Implementing Technology for Employee Experience

I automated my entire team's workflow—and then THIS happened. Ever wonder what would happen if your team could complete a week's worth of work in a single day? Sounds like a dream, right? Well, that's exactly what we achieved. A few months back, I noticed my team was bogged down with repetitive tasks. Brilliant minds were spending hours on mundane activities. So, I decided to take a bold step. We invested in automating these tasks. The initial push was challenging: - Learning new tools - Changing long-standing processes - Overcoming resistance to change But the payoff was incredible. Results: - Productivity skyrocketed: We accomplished more in less time. - Stress levels dropped: The team felt less overwhelmed. - Innovation flourished: Free time led to creative solutions. - Employee satisfaction increased: Work became more fulfilling. The most surprising outcome? Our team cohesion strengthened. With less time on grunt work, we collaborated more on strategic projects. The takeaway? Automation isn't about replacing people. It's about freeing them to do what they do best. Embrace technology to unlock your team's true potential. Have you implemented automation in your work?

I recently interviewed Lisa Gelobter, founder and CEO of tEQuitable, on the SHRM AI+HI Project podcast. Lisa's insights into designing AI systems with equity at their core are truly transformative for the future of inclusive workplaces. Lisa reveals how organizations can break through systemic biases and create AI that works for everyone through strategic, inclusive design: ▪️ Understanding the critical importance of equity-centered AI development ▪️ Ensuring communities aren't left on the outside of technological advancement ▪️ Implementing fairness and representation principles in AI systems ▪️ Addressing systemic biases to foster truly inclusive workplace cultures As she powerfully states: "It's about thinking expansively, ensuring that communities aren't left on the outside." Follow Lisa. Read everything she publishes. Click the link in the comment section to listen to the podcast episode and discover how to design AI systems that prioritize fairness, inclusivity, and meaningful change for your organization. #AI #InclusiveWorkplace #Equity #Bias #FutureOfWork #AIEthics #Inclusion #WorkplaceCulture

Upscale and Reskill Talent at Manufacturing Sites In today's rapidly evolving manufacturing landscape, companies continuously seek innovative ways to enhance productivity, improve efficiency, and stay ahead of the competition. With the integration of Artificial Intelligence (AI) to upscale and reskill talent at manufacturing sites and leveraging AI-driven solutions, organizations can optimize operations, empower their workforce, and achieve unprecedented success. 1. Identifying Skill Gaps through Data Analysis Machine learning algorithms and predictive analytics can analyze vast data and identify skill gaps within the manufacturing workforce. By examining factors such as employee performance, historical data, and industry trends, organizations can gain invaluable insights into areas where upskilling and reskilling efforts are required. This data-driven approach enables targeted training programs, ensuring employees receive the specific knowledge and skills needed to thrive in their roles. 2. Personalized Learning Paths It is crucial to provide personalized learning paths for each employee. AI-powered platforms can assess individual skill sets, learning preferences, and career aspirations to create tailored training programs. By offering personalized learning experiences, organizations can foster employee engagement and motivation and accelerate their professional growth. 3. Virtual Reality (VR) and Augmented Reality (AR) Training VR and AR technologies are revolutionizing training methodologies in the manufacturing sector. These technologies enable employees to simulate real-world scenarios, practice complex tasks, and develop critical skills in a safe and controlled environment. By leveraging VR and AR training programs, organizations can enhance the learning experience, boost knowledge retention, and improve operational efficiency. 4. AI-Enabled Performance Support AI-driven performance support systems provide real-time guidance and assistance to employees on the manufacturing floor. By utilizing sensors, IoT devices, and AI algorithms, these systems can monitor operations, identify potential bottlenecks, and offer actionable insights to optimize workflow. Furthermore, AI can provide instant feedback and suggestions to enhance employee performance, ensuring high-quality output and reducing errors. 5. Collaborative Robots (Cobots) Collaborative robots, "cobots," are designed to work alongside human workers, complementing their skills and capabilities. Cobots are equipped with AI algorithms that enable them to learn from human operators, adapt to changing production requirements, and perform repetitive or physically demanding tasks. Manufacturers can enhance productivity, improve workplace safety, and free up human resources for more complex and strategic assignments by deploying cobots. Embracing these best-in-class strategies will empower the manufacturing workforce, foster innovation, and pave the way for a successful future.

