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.
Integrating Automation Into Daily Workflows
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Summary
Integrating automation into daily workflows means using technology to handle repetitive tasks, allowing teams to focus more on strategic and creative work. It’s about aligning tools and processes to streamline operations, improve efficiency, and create space for innovation.
- Start with clear objectives: Identify which tasks can benefit from automation and outline how these changes will support your team's goals.
- Choose user-friendly tools: Opt for tools that are intuitive and compatible with your current systems to ensure a smooth transition and encourage adoption.
- Provide ongoing support: Offer accessible resources, peer collaboration opportunities, and real-time troubleshooting to build your team's skills and confidence in using automation.
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Are you grappling with how to integrate #GenAI into your daily work? The AI Integration Framework might just be the keys you need to unlock this new technology. When I developed this framework, my goal was to empower individuals, teams, and organizations to intentionally incorporate AI by starting with their own tasks. Whether you’re an AI novice or a seasoned professional, the AI Integration Framework helps identify the tasks only you can do, the ones AI can handle for you, and - most excitingly - the work where you and AI can collaborate to create exceptional results. Effectively integrating AI into our days means working at higher quality, in less time, with less mental strain, and with more enjoyment. This model helps you spot where and how. In this article, I dive into the three categories of work: 🙋♂️ Human Exclusive Tasks: The uniquely human, high-touch work AI can’t replicate. This is My Work. 🤖 AI Automation Potential: Tasks AI can do independently, freeing you for higher-value work. This is “For Me” Work. 🤝 AI Collaboration Opportunities: The "sweet spot" where AI becomes a true partner, enhancing quality, efficiency, and enjoyment. This is “With Me” Work. The AI Integration Framework is not just about understanding AI; it’s about owning your AI journey. It’s about reshaping the narrative from "What will AI do to me?" to "What will I do with AI?" I’ve included practical steps, reflective questions, and real-world examples to help you start applying this framework today. Whether you’re exploring AI’s role in change management, team leadership, or strategic decision-making, this framework offers a foundation for thoughtful integration. Enjoy! And remember, sharing is caring, especially with articles that help you unlock AI 😉
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Ever feel like your team is stuck in an endless loop of manual data entry? (Automation Tip Tuesday 👇) That’s exactly where one of our clients — an education consulting firm — found themselves. They were juggling a whole tech stack of tools that didn’t “talk” to each other, creating inefficiencies and double work. We started with a look into their sales workflow. 🔹 Sales data lived in HubSpot, but once a deal closed, someone had to manually update Asana to track project progress. 🔹 Internal teams worked from one Asana board, but clients needed visibility into their own project timelines — cue more manual updates. 🔹 With so much repetitive data entry, valuable time was being wasted on low-impact admin work. Here’s what we did: 🔗 HubSpot → Asana automation: We created an integration that auto-generates project tasks in Asana when a deal reaches a certain stage in HubSpot. No more copy-pasting! 📢 Internal and client boards sync: Internal progress updates in Asana now automatically reflect on client-facing Asana projects, reducing the back-and-forth. Less busywork, more productivity. By eliminating duplicate data entry, the team saved 10+ hours per week — time now spent on strategy and client success. When your tools work together, your team can focus on what really matters. Where is your team losing time? Drop a comment below! ⬇️ -- Hi, I’m Nathan Weill, a business process automation expert. ⚡️ These tips I share every Tuesday are drawn from real-world projects we've worked on with our clients at Flow Digital. We help businesses unlock the power of automation with customized solutions so they can run better, faster and smarter — and we can help you too! #automationtiptuesday #automation #workflow #efficiency