Insurance Has a Data Integrity Problem. Here’s How to Fix It.
Everyone in insurance loves talking about analytics, AI, and “data-driven decision-making.” But let me ask you something: Can you confidently answer basic questions about your own data? What’s the actual loss ratio for your top 5 lines of business over the past 3 years? How many active policies are missing critical structured data elements? What’s […]
Insurance Isn’t Ready for AI. Here’s Why That Matters.
Every conversation about insurance technology right now seems to lead to AI. Automate underwriting decisions. Personalize customer experiences at scale. Detect fraud before it happens. Use predictive analytics to optimize pricing. The promise is compelling, the use cases are legitimate, and the potential ROI looks significant on paper. But here’s what I keep encountering across […]
Why the Insurance Industry Needs More Than “Digital Transformation”
I’ve spent the last decade watching insurance carriers chase the wrong transformation goals. The pattern is exhaustingly familiar: launch a mobile app, stand up some self-service portals, sprinkle in AI for underwriting decisions, and declare victory as a “modern digital enterprise.” But here’s what I’ve learned from working inside these transformations: cosmetic upgrades don’t fix […]
Microsoft Fabric: 2 Years Later
In November 2023, we published an analysis of Microsoft Fabric as it entered General Availability. We were well-positioned to offer that perspective. A client had trusted us to implement the platform while it was still in Preview, giving our Data Intelligence practice more hands-on experience than most tech consultancies had accumulated at that point. The […]
From Backlog to Business Driver: The PMO Transformation Blueprint
In Atlanta’s insurance and banking sectors, many PMOs are still stuck in tactical mode, managing timelines, collecting updates, and reporting progress. They serve as trackers, not transformers. But as competitive pressures rise and margins shrink, the organizations that will thrive are those reimagining the PMO as a strategic function, not just a reporting line. It’s […]
If You’re Not Ready for AI, It Won’t Save You
There’s a pattern I keep seeing. Executives greenlight AI initiatives to drive insights, automate workflows, and unlock revenue. Meanwhile, their organizations can’t even agree on basic definitions in their own data dictionaries. AI Is an Amplifier, Not a Miracle Worker Here’s what nobody wants to hear: AI doesn’t fix broken foundations. It exposes them at […]
We Bought the AI Hype…And Got Burned
Everybody loves the promise of AI. Automate the grunt work. Kill off human error. Scale without adding headcount. It’s a heck of a sales pitch. We’re not skeptics. We’re all in on what AI can do when it’s done right. So we ran a pilot. The goal? Automatically read our contracts and spit out accurate […]
What Tech Leaders Should Really Be Reviewing At Year End
Year-end reviews are in full swing. Revenue performance. Attrition rates. Margin compression. Utilization metrics. The same dashboards that get presented every December. But here’s what those numbers don’t tell you: whether your organization can actually execute next year’s strategy. You can hit every target and still be building on a crumbling foundation. The question isn’t […]
AI Readiness Isn’t a Tool Problem. It’s a Foundation Problem.
Everyone wants to talk about AI strategy right now. Execs are asking about it in boardrooms, consultants are pitching it in every slide deck, and vendors are slapping it on every product feature, whether it fits or not. Here’s the problem: most of what’s being said misses the point entirely. You don’t get AI value […]
The Six-Month Gut Check: A Better Lens for Evaluating Consulting Partnerships
In large-scale transformation efforts, it’s easy to feel optimistic at the start. Leadership is aligned. The roadmap feels solid. Your partner brings frameworks, expertise, and energy to the table. But as every experienced technology leader knows, transformation is rarely a straight path. Six months in, the variables have changed. Priorities have evolved. Timelines have shifted. […]