Nimbl Digital

A Nimbl take on AI and knowledge systems from our Head of Architecture & Engineering, Mike Margerum

Your product team didn’t mean to create friction. But over time, it happens. Assumptions become decisions. Workflows drift from real behavior. What feels obvious internally becomes harder for users to navigate. Friction builds quietly until it shows up in abandonment, support tickets, and missed opportunities. Usability testing helps you catch it earlier. A few sessions with real users can reveal where people get stuck, what’s causing confusion, and which small fixes can make a measurable difference. Read how a focused usability review helps uncover the friction teams stop seeing. 👉 https://zurl.co/ynuGj

Before you standardize on an AI tool, run this test. We kept hearing the same question from product leaders: “Which platform should we standardize on?” So we ran a controlled experiment. Same deliverable. Five platforms. Same prompt: “Draft a strategic proposal for this client engagement.” The output was clean, structured, and completely generic. Then we ran it again with one change: better inputs. Client pain points. Strategic objectives. Prior initiatives. Success metrics. Real constraints. That’s when the work got good. The gap wasn’t the tool. It was the context. At Nimbl, we don’t start with tools. We start with clarity. Define the problem, define what success looks like, then let AI help the team move faster. How are you building that clarity muscle across your product org?

20,000 people won’t change how they work because you emailed them a PDF. We partnered with a $15B consumer health company facing exactly that. Newly independent. Global teams in silos. Fragmented processes. Lots of rework and zero shared way of working. Instead of writing another “manual,” we built a 20-screen interactive prototype that made the new workflow tangible. Roles, steps, decisions, handoffs, and tools. Something employees could actually follow and use. Results: • 64% of content reused instead of recreated • 50+ pain points eliminated • 20,000+ employees adopted the workflow organically People don’t resist change. They resist unclear change and 50-page documents. Want to see what we built and how we drove adoption? Read the full case study 👉 https://zurl.co/59bo9

Building a company is hard. Building a team that stays and grows? Harder. Today we’re celebrating nine work anniversaries at Nimbl. These milestones aren’t just about years on a calendar. They’re about people who keep showing up, leveling up, and shaping what we’re building together. To our nine, thank you for choosing Nimbl and choosing each other. Drop a 🎉 to help us celebrate.

Most teams don’t have bad processes. They just have too many! That’s what we found at a Fortune 500 consumer health company. Claims moved through Legal, Regulatory, and R&D with no shared workflow, unclear ownership, and no single source of truth. 20+ interviews and 300+ data points later, we built a 20-screen interactive prototype for a unified Claims Console and used it to align stakeholders fast. Outcome: a funded product roadmap. Read the Story Here 👉 https://zurl.co/Nmu56

Every company says they're "all in on AI." Most of them are lying. Not intentionally, they just don't know it yet. Three years ago, it was chatbots. Then it was generative AI. Now everyone's rushing toward agentic AI These are systems that don't just answer questions, they take actions, make decisions, and run workflows autonomously. The pace is unprecedented and the graveyard is filling up just as fast. We're seeing why, up close. Agents dropped into broken processes don't fix the process. They automate the dysfunction. The organizations pulling ahead aren't the ones with the most tools. They're the ones who asked a harder question first: What would this business look like if we redesigned it around what AI can actually do? That question changes everything. At Nimbl, that's the conversation we're having with our clients right now. Not "which AI should we buy." But "what are we actually building toward." The battle in AI isn't between OpenAI and Google. It's between companies with a strategy and companies with a subscription. One of those wins. The other burns budget and calls it innovation. Which one are you? If you're working through what an AI strategy actually looks like in practice let's talk.

Valentine's Day at Nimbl: we took our own spin on conversation hearts. Nothing says team chemistry like turning a simple balloon activity into a reflection of how we actually talk to each other every day. What would your team's conversation hearts say? 👇

Tech has felt cold and robotic for way too long. 2026 is the year digital spaces finally feel human again. We’re moving away from boring, one-size-fits-all layouts toward designs that are warm, personal, and actually adapt to how you work. It’s a move from static screens to living experiences. The 6 trends we’re watching are here 👉 https://lnkd.in/egXUTrmm

Turning literacy research into usable tools.   We partnered with AIM Institute for Learning & Research to launch AIM Nexus, a digital literacy resource hub designed to help educators apply reading science in real classrooms.   From instructional videos to beginner guides, Nexus organizes expert knowledge into clear, practical resources that support better literacy outcomes.   Explore how we designed and built it: https://lnkd.in/ee635nK7