Many leaders aim to use AI to promote diversity and inclusion, but not all understand how to manage the challenges it brings. And that’s where things can go wrong. Here’s the truth: AI can either be a tool for driving diversity or a source of unintended bias. Without the right approach, you risk: Bias creeping into hiring algorithms Overlooking diverse talent Creating a less inclusive workplace culture But it doesn’t have to be this way. 🔑 Here’s how leaders can leverage AI to drive diversity and inclusion: 1️⃣ Ensure AI Systems are Bias-Free → Regularly audit AI systems to identify and eliminate biases that could affect recruitment, promotions, or workplace culture. 2️⃣ Use AI to Amplify Diverse Talent → AI can help uncover talent from underrepresented groups by focusing on skills and potential rather than traditional backgrounds. 3️⃣ Foster a Culture of Inclusivity with AI → Use AI-driven insights to create policies and initiatives that actively promote inclusion and belonging within your teams. 4️⃣ Invest in Continuous Learning → The landscape is always evolving. Regularly update AI tools and strategies to ensure they reflect the latest in diversity and inclusion best practices. AI can be a game changer for workplace diversity—but only with the right strategy and oversight. 👉 Ready to explore how AI can help you build a more inclusive workforce? Let’s connect and discuss ways to leverage AI responsibly for a more diverse future.

AI isn’t the future, it’s happening now. Here’s how HR teams can harness AI to drive efficiency and elevate employee satisfaction. 1. Let AI Handle Candidate Screening How: AI scans resumes to match candidates with job requirements, automating the initial selection process. Why It Matters: Saves time and reduces unconscious bias, allowing HR to focus on high-value tasks. 2. Get a Heads-Up on Employee Turnover How: AI analyzes engagement metrics and behaviors to flag employees at risk of leaving. Why It Matters: Enables proactive interventions, helping HR retain top talent and maintain team stability. 3. Personalize Learning Paths for Employees How: AI customizes training resources based on roles, career goals, and skills gaps. Why It Matters: Boosts employee engagement by aligning development with individual growth paths. 4. Offer 24/7 Support with HR Chatbots How: AI-powered chatbots provide instant answers to questions about PTO, benefits, and policies. Why It Matters: Enhances the employee experience while freeing up HR for complex issues. 5. Eliminate Bias in Job Descriptions How: AI scans job postings to ensure language is inclusive and unbiased. Why It Matters: Attracts diverse talent and supports your company’s diversity and inclusion goals. 6. Analyze Employee Engagement in Real-Time How: AI runs sentiment analysis on surveys, emails, or internal chat channels to gauge morale. Why It Matters: Offers actionable insights to improve workplace culture and boost retention. 7. Streamline Onboarding Processes How: AI automates paperwork, tracks tasks, and guides new hires through company resources. Why It Matters: Reduces time to productivity and creates a seamless, engaging onboarding experience. 8. Provide Real-Time Performance Feedback How: AI monitors performance metrics and delivers insights for managers and employees. Why It Matters: Encourages continuous growth and keeps goals aligned across teams. 9. Optimize Employee Benefits Offerings How: AI evaluates benefit usage patterns to suggest adjustments that align with employee needs. Why It Matters: Improves satisfaction while ensuring cost-effectiveness for the organization. 10. Simplify Succession Planning How: AI identifies high-potential employees and matches them with future leadership roles. Why It Matters: Maintains a strong talent pipeline and reduces gaps in critical roles. Bottom Line: AI isn’t here to replace HR, it’s here to empower it. From hiring to retention, these tools allow HR professionals to focus on strategy, culture, and the human side of their work. Which AI application would transform your HR function the most? Let’s discuss below! ⬇️ ♻️ Repost to help your network. ➕Follow Ricardo Cuellar for more actionable content like this.

