, joins me to unpack what she’s seeing across enterprise AI adoption, from pilot-to-program rollouts to operating model change. We talk about why organisations often chase headcount reduction and process optimisation, while missing the bigger prize: reinvesting reclaimed capacity into strategic thinking, innovation, coaching, and better decisions. We also get honest about the reality of AI tools in daily work, where prompt loops, sense-checking, and “reverse prompting” can sometimes add time instead of saving it.

We then zoom in on leadership behaviours that shape AI culture: role modelling responsible use, challenging outputs for accuracy, and setting a quality bar so teams don’t just “generate and go”. To make it practical, we share a simple one week AI audit you can run with your team to track what AI frees up and where that time actually goes, so you can choose reinvestment on purpose rather than by default.

If this sparked a thought, subscribe, share with a colleague, and leave a review. What would you reinvest your AI time savings in first?

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Disclaimer: The views and opinions expressed in this podcast are entirely those of the host (and guests) and do not reflect the official views or position of any employer, client, or organisation. 

Today we reach the capstone of our foundational series: Culture. 

If Capability gives leaders the language, Competency gives teams the habits, and Connectivity gives the organisation momentum, Culture is what makes it safe. 

In this episode, we unpack why an "AI-native culture" isn't about turning every employee into an engineer. It’s about reaching the point where using AI is as routine as opening Teams or Outlook—and where people know exactly when to trust the tool, and when to override it. 

Key takeaways inside:

• The 4 Cs Synthesised: How leadership capability, tiered competency, and grassroots communities converge to create psychological safety. 
• Bridging the Great Divide: Managing the gap between colleagues needing prompt basics and power users building custom agents. 
• The "Junior Analyst" Reality: Why generative AI won't replace change and adoption leads, but accelerates the admin so we can focus entirely on human relationships. 
• The Google Maps Analogy: Why AI is like a SatNav trying to send you down a questionable side road—and why your local context, experience, and judgment must always hold the steering wheel. 
• Learner Drivers & Mentorship: How experienced leaders act as driving instructors, guiding newcomers until independent judgment forms. 

🍬 pickIT & Mix Special Feature: To celebrate the LSE cohort meetup tonight (6th October), Pratish looks back on his nine months completing the LSE AI Leadership Accelerator Programme. He shares an honest practitioner review: the four core modules, balancing assignments with ultra-marathon training, the power of peer WhatsApp groups, and graduating with a distinction.

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Disclaimer: The views and opinions expressed in this podcast are entirely those of the host (and guests) and do not reflect the official views or position of any employer, client, or organisation. 

Today we are unpacking the third C of our framework: Connectivity. If Capability gives leaders the language and Competency gives teams the habits, Connectivity is what gives your organisation real momentum. 

In this episode, we explore why communities are the true engines of change. Drawing on real-world lessons - from scaling a Microsoft Teams community from 600 to 60,000 users, to a current rollout of Copilot to 85,000 people - we break down exactly how to orchestrate networks that make AI stick. 

Key takeaways inside:

• Map What Exists: How to find and support the pockets of AI activity already moving fast in your business, without taking them over. 
• Add Light Structure: Providing the subject matter experts (SMEs), technical advice, and guardrails natural communities need to scale safely. 
• Design for Purpose: The three specific communities you need to spin up right now—the Newcomer safe space (Apply), the Manager network (Optimise), and the SME/Technical hub (Transform). 
• The Pub Landlord Rule: Why consistency, rapid responses, and holding space (even when the room is empty) are the secrets to organic community growth. 

🍬 pickIT & Mix Segment: We close this episode with a special twist on our usual grab-bag segment. Instead of an internal team exercise, I am inviting you to join my external AI community. Reply to this episode's post, drop a comment, or send a direct message with #AICommunity to connect, share ideas, and navigate the AI journey together in a dedicated safe space. 

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Disclaimer: The views and opinions expressed in this podcast are entirely those of the host (and guests) and do not reflect the official views or position of any employer, client, or organisation. 

Most organisations still think buying a stack of licences and sending everyone a 45‑minute e‑learning module makes them “AI ready”. It doesn’t. If nobody is using the tools on Monday morning, those completion rates are just vanity metrics.

In Episode 3 of pickIT Up, I’m digging into the second pillar of the 4 Cs: Competency - the stage where AI stops being a shiny tool and starts becoming a daily habit.

Competency isn’t a certificate. It’s a behavioural pathway that moves teams through three stages: Apply → Optimise → Transform. And in this episode, I break down exactly how leaders and change managers can help their teams move past the initial plateau and turn individual experimentation into shared operational impact.

Here’s what we get into:

Stage 1 - Apply: Make it real, make time, build trust

Why generic training doesn’t work, how to make AI relatable to each role, why learning time has to be protected as actual work time, and why safe internal experimentation is always better than Shadow AI.

