Episode Overview

What happens to your brand's reputation when AI agents, not your marketing team, are the ones answering questions about your company?

This week Peter is joined by Gal Borenstein, founder and CEO of The Borenstein Group and author of Don't Believe the Hype: When Trust Is on the Line. Gal has spent close to 30 years building and protecting brands for clients including Airbus North America and Forrester Research, and his book argues that generative AI has fundamentally broken the old model of brand control.

Gal explains why narrative ownership has shifted away from companies and towards AI search engines and anonymous online voices, why deploying AI agents without institutional knowledge is like handing your brand to a junior employee with no real-world experience, and why the businesses most at risk are the ones rushing to "keep up" without first getting their internal house in order.

The conversation covers his GUARDIAN Digital Trust Framework, the Boeing case study on what happens when problems don't travel up the chain of command, why "vanity metrics" won't save a damaged reputation, and a candid challenge to Gal himself: is there a conflict of interest in a branding agency owner writing a book that says companies need outside help?

What you'll learn:

Why AI search engines and generative answers have removed companies' control over their own brand narrative

The "junior employee" problem: why agentic AI without institutional knowledge creates real reputational risk

The three ways companies typically respond to AI disruption, and why the seemingly safest option is often the most dangerous

How the GUARDIAN Digital Trust Framework helps leaders build resilience before a crisis hits

What the Boeing case reveals about reporting culture and reputational collapse

Why "private company" is no longer a real strategy, and what a proper digital footprint actually involves

How to tell genuine trust signals apart from vanity metrics like follower counts

Gal's own answer to the "Start With Why" challenge, and what he changed his mind about in the last 12 months

About the guest:

Gal Borenstein is the founder and CEO of The Borenstein Group, a branding and PR agency, and the author of Don't Believe the Hype: When Trust Is on the Line, Activate!, and What Really Counts for CEOs. He has spent close to three decades advising C-suite executives on brand resilience.

Connect with Gal on LinkedIn or find his books on Amazon. Mention this episode when you message him for a complimentary copy of his latest ebook, Beating Goliath with AI.

The Digital Diaries is where we explore what it actually takes to lead, build, and transform in a world that won't slow down.

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Episode OverviewAfter 25 years inside enterprise transformation projects, Barbara Wittmann, Founder of the Digital Wisdom Collective, reached an uncomfortable conclusion: most technology projects don't fail because of the technology. They fail because organisations never built the human infrastructure to support it.

In this episode, Barbara and Pete unpack why she treats people as infrastructure in exactly the same way IT treats servers, including test environments, upgrade cycles and ongoingmaintenance. They get into alignment debt, the hidden cost that builds up when leadership assumes consensus that was never actually verified, and why 70 per cent of project time is spent solving the wrong problem entirely. Barbara also shares her four-pillar framework for collective problem-solving,why she believes organisations need “chiefs” rather than managers, and why AI's biggest gift might be forcing us to finally get honest about our own hallucinations.

This conversation is forleaders under pressure to show AI results fast, anyone running (or living through) a transformation project, and anyone curious about what “wisdom” actually means in a digital-first world.

Almost every executive will tell you they are committed to AI. Very few organisations are actually being transformed by it. So what is really happening in the gap between what leaders say about AI and what they do?

This week, Pete sits down with Dr Victoria Mensch, Founder and CEO of the Silicon Valley Executive Academy. With a PhD in Psychology, an MBA from UC Berkeley and over 25 years in Silicon Valley technology including 14 years at SAP, Victoria spends her working life helping senior leaders lead AI transformation. As a psychologist, she has a sharp diagnosis of what is actually holding them back, and it is not strategy. It is identity.

This is a conversation about the human side of AI adoption: the identity crisis it triggers in senior leaders, the quiet sabotage that follows, and what genuine transformation looks like once you stop treating AI as just another efficiency play.

In this episode:

- Why AI adoption stalls long after the strategy is signed off

- The difference between using AI to do existing work faster and using it to transform the work itself

- The identity crisis hitting senior leaders: if AI can do intellectual work better, what is left for me?