Throwing AI tools at your team without a plan is like giving them a Ferrari without driving lessons. AI only drives impact if your workforce knows how to use it effectively. After: 1-defining objectives 2-assessing readiness 3-piloting use cases with a tiger team Step 4 is about empowering the broader team to leverage AI confidently. Boston Consulting Group (BCG) research and Gilbert’s Behavior Engineering Model show that high-impact AI adoption is 80% about people, 20% about tech. Here’s how to make that happen: 1️⃣ Environmental Supports: Build the Framework for Success -Clear Guidance: Define AI’s role in specific tasks. If a tool like Momentum.io automates data entry, outline how it frees up time for strategic activities. -Accessible Tools: Ensure AI tools are easy to use and well-integrated. For tools like ChatGPT create a prompt library so employees don’t have to start from scratch. -Recognition: Acknowledge team members who make measurable improvements with AI, like reducing response times or boosting engagement. Recognition fuels adoption. 2️⃣ Empower with Tiger Team Champions -Use Tiger/Pilot Team Champions: Leverage your pilot team members as champions who share workflows and real-world results. Their successes give others confidence and practical insights. -Role-Specific Training: Focus on high-impact skills for each role. Sales might use prompts for lead scoring, while support teams focus on customer inquiries. Keep it relevant and simple. -Match Tools to Skill Levels: For non-technical roles, choose tools with low-code interfaces or embedded automation. Keep adoption smooth by aligning with current abilities. 3️⃣ Continuous Feedback and Real-Time Learning -Pilot Insights: Apply findings from the pilot phase to refine processes and address any gaps. Updates based on tiger team feedback benefit the entire workforce. -Knowledge Hub: Create an evolving resource library with top prompts, troubleshooting guides, and FAQs. Let it grow as employees share tips and adjustments. -Peer Learning: Champions from the tiger team can host peer-led sessions to show AI’s real impact, making it more approachable. 4️⃣ Just in Time Enablement -On-Demand Help Channels: Offer immediate support options, like a Slack channel or help desk, to address issues as they arise. -Use AI to enable AI: Create customGPT that are task or job specific to lighten workload or learning brain load. Leverage NotebookLLM. -Troubleshooting Guide: Provide a quick-reference guide for common AI issues, empowering employees to solve small challenges independently. AI’s true power lies in your team’s ability to use it well. Step 4 is about support, practical training, and peer learning led by tiger team champions. By building confidence and competence, you’re creating an AI-enabled workforce ready to drive real impact. Step 5 coming next ;) Ps my next podcast guest, we talk about what happens when AI does a lot of what humans used to do… Stay tuned.

𝗛𝗼𝘄 𝘁𝗼 𝗨𝘀𝗲 𝗠𝗼𝗯𝗶𝗹𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘁𝗼 𝗥𝗲𝗮𝗰𝗵 𝗮 𝗗𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱 𝗪𝗼𝗿𝗸𝗳𝗼𝗿𝗰𝗲 📱 Struggling to keep your remote or field-based employees connected with essential training resources? In today’s dynamic work environment, traditional learning methods often fall short for a distributed workforce. When employees can’t access critical training, it leads to skill gaps and inconsistent performance, ultimately impacting your organization’s success. Here’s how mobile learning can bridge the gap and empower your workforce: 📌 Flexibility and Accessibility Mobile learning allows employees to access training materials anytime, anywhere. Whether they’re in the field, at home, or commuting, your team can engage with content on their own schedule, ensuring no one misses out on important training. 📌 Bite-Sized Learning Modules Break down training into manageable, bite-sized modules that are easy to digest on the go. Microlearning keeps employees engaged and helps them retain information better, as they can learn in short bursts rather than long, uninterrupted sessions. 📌 Interactive and Engaging Content Leverage multimedia elements like videos, quizzes, and interactive simulations to make learning more engaging. Interactive content not only enhances understanding but also keeps employees motivated to complete their training. 📌 Real-Time Updates and Notifications Use push notifications to remind employees of upcoming training sessions or deadlines. Real-time updates ensure that your team is always aware of new content, policy changes, or mandatory compliance training. 📌 Offline Access Ensure your mobile learning platform allows for offline access. Employees can download training materials and complete them without needing a constant internet connection, making it ideal for those in remote locations with limited connectivity. 📌 Analytics and Feedback Implement analytics to track engagement, completion rates, and performance. Use this data to identify areas where employees may need additional support and to continuously improve your training programs. 📌 Personalized Learning Paths Tailor training programs to individual roles and career paths. Personalized learning ensures that employees receive relevant content that directly applies to their job functions, increasing the effectiveness of your training efforts. By implementing mobile learning solutions, you can ensure that your distributed workforce remains connected, skilled, and aligned with your organizational goals. This approach not only fills skill gaps but also promotes a culture of continuous learning and development. Have you successfully implemented mobile learning in your organization? Share your experiences and tips in the comments below! ⬇️ #MobileLearning #RemoteWork #EmployeeTraining #EdTech #LearningAndDevelopment #WorkforceDevelopment #ContinuousLearning

