Using AI at Work

Clicks don’t always tell the real story. On the podcast Using AI at Work, Jeff Greenfield, CEO of Provalytics, explained why impressions are often the key to understanding marketing impact. Every channel and product has what he calls a “time to conversion.” For example: in the U.S., car buyers are typically in market for nine months before purchasing. Lease companies send letters offering pull-ahead deals, so smart auto marketers begin their campaigns ten months out, long before a single click. Jeff emphasized that impressions today may not turn into clicks until weeks later, sometimes even months. That’s why attribution requires looking beyond campaign click data. At Provalytics, his team uses machine learning and AI to analyze patterns at scale, identifying how impressions lead to downstream results across multiple channels.

Half of marketing spend is wasted, but which half? On Using AI at Work, Jeff Greenfield, CEO of Provalytics, explained how his platform is built to solve that problem. The goal: find the wasted portion of ad spend and show marketers where it should be redirected for better results. As Jeff put it, this means getting more sales than ever before with the same budget. Without this type of analysis, most companies are still guessing which campaigns work and which don’t. For leaders, the message is clear: if your marketing team isn’t paying attention to this, you aren’t running an optimized ad spend environment.

The internet was built on open data. The future of software may be built the same way. On Using AI at Work, Peter Swimm shared why the real advantage won’t come from being the pioneer who launches first, but from being the systems thinker who connects ideas to solve real problems. He sees the “end of apps” ahead: a single conversational tool that integrates with vendors, services, and your own data, which you control and only share when necessary. We cover: • Why open sharing will drive the next wave of innovation • How problem-solving, not tech itself, creates real value • What the post-app, user-owned data future could look like

Remote work made platforms like Teams and Slack indispensable, but most users still don’t know how to unlock their full value. On Using AI at Work, Peter Swimm explained how he sees this play out inside large enterprises. At one healthcare company, executives were requesting custom reports daily, not realizing that the Copilot subscription they were already paying for could do the job with a single prompt. We cover: • Why remote work raised the stakes for collaboration tools • The knowledge gap holding teams back from using them effectively • How AI copilots can eliminate redundant products and simplify workflows The message: having the tools isn’t enough. Knowing how to use them is where the real advantage lies.

Imagine being able to build your own apps as easily as sketching out a playbook. On Using AI at Work, Peter Swimm, founder of Toilville, shared why this shift could be one of the most disruptive changes in software. Instead of relying on one-size-fits-all platforms, AI allows professionals to assemble modular workflows that fit their exact needs. We cover: • Why the future of apps is modular and customizable • How system thinkers can become thought leaders by sharing playbooks • Why modular workflows let teams run multiple projects at once AI is redefining who gets to be a builder, making it possible for anyone to shape the tools they use.

What if the age of apps is ending? Not because we’ll stop using software, but because AI will build exactly what we need, on demand. Peter Swimm, founder of Toilville and former Microsoft Copilot designer, joined us on the Using AI at Work Podcast to explore this radical shift. Instead of bloated apps where we use 10–20% of the features, AI opens the door to “micro-apps”: lightweight, custom tools built instantly around your workflow. No dev team. No clutter. Just precision. Imagine telling your AI: “Build me a hub for my emails, texts, and LinkedIn, just the essentials.” Or: “Add this Excel function, but only when I actually need it.” Apps don’t disappear. They just stop being static. Dynamic, on-demand tools replace one-size-fits-all platforms. The winners in this future? Not coders. Business thinkers. Leaders who know their processes best and can let AI turn that knowledge into tools. Link to the full episode is in the comments.

How lean can a team really be when AI is built into the workflow? On the podcast Using AI at Work, Peter Swimm, founder of Toilville and former Microsoft product designe, shared how conversational AI has transformed the way he operates. With over 25 years in tech, Peter has seen how tools evolve, but this time, he built something different: an AI-first workflow that replaced dozens of SaaS tools with modular, voice-driven systems. The result? A smaller team that delivers more, with less. In the conversation, Peter explained how: • Lean teams can stretch limited hours into greater output • Running a business for a week entirely on AI revealed surprising lessons • A post-SaaS future may prioritize modular, API-driven tools • Small businesses can adopt AI responsibly without losing control of data His perspective shows that AI isn’t just about efficiency. It’s about reshaping business models, making them feel more natural, sustainable, and human at scale. This episode is packed with practical insights for leaders and teams navigating AI adoption today.

AI can push buttons and move emails. But can it bring the human value that makes someone truly indispensable? That’s the question explored on Using AI at Work with Steff Vanhaverbeke, author of Being Replaced. Her book is filled with examples and practical tools to help professionals and teams apply the five human skills that AI cannot automate. We cover: • Practical ways to build and apply uniquely human skills • Why the book is more about people than AI • How individuals can stay valuable in an AI-powered workplace Steff’s message: in a world where AI is everywhere, professionals who actively develop their human skills will stand out.

In tomorrow’s economy, speed won’t matter. Everyone will have the same AI tools. Everyone will move fast. Automation will be universal. So what will make the difference? According to Steff Vanhaverbeke, author of Being Replaced, it will be the people and companies that remain the most human. On Using AI at Work, she explains why emotional intelligence, creativity, and collaboration will define real advantage when speed is no longer scarce. We cover: • Why automation creates sameness, not uniqueness • The human skills AI can’t replace • How leaders can build organizations that thrive in an AI-powered world For professionals and leaders, this is a powerful reminder: the future of work isn’t about who moves fastest, but who stays most human.

Every business will soon use AI. From translation to copywriting, design to automation, the tools are everywhere. They’re powerful, accessible, and in many cases, free. But in a world where AI is everywhere, the question becomes: how will you make a difference? That’s the challenge Steff Vanhaverbeke poses in her book Being Replaced: The Five Human Skills AI Cannot Automate and in her recent conversation on Using AI at Work. We cover: • Why easy access to AI won’t guarantee competitive advantage • The danger of doing exactly what everyone else does with the same tools • How authenticity and originality separate leaders from imitators • The five human skills that technology can’t replicate • What organizations can do now to prepare for an AI-saturated market Steff’s point is clear: technology itself won’t be the differentiator. It’s free, it’s everywhere, and everyone can move fast with it. The true differentiator is how human you remain while using it. For business leaders, executives, and professionals, this conversation is a roadmap to staying valuable in a world where AI is universal.