- Why fear of replacement quietly shows up as sabotage at every level of an organisation

- The unbundling of job roles, and how to take ownership of your career inside it

- What the Silicon Valley Innovation Playbook offers leaders in more traditional industries

- Why genuine transformation requires the courage to push back on pure efficiency pressure

- How AI amplifies burnout by setting false expectations of human output volume

- A practical, science-backed approach to replenishing energy in a high-pressure environment

- Why we overestimate AI's short-term impact and underestimate how it reshapes work over time

- The mindset that will separate leaders who genuinely transform from those who only perform it

Standout moment: Victoria reframes AI resistance as an identity crisis rather than a strategy debate. The private question every executive is asking, she argues, is "if AI can do it better, what am I?", and it often shows up as sabotage rather than honest pushback.

About Victoria:

Dr Victoria Mensch is Founder and CEO of the Silicon Valley Executive Academy (SVEA), a boutique executive education and innovation consulting firm. She designs immersion programmes that equip global leadership teams to lead AI transformation, drawing on her V.I.T.A.L. method and the Silicon Valley Innovation Playbook. Her work sits at the intersection of psychology, executive performance and technological change.

Connect with Victoria:

- Sign up for SVEA's weekly newsletter at svexecutive.academy

- LinkedIn: linkedin.com/in/victoriamensch

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Episode OverviewJimi Gibson spent 25 years as a professional magician before becoming VP of Brand Communication at Thrive Internet Marketing Agency. In this episode he explains why that pivot makes more sense than it sounds: the structure of a magic trick and the structure of a marketing message activate the same psychology, built on curiosity, anticipation and a satisfying close.

The conversation moves into the heart of Jimi's current work: a study of 400 businesses across five industries and roughly 2,400 prompts put to AI tools, which found that 46% of businessowners were invisible when AI was asked about them. He unpacks why AI favours people over logos, how large language models build their picture of a business (his "pizza dough and toppings" analogy), and the principles behind what he calls Answer Engine Optimisation.

Jimi closes with a practical framework for leaders and business owners who want to start showing up: from cleaning up LinkedIn profiles and Google Business listings, to a five-pointcontent framework built around promise, relationship, passion, defiance and identity, that AI cannot replicate.

Episode Summary

What happens when the smartest people in the room still can’t make a decision?

In this episode of The Digital Diaries, Peter Woods speaks with Rujuta Singh, founder of Solve Together, about the hidden human challenges behind business transformation, AI adoption, and organisational change.

Rujuta shares how her experience leading complex transformations across global organisations led her to question why teams could spend months discussing the same problems without moving forward.

The answer wasn’t better technology. It was better collaboration.

Together, they explore why clarity and alignment are the foundations of successful transformation, why most AI strategies fail because organisations start with tools instead of problems, and how companies can use structured experimentation to move from ideas to working prototypes in weeks rather than months.

From leadership meetings and AI implementation to recruitment technology and the future of work, this conversation examines the gap between what organisations say they want from technology and what they actually need from people.

Key Topics Discussed

• Why smart teams still get stuck

• The hidden cost of unclear goals and misalignment
• Why meetings often create the illusion of progress without decisions
• The difference between having expertise in the room and actually using it

• Why transformation failures are often collaboration failures
• Why diverse perspectives create better solutions — but require structure
• How facilitation helps teams separate ideas from egos

• Moving from discussion-heavy meetings to outcome-driven collaboration
• The “together alone” approach: giving people space to think independently before group discussion
• Why quieter voices often hold the insights organisations need

• Why buying ChatGPT, Copilot, or other AI tools does not equal an AI strategy
• The importance of understanding business problems before selecting technology
• How structured experimentation can help companies test AI solutions safely

• The risks of AI-driven recruitment systems
• Why organisations need AI confidence at leadership level
• How executives can better understand AI capabilities before making investment decisions

The missing ingredient in transformation: humansDesigning better meetingsAI adoption: start with the problem, not the toolThe future of work and AI

Key Takeaways

✅ Transformation succeeds when people have clarity on what they are solving and alignment on why it matters.