Everyone’s speculating about AI and jobs. That may be the conversation, but here’s the reality: what actually matters right now is how we use AI to support people…not replace them. In the People org at Salesloft, we’re starting with the work that wears people down. Answering the same HR questions. Digging through old survey responses. Manually triaging requests that don’t require human judgment. These tasks may be small, but they add up. We’re using AI to remove that friction: - We analyzed common HR ticket themes and are using them to build an internal knowledge base so employees get instant answers, and our team can focus on work that moves the business forward. - We used AI to parse open-ended feedback in our latest engagement survey so we could surface themes and sentiment faster and act on it. No one’s writing headlines about AI-enabled HR tickets. But this is where real impact starts. When people get their time back, they spend it on better conversations, deeper coaching, and decisions that drive culture forward. If AI isn’t making the employee experience better, it’s missing the point. Would love to hear from others - how are you using AI to make the employee experience better? #AIInHR #PeopleTech #HRTech #EmployeeExperience #FutureOfWork

This is a vulnerable post, so be kind — but this topic feels too important to ignore. The other day, Jennifer Hutchings, asked me about bias in AI. I shared with her this story. Look, I know bias in AI exists, but I’d never felt it as profoundly as when I decided to create AI-generated headshots of myself. After uploading nearly 50 recent, full body photos, I was stunned by the results. The AI-generated images presented a version of my body that felt unrecognizable. Not just noticeably, but drastically slimmer than the pictures I provided. As a female and as a mother to a daughter, this left me very concerned. I started asking myself: Is this what AI “thinks” I should look like? Is this AI’s “standard” of beauty? Is this what AI “thinks” women should look like? Is this the unachievable “Barbie” of the next generation? Sure, we could blame bad technology but that is just masking the real issue: bias tools can and will lead to negative outcomes – much bigger the impacting a person’s self-esteem. I want to be part of the change. Here are a few practical ideas. I would love to hear your ideas as well. - Select AI Partners That Prioritize Diversity and Inclusivity: When choosing AI tools, look for partners who demonstrate a commitment to diversity and ethical practices. Ask about their approach to building inclusive teams, training data, and bias testing. Working with organizations that value transparency and inclusivity. - Ensure Your AI Council Reflects a Range of Experiences and Perspectives: Build a council that goes beyond gender and race diversity to include a mix of experiences, body backgrounds, and viewpoints. A council with varied perspectives is more likely to identify and address hidden biases. - Engage Actively to "Train" AI Models for Diverse Perspectives: When using AI tools, prompt them to provide multiple perspectives, challenge underlying assumptions, and apply varied cultural, social, or contextual lenses. Encourage your team to ask questions that uncover alternative viewpoints and push for more inclusive responses. Ashley Gross Liza Adams Patty Parobek Cathy McPhillips Claire du Preez #AIInnovation #AIforGood #EthicalAI #InclusiveAI #WomeninTech

Most training content is generic: the same videos, the same slides, the same quizzes. An employee sits through a PowerPoint presentation, then takes a basic test... But they don’t help; very few learn effectively that way. Because they don’t create engagement — They just throw information at the worker. You might say, “Our content is informative and detailed.” 💡But that misses the point: You can’t enhance learning without understanding the learner's unique needs. And if effective training is the goal — You need AI to tailor your training sessions. That’s why modern presentation software with AI features is a game changer: 1️⃣ Learner Profiles: AI analyzes communication preferences + learning history. It’s not just about what they learn, but how they learn best. If you understand this, your training will be more effective. 2️⃣ Content Customization: AI suggests the right type of content. Visual learner? More videos and infographics. Narrative learner? Engaging stories and examples. 3️⃣ Optimal Timing: AI determines when learners are most receptive. Maybe after a series of successful sessions, introduce more challenging content. Use gamification to gauge learning intent and adapt accordingly. We take these variables and tailor around your staff’s individual needs. It requires some initial setup, but it beats generic training by a mile. And I get it — traditional methods are familiar (you’ve used them for decades). But the answer is definitely not one-size-fits-all ➡️ it’s customized and adaptive. AI is changing everything — and learning and development isn’t an exception.