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.