Using AI at Work

Automation is revolutionizing how businesses repurpose and scale their content. In the latest episode of the Using AI at Work podcast, Jonathan Mast discusses how businesses can streamline processes by connecting apps, tools, and AI systems. For example, a blog post can automatically be sent to an AI model like ChatGPT to generate social media posts or video scripts, cutting down time and effort. This kind of automation isn’t just possible—it’s becoming essential for efficiency in industries like digital marketing.

ChatGPT has redefined how people view the potential of AI. In the latest episode of the Using AI at Work podcast, Edwin Lisowski discusses how ChatGPT not only showcased the power of AI but also sparked a wave of creativity. While advanced AI capabilities existed before, many struggled to believe in its potential. Now, seeing real-life applications has made businesses and individuals more open to exploring what AI can achieve.

Imagine a company having its own AI system tailored to its unique needs. In the latest episode of the Using AI at Work podcast, the discussion explores the idea of businesses operating their own language models (LLMs) powered by broader AI systems but heavily weighted toward their internal data. This approach enables AI agents to deliver insights and solutions specifically aligned with the company’s operations, rather than relying solely on massive external datasets. By structuring all internal data into a knowledge graph, companies can unlock even more precise and relevant AI-driven outcomes.

Some companies seek outside guidance to avoid common AI adoption pitfalls. In the latest episode of the Using AI at Work podcast, Edwin Lisowski shares how organizations often bring in external advisors early in their AI journey. By learning from the mistakes of others, businesses can take a smoother, faster, and more effective path to implementation—ensuring they start strong and avoid unnecessary setbacks.

Not every business knows exactly how to leverage AI when they start. In the latest episode of the Using AI at Work podcast, Edwin Lisowski explains that some clients come in with clear ideas of how they want to use AI, while others need guidance to identify where it fits best. It often depends on the maturity level of the specific department or business unit reaching out. Whether they’re ready to dive in or need help uncovering opportunities, the approach is tailored to meet them where they are.

Start small, but think big when it comes to adopting AI. In the latest episode of the Using AI at Work podcast, Edwin Lisowski shares why businesses should begin with simple workflows or procedures to implement AI, rather than diving into large-scale initiatives right away. This approach allows teams to adjust, build confidence, and ensure the organization’s talent pool is prepared for broader AI adoption. A clear, scalable vision for the future keeps the strategy aligned with long-term goals.

Generative AI feels like holding a lottery ticket—it’s a space primed for big opportunities. On a recent episode of the Using AI at Work podcast, Karl Yeh and me share our perspective on how those skilled in generative AI have the chance to make significant impact by bringing knowledge and implementation to companies. However, many of these experts naturally gravitate toward consulting, leaving untapped potential for innovative applications within organizations.

AI relies on high-quality data to deliver accurate responses—garbage in, garbage out. In the latest episode of the Using AI at Work podcast, Jimmy Vaughan highlights the importance of feeding AI the right data for effective decision-making. Without good data, the results can be unreliable, impacting outcomes. Organizations must carefully consider where their data is going and ensure it's accessible for AI systems, whether they're all-in on a single platform like Microsoft or leveraging multiple tools.

AI is raising the bar for workplace communication with tailored, spot-on responses. In the latest episode of the Using AI at Work podcast, Jimmy Vaughan shares how feeding questions into a custom-built AI copilot produced perfectly worded responses. These answers were crafted in the exact tone, style, and language expected by leadership—complete with industry-specific acronyms. The result? Professional, polished responses that align seamlessly with company standards, saving time and boosting productivity.

Navigating the workplace shouldn’t feel like a mystery—especially for those who’ve never stepped into an office. In the latest episode of the Using AI at Work podcast, Jimmy Vaughan highlights how AI is transforming employee onboarding and workplace management. Imagine a mobile app connected to your HR SharePoint site that answers practical questions like “How do I book a conference room?” or “Where do I sit?” Instead of relying on meetings or forgotten instructions, employees can access everything they need on demand. AI agents are even being developed for Teams rooms, allowing managers to efficiently query and manage shared spaces.