Stage 2 - Optimise: From personal hacks to team time savings

This is the point where most enterprise AI adoption stalls. I walk through how to shift from “AI saves me an hour” to “AI saves our team X hours a week” using a simple 3-4 hour Workflow Hackathon, the Value vs Drag test, and the delivery buffers managers need to build in.

Stage 3 - Transform: When competency compounds

Once teams optimise what they control, transformation becomes a natural progression. We look at how local workflow improvements scale into cross‑functional collaboration and the beginnings of a truly AI‑native culture.

🍬 This Week’s pickIT & Mix

Forget the £500 webinars. The frontier labs - Microsoft, OpenAI, Anthropic, Google - are releasing world‑class training and interactive sandboxes for free.

I share the Free Session Scanner & What’s New Prompt, built on the GCSE framework (Goal, Context, Source, Expectation). 

Drop it into any web‑connected LLM every Monday morning and you’ll have a clean directory of verified first‑party training plus a weekly update feed your team can act on straight away.

Grab the prompt, give it a run with your team, and let’s pickIT Up together.

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Disclaimer: The views and opinions expressed in this podcast are entirely those of the host (and guests) and do not reflect the official views or position of any employer, client, or organisation. 

What do you do when senior leaders are expected to steer AI strategy, manage software budgets, and guide anxious teams — when nobody was ever handed a playbook for this technology?

In Episode 2 of pickIT Up, I explore the first pillar of my 4 Cs framework: Capability. Moving away from dry e-learning modules, I break down how 90-minute leadership enablement cohorts create psychological safety, establish a common executive language, and build localised playbooks together. 

In this episode:

• The Rumsfeld Matrix: Mapping governance (known unknowns) against LLM realities and token costs (unknown unknowns).
• Discussion Beats Decks: Why "cameras on, transcripts off" and icebreakers transform passive meetings into proactive strategic debates.
• Augmentation vs Automation: Why framing terminology correctly changes team panic into immediate buy-in.
• Commercial Acumen: Token caps, context engineering, and avoiding budget shocks.
• Executive Cohesion: Moving from individual silos to joined-up leadership playbooks.

💡 pickIT & Mix Feature: I unpack the Five Leadership Behaviours That Make AI Transformation Stick — the core roles every executive must model. 

Download the free one-page cheat sheet! 

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Disclaimer: The views and opinions expressed in this podcast are entirely those of the host (and guests) and do not reflect the official views or position of any employer, client, or organisation. 

We unpack why AI spend keeps rising while real adoption flatlines, then shift the focus from tools to people change using a simple Four Cs framework for AI Transformation. 

We end with our PickIT&Mix: a practical reverse prompting technique that stress tests your ideas before your stakeholders do. 

• AI rollouts failing due to treating adoption like a tick box technology programme 
• The Four Cs framework for readiness: capability, competency, connectivity, culture 
• Capability through leadership pathways, shared language, and consistent role modelling 
• Competency as apply then optimise then transform, with managers removing friction 
• Connectivity by breaking silos, building communities, and reducing duplicated agents 
• Culture built on psychological safety, curiosity, and sharing failures openly 
• Three scenarios to diagnose where a team gets stuck across the Four Cs 

Don't forget to drop me a comment in the episode. If you don't want to write it publicly, send me a direct message. I'd love to know where you think you're at, but also on what you think about the four Cs for AI Transformation. 

Give that role reversal prompt a go this week. Drop me a comment to let me know how it went with the role reversal prompt. 

And of course, hit follow on Spotify, Apple, Amazon, wherever you get your shows. 

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Disclaimer: The views and opinions expressed in this podcast are entirely those of the host (and guests) and do not reflect the official views or position of any employer, client, or organisation. 

Most AI initiatives don't fail because the tech moves too fast. They fail because the culture isn't ready to move with it.

Welcome to pickIT Up: The AI Culture Podcast, hosted by Pratish, AI Transformation & Change Lead.

In this 60-second teaser, discover what to expect from our fortnightly show: sharp 20-minute breakdowns diving into our 4 Cs framework (Capability, Competency, Connectivity, and Culture), capped off with our signature 5-minute pickIT & Mix grab bag of actionable prompt hacks, team exercises, and micro-playbooks.

🗓️ Episode 1 drops on Tuesday, 11 August.

Hit Follow or Subscribe on Apple Podcasts, Spotify, YouTube, or wherever you listen to your podcasts so you’re ready when our first episode lands. Let's pickIT Up together!

Disclaimer: The views and opinions expressed in this podcast are entirely those of the host and do not reflect the official views or position of any employer or organisation.

Find my page or LinkedIn with me. 

Disclaimer: The views and opinions expressed in this podcast are entirely those of the host (and guests) and do not reflect the official views or position of any employer, client, or organisation.