Knowledge base

As artificial intelligence becomes more integrated into the products we design, it’s reshaping how users interact with technology—and what they’re giving up in return. Interfaces are becoming more conversational, more predictive, and sometimes even emotionally responsive. But with these advancements come important questions about consent, trust, and behavioral influence.

In this session, we explore the intersection of AI and privacy from a UX perspective. What responsibility do designers have when working with generative systems? How do we ensure transparency without compromising usability? And how can we design experiences that respect user agency while still embracing innovation?

This talk is for UX professionals who want to stay thoughtful and proactive in a rapidly evolving digital landscape—one where privacy isn’t just a policy issue, but a design challenge.

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Designers have always been translators—turning complex business needs + user goals into experiences. Now, we're shifting more to translating human intent into AI understanding, and it's truly transforming how we work. In "The art of the prompt," our speaker explores how prompting has evolved into a strategic design competency. You'll discover practical frameworks for using thoughtful prompt design to eliminate organizational friction, accelerate stakeholder alignment, and position your team as strategic drivers. This isn't about tool tutorials—it's about recognizing the organizational opportunities hiding in plain sight and positioning yourself at the forefront of design's AI-native future.
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About our speaker
Christine Sheller has built her career at the intersection of business strategy and human needs, leading brand, product, and design teams that create experiences driving meaningful results while prioritizing people. As the SVP of Research + Design at O3, she partners with enterprise organizations to develop cohesive customer journeys, and over 15+ years has demonstrated her ability to build design teams from the ground up while transforming inefficient processes. Beyond her leadership roles, Christine actively gives back to the design community through teaching and mentoring, and she's particularly excited about how AI is reshaping experience design.

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The world of AI-powered design tools is evolving at lightning speed. New tools emerge, old ones improve, and our workflows shift accordingly.

In this session, Oliver Reyes will break down the latest AI design tools he uses daily, from enhancing creativity to streamlining tedious tasks. He’ll share what each tool does, how it works, and—most importantly—how you can integrate them into your own workflow to boost efficiency and spark inspiration.

Expect a fast-paced, hands-on look at AI’s role in modern design, complete with real-world examples, practical insights, and a few surprises along the way. Whether you’re a designer, creative professional, or just AI-curious, you’ll leave with new tools (and toys) to explore.

Come ready to geek out, ask questions, and maybe even discover your new favorite AI design assistant.

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Great conversational AI doesn’t start with tools — it starts with conversation. This short video talks about why so many chatbots fail.

Read the full article to explore how analog-first methods like intent cards, role-playing, and storyboarding create more natural, human-centered AI experiences that are easier to implement and more enjoyable for users: https://standardbeagle.com/rethinking-conversational-ai-process/

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Enterprise UX has long been plagued by complexity, outdated workflows, and frustrated users. But AI is changing the game, making enterprise systems more intuitive, efficient, and user-friendly. In this episode of the Notebook LLM Podcast, Cindy Brummer explores how product leaders can integrate AI into enterprise UX tools effectively.

In this episode, we cover:
✅ Why AI matters for enterprise UX
✅ How to identify UX pain points AI can solve
✅ Step-by-step guide to AI integration
✅ Real-world examples from Salesforce, LinkedIn, IBM, and more

From automating tedious tasks to enhancing personalization, this episode provides a clear roadmap for leveraging AI in enterprise software.

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Are UX issues holding back your B2B SaaS product? In this episode, we break down 5 essential steps to diagnose and improve your product’s UX strategy—from spotting hidden friction points to building a roadmap for continuous improvement.

Join us as we discuss:
✅ Key UX metrics that reveal problem areas
✅ How to pair qualitative insights with data for better decision-making
✅ Common UX pitfalls in SaaS (and how to fix them!)
✅ Building and prioritizing a UX improvement roadmap
✅ The importance of continuous UX optimization

Featuring insights from Standard Beagle’s expertise, this episode is a must-listen for product leaders, UX strategists, and SaaS teams looking to boost engagement and retention.

🎧 Tune in now and learn how to make UX your competitive advantage!

🔔 Don’t forget to like, subscribe, and share if you found this helpful!

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In this panel, learn the importance of effectively communicate the value of you design decisions to stakeholders, gain buy-in for projects, and ultimately ensure that their designs align with the company's overall business goals by demonstrating how improved user experience translates into tangible benefits like increased sales, customer retention, and cost reduction.

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Using NotebookLM we created this podcast about our article about the best ways to implement AI in SaaS products.

Original post: https://standardbeagle.com/how-to-implement-ai-in-saas-products/

This excerpt from the Standard Beagle Studio website is a comprehensive guide on how to successfully integrate artificial intelligence (AI) into Business-to-Business (B2B) Software as a Service (SaaS) products. The author, Cindy Brummer, uses the analogy of the Tickle Me Elmo toy to illustrate the importance of a well-defined process for AI implementation. The article lays out six crucial steps: defining business goals and user needs, evaluating and preparing data, building and training AI models, prototyping and iterating, implementing AI with transparency and control, and finally, monitoring, optimizing, and scaling the AI integration. Each step emphasizes the importance of research, design, and user feedback throughout the process. The article highlights the need for a collaborative approach involving product managers, data scientists, UX designers, and users to ensure that AI features align with business goals, enhance user experience, and build trust.

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