Modus Create

AI can trigger actions at speed and scale. The question is: who’s overseeing it? 👀 Our latest research shows what leaders are up against. 76% of organizations say their AI initiatives were slowed by regulatory or ethical issues. As our VP Greg Sterndale explains in this clip, oversight isn’t something you bolt on later. Before rolling AI out, leaders should be clear about: ☑️ Who has access to the data? ☑️ Where does human review happen? ☑️ How are exceptions handled? ☑️ How will AI decisions be monitored over time? The companies succeeding with AI build guardrails from the start. 🛡️ For more insights, check out the full research report 👇 https://hubs.ly/Q04637tG0 #AI #AIGovernance #RiskManagement #ProductDevelopment

Celebrating 115 years of International Women’s Day! 🎉 Here’s to the incredible women around the world who inspire us every day through their leadership. Extra appreciation for the Modites who are shaping what’s next for our teams, clients, and communities. 💜🌍 #IWD2026 #GiveToGain

Modernization is no longer optional. It’s overdue. 💡 In our latest research report surveying 550 product and technology leaders, one stat stands out: 📚 95% of leaders now plan to modernize legacy systems. AI is forcing organizations to confront legacy infrastructure with renewed urgency. For many, that starts with moving existing applications to the cloud. Cloud migration is often the first step, but getting real value from AI requires treating modernization as ongoing work, not a one-and-done project. Read more insights from our research report 👇 https://lnkd.in/ew-h4cCW #Modernization #Cloud #AI

Heading to #Team26 in May? Don’t just attend sessions. Walk away with a modernization plan. The organizations getting the most from Atlassian right now aren’t just migrating. They’re rethinking workflows, integrating core systems, and aligning execution to strategy. That’s the conversation we're having. Join us in Anaheim and save 20% on registration 👇 https://mdus.co/3MKcz46 #ModernWork #Atlassian #ModusCreate

🚦 Governance is slowing AI rollouts: 76% of organizations say AI enablement is stymied by regulatory or ethical issues. That is one of the key findings from our latest research, based on a survey of 550 product and technology leaders. Most companies have basic monitoring. Far fewer have built the policies and oversight needed to deploy AI safely and confidently. 🛡️ How do you put the right guardrails in place so you can scale without increasing risk? We break down what leading companies are doing differently. Download the report 👇 https://hubs.ly/Q0454hF30 #ProductLeadership #AIGovernance #RiskManagement

AI investment is everywhere. Results are harder to come by. 📹 In this short video, Sharon Lynch, Jon Allegre, and Kevin McClelland break down findings from our latest research report on AI in product development, based on insights from 550 product and technology leaders. One takeaway stands out: 56% of executives say AI is fully integrated across the product lifecycle, while only 18% of managers agree. 💡 As Sharon puts it, "That's not just a difference in opinion. It points to a disconnect between how leadership sees AI adoption and what's actually happening on the ground." The risk? Executives set ambitious AI goals before the organization has the fundamentals to deliver. Our research shows what separates teams that scale AI successfully from those that stall. Get the full report 👇 https://hubs.ly/Q044_H5P0 #AI #ProductDevelopment #Modernization

Trust takes years to build and seconds to erode. When a critical platform starts slowing down, the risk affects customer confidence, operational stability, and future growth. A leading cybersecurity company responsible for securing over 60 million digital identities began seeing the warning signs: performance issues, rising complexity, and growing concerns about scalability. 🛡️ Rather than wait for problems to compound, leadership chose to modernize early. The platform was rebuilt and rolled out in phases, improving performance and making it easier to maintain and scale. The results: ✔️ 50% faster page load times ✔️ 0 downtime during migration ✔️ A stronger, more scalable foundation ✔️ Reduced long-term operational risk Read the full story 👇 https://hubs.ly/Q044FQFK0 #Leadership #Modernization #Cybersecurity

84% of companies claim AI integration, yet only 28% use AI for prototyping and 38% for coding. That’s what we found after surveying 550 product leaders about AI’s impact on product development. 👀 💡 The takeaway? There’s a gap between saying AI is integrated and actually embedding it in day-to-day work. Here are a few more findings: ☑️ 90% say pressure to prove ROI has intensified ☑️ 76% say AI enablement has been slowed by regulatory or ethical challenges ☑️ 91% have restructured their product functions, with the majority re-skilling developers and hiring ML engineers or data scientists This reinforces what many product leaders are already experiencing: intensifying ROI pressure, execution gaps, growing governance demands, and a fundamental reshaping of product teams. Read a summary of our new research report to see what separates teams that scale AI successfully from those that stall 👇 https://lnkd.in/e7S2T-VX #AI #ProductDevelopment #Modernization

In life sciences, AI stalls when organizations aren’t built to scale in regulated environments. ⚕️ Before you invest further, ask the hard questions: ✅ Is your data truly ready? ✅ Who in the business owns the outcome? ✅ Are compliance expectations (FDA/EMA) built in from day one? ✅ Is there a real path beyond the pilot to production and value? We outline what needs to be in place to scale confidently, and how to prove ROI without increasing regulatory risk. Check it out 👇 https://hubs.ly/Q044gWVd0 #LifeSciences #AI

AI is a priority for many leadership teams. But scaling it is proving harder than launching it. 📈 Early pilots show value, then progress slows. Why? As our CEO Sharon Lynch explains in her latest article, legacy systems can’t keep up. Data is fragmented. Security and compliance weren't integrated from the start. The result? Strong ambition, limited impact. Over time, stalled progress doesn’t just delay outcomes. It erodes confidence across the organization. Closing that gap starts with modernization. Not as a side project, but as a business priority. The right foundation makes AI faster to deploy, easier to govern, and more likely to deliver measurable results. 🔎 Sharon explains why infrastructure is often the real constraint and what modernizing with purpose looks like. Check it out 👇 https://hubs.ly/Q043Nzql0 #AI #Modernization #BusinessStrategy #Leadership