✅ The best technology strategy starts with a business problem, not a software purchase.

✅ Meetings should be designed around outcomes, not conversations.

✅ AI adoption requires experimentation, learning, and human validation.

✅ Leaders don’t need to become AI engineers — but they do need enough understanding to make better decisions.

Episode Overview

Partner programmes are the invisible infrastructure behind most enterprise software revenue, yet they rarely get airtime.

In this episode, Pete talks to Joanne John, who spent over nine years at Salesforce moving from incident management through partner operations into transformational change leadership, about what partner success actually means, how AI is reshaping partner programmes without replacing the trust at theircore, and the real mechanics behind a major attrition-risk reduction programme she led.Key Takeaways

• Partner success is ultimately measured by customeroutcomes, not just deal size; a poorly fitted solution damages trust even whenthe deal closes.

• According to Joanne, roughly 70 to 80% ofpartner-related escalations at Salesforce traced back to communicationbreakdown rather than product or delivery failure.

• AI's role in partner programmes is in surfacing betterdata for decisions (referral fee structures, certification value, partner motivations), not in replacing the relationship-building that still drives trust.

• Leading cross-functionally without direct authority depends on transparency and finding a genuine win-win, not positional power.

• One simple structural fix, mandating partner involvement within 24 hours of an escalation, was, according to Joanne, the central driver behind a measured year-over-year improvement in partner-related account risk.

🌐 Connect with Joanne John on LinkedIn

Episode overviewDavid Homan has spent more than a decade building a private community of over two thousand connectors, founders, family offices and impact investors. In this conversation with PeteWoods, he explains why he eventually decided the analogue version of his work needed an AI engine behind it — and how that became SOAR Connect, his relationship intelligence platform currently in beta.

It is a wide-ranging conversation about the things technology has quietly broken about human connection: the way contact data evaporates after every conference, why most introductions are wasted, and why the people who built the social platforms we use every day are themselves the loudest critics of how cold those platforms have become.

David also tells the story of taking the phone call, at 28, that wiped out the fourteen-million-dollar endowment of the foundation he ran at the time — a call from a fund managernamed Bernie Madoff. The fallout from that single moment, and the way most of his network walked away rather than helped, became the real beginning of everything he has built since. There is also a vacuum cleaner, a ballet at the Joffrey, an encounter with Steven Spielberg, and a genuinely useful reframe of the well-worn phrase “give without expectation of return.”

For anyone trying to figure out how to use AI thoughtfully in the parts of work that are most human relationships, trust, asks, follow-up, this episode is worth your time.

Episode OverviewJoshua Gould is Group CEO of thebigword, one of the world's largest language service providers, handling around 50,000 assignments a day across translation, interpreting and localisation. He took the company through a majority private equity sale, stayed on to run it, and has spent the last few years rebuilding the business around AI orchestration, automated workflows and the WordSynk platform.

In this conversation, Josh walks through the journey from a £44-a-week room and a sales job at Coors Brewers to running a tech-enabled language group across more than 80 countries. He's refreshingly blunt on what AI actually does inside a real operation, why "AI strategy" is the wrong starting question, and how the unsexy work of fixing broken processes is what compounds.

If you're a leader being told to "have an AI strategy in 90 days", this one is for you.

Key Learnings

• Why AI is "like taking speed" and what that means for broken processes
• How thebigword drove operations from 20% of revenue down to 9% (and why that doubles profit)
• The questionnaire Josh would send to every department head on day one of an AI mandate
• Why companies that called themselves "internet businesses" all failed, and what that tells us about today's "AI businesses"
• The difference between data-informed and data-driven decisions
• Managed risk over blind gambling: how to size AI bets when token costs are unpredictable
• Why a zip manufacturer is suddenly more attractive to buyers than a flashy tech business

Resources mentioned:

• thebigword: https://www.thebigword.com
• WordSynk platform
• Joshua Gould on LinkedIn