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I have long loved the Unhedged podcast with Katie Martin & Robert Armstrong, and even more so when they were talking about the specific topic I wrote about a couple of weeks ago: the Saaspolapsye. AI is a tool to move faster, but not everything buildable is worth building. An odd thing for a CEO of a tech consulting firm to say, but it's true. An insight from my side but nothing in comparison to the podcast itself! https://lnkd.in/dwWb8_zJ

Most conference meetings end with a brochure. At #GlobalABS this year, you'll walk away with a working prototype. Bring us a real business problem. In under 30 minutes, we'll build you a working solution. We're keeping it intimate; book yours directly with Catherine Duggan or Tim Liddle.

Most conference meetings end with a brochure that gets thrown away. Bring us your pet tech project at Global ABS and walk away with a working prototype.

AI is everywhere right now, and there is pressure to implement it. A growing number of organizations are spending significant budget on tools they don't fully understand, solving problems they haven't clearly defined. The social media narrative around AI adoption tends to focus on the wins (the launches, the announcements, the before-and-after stories). What gets less airtime is the cost of poorly scoped implementations, or the possibility that a simpler, cheaper solution would have done the job just as well. For most organizations, the question worth asking before any AI investment is a straightforward one... What inefficiency are we trying to fix, and does this technology address that specifically? Buying into the most advanced tools available is not the same as solving a business problem. And in an environment where AI vendors are very good at selling vision, that distinction matters more. #knowledgesharing #strategicthinking #techconsultancy

Vegas bound! Catherine Duggan is representing StructureIt at #SFVegas2026. Based on conversations with our partners, she’s focused on uncovering how firms are successfully integrating AI as a core business capability. Don't navigate the tech landscape alone. If you’re at the conference, reach out to Cath to sync up. She’s looking to trade insights on what’s working (and what isn’t) in the world of structured finance tech. 🤝 #sfvegas #lasvegas #events

The majority of use cases don't need massive compute. You don't need GPT-4 to extract lease terms. There are simpler, more efficient approaches that work better. Here are three technical realities that might be missing from the conversation at your next strategy session: Your data infrastructure enables AI. Many CRE firms have data quality challenges. Properties tracked in spreadsheets, lease terms in PDFs, and market data across different systems. You can't layer AI on top of inconsistent data and expect reliable results. The foundation needs to be solid first. AI extends beyond chatbots and LLMs. The industry has focused heavily on large language models because they're visible and easy to demonstrate. But there's a broader toolkit available: machine learning for predictive analytics, deep learning for property image analysis, and time series models for market forecasting. These techniques often deliver better results for specific CRE problems than general-purpose LLMs. Start with the outcome, not the technology. Instead of asking "how do we use AI?", consider starting with "what business outcome do we need?" Then select the appropriate tool. Sometimes that's AI, sometimes it's better processes or improved data architecture. AI can drive business value from the small things, like document extraction, to more high-level value adds like identifying investment opportunities. The key is matching the approach to your current capabilities. #DataInfrastructure #AI #TechStrategy #TechConsulting