One reason AI initiatives stall? Few execs use AI in their own work. In 3 hours, I take leaders from “I don’t know” to a POV (co-developed with AI!) on how AI can support key strategic initiatives. To crack the code on exec adoption we: >> Focus on Strategic Use Cases that Click with Execs << To get experience with high value use of AI, we dive into cases that directly enhance executive decision-making and strategic thinking. This tends to be a major eye-opener—most leaders don't realize AI can elevate their highest-level work. Once executives experience immediate personal value, they better understand how AI can have immediate impact across the organization. >> Reframe Mental Models << Generative AI operates fundamentally differently from anything we've seen before, so we need to identify why and how digital change playbooks must shift to leverage this moment. I go straight to the heart of the silent organizational barriers that prevent productive adoption, and how to navigate a path forward. >> Start with the Business, Not the Tech << We don’t begin with AI—we begin with your business. We anchor the process with the breakthroughs that will drive real impact—and to get there, we go analog with brainstorming, whiteboards, and post-its, working to envision what advancement could look like. What could be possible if cognitive limits were lifted? What long-standing friction could finally be overcome? This surfaces a library of meaningful, business-driven opportunities. Then, using proven filters and frameworks, we zero in on the highest-impact places to start applying AI. >> Use AI to Develop AI Strategy << We then—on the spot—collaborate with AI to develop executive viewpoints on how AI can accelerate those strategic priorities. This is hands-on work with AI tools to co-create a path forward, often culminating in each group sharing a lightning talk (co-developed with AI) with the broader team. This approach fast tracks execs to: 1️⃣ Build readiness: Gain deep understanding of the new landscape of use cases today’s AI offers, and the organizational structures needed to effectively harness it. 2️⃣ Map use cases: Develop a prioritized library of strategic use cases ready for immediate collaboration with technology and data teams. 3️⃣ Accelerate alignment: Establish common language and jump-start cross-functional alignment on tackling high-impact opportunities. 4️⃣ Hands-on understanding: Acquire hands-on experience with AI tools they can immediately apply to their most challenging strategic work. What do my clients say about this approach? That their teams shift from skepticism to enthusiasm—hungry for more, and from uncertainty to clarity about the next steps. It’s a remarkable change, especially in a few hours. ➡️ Want to learn more? Let’s talk. #AIworkshop
How to Integrate AI Into Executive Workflows
Explore top LinkedIn content from expert professionals.
Summary
Integrating AI into executive workflows involves using artificial intelligence to improve decision-making, productivity, and strategic planning at the leadership level. This requires a shift in mindset, starting with identifying business needs and exploring how AI can address them.
- Focus on strategic priorities: Begin by identifying key business challenges and opportunities where AI can create value, and use this insight to guide your adoption strategy.
- Start with small-scale pilots: Test AI tools within a specific team or department to document successes and lessons before scaling across the organization.
- Embrace hands-on collaboration: Work directly with AI tools to co-create strategies, streamline routine tasks, and enhance decision-making capabilities.
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I've received a few questions on this, so thought I'd share 5 ways I'm using AI in my day-to-day at work to boost productivity, insight, and strategic clarity: Benchmarking: I use AI daily to quickly validate metrics and performance benchmarks. For instance, when reviewing email open rates, I ask ChatGPT (and other LLMs) for industry benchmarks segmented by email types, industries and content. This provides immediate clarity on performance against the rest, and I can see if we're good, great, or have work to do. This information was hard to find or non-existent before and instantly helps builld context. Thought Partner: LLMs elevate my strategic thinking. Whether analyzing competitors or drafting new strategies, I leverage AI to rapidly identify gaps, assess my thoughts against frameworks like "Seven Powers," and run game theory on them with competitive response and market players. It uplevels my thinking and leads to more comprhensive considerations. Deepening Customer Insights: By processing sales call transcripts and meeting notes through AI, I can surface customer pain points and uncover new insights, which improves my understanding of customer needs, sales blockers and messaging that otherwise would be hard to come by. Writing Partner: I use AI to power my writing process—from refining documents to constructing logical, concise, and compelling arguments. It helps draft outlines, provides examples and proof-points to reinforce my assertions, and streamlines my writing. All-in it makes my writing better and faster. Automating Daily Tasks: I use AI-powered tools daily to track competitors, monitor market trends, and check-in on things I care about. It never stops working and so I always have this information available as needed. Today, AI is integral to about half of my workday. And this is just the beginning—there's even more potential to unlock with automations such as reviewing and drafting replies for my emails, prioritizing which documents to review next, and automated meeting prep. How are you integrating AI into your workflow? I'd love to hear what's worked for you.
