Unframe

Enterprise AI strategies tend to stall before they turn into results. Get inside the real AI transformation at Cushman & Wakefield for Commercial Observer's Spotlight Case Study series, presented in partnership with Unframe. This is a candid fireside chat with Collin Campbell, CIO at Cushman & Wakefield and Chris Slovak, Global Field CTO at Unframe about three of the most debated topics in the industry right now: build v. buy v. building together, tokenmaxxing, and the future of SaaS. 📅 October 8 | 11:00 AM ET / 8:00 AM PT 📍 Zoom Webinar Register at the link in comments.

Meet the Unframe Sales Team. They came for the product, the founders, and the chance to do something that matters. They stayed for the pace, the people, a culture where everyone genuinely cares, and a CEO who rolls up his sleeves when it counts. "This is the future. That's where I want to be." We feel the same way. #LifeAtUnframe #Hiring

Audits run on evidence. A policy is a good starting point, but examiners expect considerably more behind it. Examiners demand more than an audit trail. They need a record that reconstructs a single decision from months ago, down to the data, model version, and configuration in force at that moment. Most deployments aren't close. 78% couldn't confidently pass an independent AI governance audit within 90 days, according to research by Grant Thornton. Among companies still piloting, only 7% were very confident. Auditability belongs in the architecture from day one. Decision records have to be captured at the moment they happen, because that moment doesn't repeat. See the 5 questions examiners ask every time + 6 artifacts that answer each one. Link in the comments.

Meet Marie Asgharnia 👋 Marie is one of our Field Marketing Managers, based in Northern California, USA. She joined Unframe because AI is where the future is being built, and she wanted to be part of building it. Part of a team doing something meaningful in the enterprise space. Marie found exactly that. When she's not in field marketing mode, the outdoors is home base. Snowboarding, hiking, biking, wakeboarding, and spending quality time with family and friends. Her take on great field marketing: not the events themselves, but the reasons you give people to connect. We're lucky to have her with us. #LifeAtUnframe #MeetTheUnframeTeam

Scaling AI across your org shouldn't multiply problems. It should multiply efficiency. There's more than you think to total cost of ownership (TCO) for your enterprise AI program. Read the full breakdown, link in the comments.

Every enterprise AI program that stalls has the same conversation about six weeks in (or maybe its the first assumption). Someone from the data team says, with total sincerity: "but it's all in the warehouse." And they're right. It’s all in the warehouse. That's precisely the problem. Gartner estimates 70-90% of organizational data as unstructured. The warehouse was built for the other 10-30%. The contracts, the call transcripts, the emails where the actual decision got made…none of that’s in there. The tribal knowledge. The corporate process. What’s daunting is that for enterprise AI, unstructured material isn't supporting evidence. It's the substance. It's where the reasoning lives. What actually closes the gap is a context layer: a system that sits above the warehouse, the document stores, and the operational systems, to maintain the relationships, permissions, and provenance those systems individually discard. It doesn't replace the warehouse. The warehouse keeps doing its job > its the record of what happened. The context layer does the job nobody assigned to anything > helps make the decisions on what to do next. Here’s my take on where the vulnerabilities are and what to do about them →  https://lnkd.in/gdK75eRe

Meet Barrett (Baz) Wagle 👋 Baz is one of our Regional GMs, based in New Jersey, USA. Born and raised in Jersey, he started his career on Wall Street, spent a decade in New York City, and came back home knowing exactly what he was looking for. A place at the seam of innovation and real impact. At Unframe, customer outcomes come first and the technology exists to serve them. For Baz, that clarity was the signal he needed. Outside work, he's a homebody by choice and a skier by passion. His days are built around Mary, his rescue dog and unofficial 6am alarm, the gym, a PC he built himself, and ski trips that go all the way. Zermatt, Whistler, Colorado. Japan and South America are next. He also has a genuine passion for financial markets and has spent more hours than he'll admit studying history's greatest disasters. Mary, by the way, was returned to the rescue by a famous celebrity couple. She found her person. So did we. We're thrilled to have him on the team. #LifeAtUnframe #MeetTheUnframeTeam

Before joining Unframe, I spent years building an AI memory company. One thing kept surfacing: engineers want to treat memory as a retrieval problem. Better embeddings, tighter vector search, bigger context windows. But that framing solves the wrong thing, regardless of more capable models. What gets "remembered" institutionally is shaped by who wrote things down, which systems got funded, and whose version of events became official. When you ground an AI on enterprise data, you hand it the residue of those dynamics …including contradictions and lots of temporal data. Unlike a human who hesitates when something feels off, the model answers confidently based on its given context. So what can you do about this? Here’s my analysis. Let me know your thoughts →  https://lnkd.in/gsJ-zhb4

*** ENG: For Nutrisens, patient care depends on getting product type, texture, and format right. It's about much more than operations. There's no room for error. Nutrisens is Europe's leading provider of specialized nutrition for patients managing malnutrition and dysphagia. Before Unframe, its 600 daily B2B orders arrived by email from hospitals, pharmacies, and healthcare facilities across Europe, each using its own codes, abbreviations, and formats. Every one had to be manually re-entered into the ERP. Together with CFO Philippe Magnenet, Unframe built an AI system that extracts, validates, and routes every order automatically, connected right into Nutrisens' existing ERP. Nutrisens' team has moved from typing orders to verifying them and building customer relationships. As Philippe puts it: this is just the start. Read the full story in the comments. FR: Pour Nutrisens, apporter la solution nutritionnelle adaptée à chaque patient est la première priorité. Cela repose sur le choix du bon produit, de la bonne texture et du bon format, ça va bien au-delà des simples aspects opérationnels. Il n’y a pas de place pour l’erreur. Nutrisens est le premier fournisseur européen de nutrition spécialisée pour les patients souffrant de malnutrition et de dysphagie. Avant Unframe, ses 600 commandes B2B quotidiennes arrivaient par e-mail depuis des hôpitaux, des pharmacies et des établissements de santé à travers l’Europe, chacun utilisant ses propres codes, abréviations et formats. Chacune devait être saisie manuellement dans leur ERP. En collaboration avec le directeur financier Philippe Magnenet, Unframe a mis au point un système d’IA qui extrait, valide et achemine automatiquement chaque commande, directement relié à l’ERP existant de Nutrisens. L’équipe de Nutrisens est désormais passée de la saisie des commandes à leur vérification et au développement de la relation client. Comme le dit Philippe Magnenet « Ce n’est que le début. » Découvrez l’histoire complète dans les commentaires.

The average enterprise employee spends 20% of their workweek searching for information. That's a full workday hunting through systems for answers that should take seconds. AI-driven enterprise search closes that gap. With context-rich results specific to your business. See the 8 ways AI enterprise search changes the game. Link in comments.