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Every leader I speak with is asking the same question: “𝘏𝘰𝘸 𝘥𝘰 𝘐 𝘪𝘯𝘵𝘳𝘰𝘥𝘶𝘤𝘦 𝘈𝘐 𝘪𝘯𝘵𝘰 𝘮𝘺 𝘵𝘦𝘢𝘮 𝘸𝘪𝘵𝘩𝘰𝘶𝘵 𝘭𝘰𝘴𝘪𝘯𝘨 𝘵𝘳𝘶𝘴𝘵, 𝘤𝘰𝘯𝘵𝘳𝘰𝘭, 𝘰𝘳 𝘲𝘶𝘢𝘭𝘪𝘵𝘺?” The common mistake is treating AI as a tool instead of a workflow shift. Here are 𝟓 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐞𝐬 𝐭𝐨 𝐛𝐨𝐨𝐬𝐭 𝐰𝐨𝐫𝐤𝐟𝐨𝐫𝐜𝐞 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐯𝐢𝐭𝐲 𝐰𝐢𝐭𝐡 𝐀𝐈 without overwhelming your people: 1️⃣ 𝗦𝘁𝗮𝗿𝘁 𝗦𝗺𝗮𝗹𝗹: 𝗜𝗱𝗲𝗻𝘁𝗶𝗳𝘆 “𝟱-𝗠𝗶𝗻𝘂𝘁𝗲 𝗧𝗮𝘀𝗸𝘀” Every employee has 5–10 repetitive tasks that eat hours per week. 𝘌𝘹𝘢𝘮𝘱𝘭𝘦: drafting follow-up emails, summarizing meeting notes, creating reports. Map these first. Automate the grunt work before the strategic work. 2️⃣ 𝗖𝗿𝗲𝗮𝘁𝗲 𝗧𝗲𝗮𝗺-𝗟𝗲𝘃𝗲𝗹 𝗔𝗜 𝗣𝗶𝗹𝗼𝘁𝘀 Don’t force company-wide adoption on Day 1. Instead, launch 1 pilot team per department (sales, ops, HR). Document wins and failures → scale what works. 3️⃣ 𝗣𝗮𝗶𝗿 𝗛𝘂𝗺𝗮𝗻𝘀 + 𝗔𝗜 (𝗻𝗼𝘁 𝗛𝘂𝗺𝗮𝗻𝘀 𝘃𝘀. 𝗔𝗜) Best practice: AI drafts, humans refine. Teach your team the “80/20” rule → AI produces 80%, humans polish the critical 20%. Builds speed and confidence. 4️⃣ 𝗠𝗲𝗮𝘀𝘂𝗿𝗲 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝘃𝗶𝘁𝘆 AI success ≠ “we’re using ChatGPT.” AI success = measurable savings in time, errors reduced, decisions improved. Ask: “What % of work is now AI-assisted vs. manual?” 5️⃣ 𝗜𝗻𝘃𝗲𝘀𝘁 𝗶𝗻 𝗔𝗜 𝗟𝗶𝘁𝗲𝗿𝗮𝗰𝘆 Tools will change. What won’t change? Your team’s ability to think with AI. Leaders who train people in prompting, critical evaluation, and creative use cases are building future-proof capacity. This shift with AI upgrades your team’s daily habits so they operate at a higher strategic level. Companies that adopt this mindset will: ✔️ Deliver faster than competitors. ✔️ Free up bandwidth for growth and innovation. ✔️ Retain top talent who want to work in future-ready organizations. 👉 If you’re trying to figure out how to introduce AI in a way that sticks, creates wins fast, and builds adoption instead of fear, that’s where I help leaders design real AI workflows that actually save time and money. www.biginnovates.com ♻️ Share this so more leaders can unlock AI’s strategic edge 🔔 Turn on notifications to stay ahead with daily insights 🤓 Follow Jeff Eyet 🔑✨ for practical strategies on AI and business growth