Closing the books in a maritime business means pulling data from vessels, entities, and systems that don't agree with each other. Konstantinos Xanthopoulidis, Accounts & Finance Manager at Alassia NewShips Management Inc., used Stevie to compress his two-week reporting cycle into 3-4 days. "I came in sceptical, but a quarterly financial report that would normally take me two weeks came together in 3-4 days. Now I reach for Stevie whenever a complex project comes up." Stevie takes on the operational load so finance teams don't have to. Faster close, cleaner consolidation, time back for analysis. #MaritimeTech #EnterpriseAI #ManagementReporting

Alex Albertini, CEO of Marfin, gave Complexio full access to the operations of his multigenerational shipping company. The initial assessment surfaced ~200 automation opportunities across 9 operational domains, with 30 ready for immediate deployment. Since then, invoices have been processed autonomously. Daily vessel reports, duplicate detection, and payment confirmations have followed. In this episode, Danny Lange reflects on what enterprise AI looks like once a real operation depends on it. Thanks to Alex and the Marfin team for sharing how they're putting AI to work. #EnterpriseAI #IntelligentAutomation

Resilience in the face of disruption is the theme of this year's @TradeWindsNews Shipowners Forum at @posidoniaevents 2026, capturing where the industry sits as geopolitics, sanctions and tightening regulation redraw the operating environment. That disruption lands first in operations, where the information behind every strategic decision sits scattered across chartering, ops, finance and compliance systems, often taking days to pull together. Complexio is the intelligence layer for enterprise operations. It connects across the systems already in place and turns that understanding into the decisions and actions that keep shipping moving. We're proud to sponsor the Forum. Co-CEOs David Ehrlich and Matthew Talbot (@talbot_mcj), alongside Senior Commercial Director Panos Dragounis, will be in Athens for the full week of Posidonia. If operational intelligence is on your agenda, let's talk. #Posidonia2026 #TradeWindsShipownersForum #Maritime #Shipping

"Capturing the tacit knowledge that experienced people apply every day." — Giovannini, Chairman, TST Group · Inside Marine 40 years in dry bulk. One sentence on where enterprise AI is actually going. Full feature: eu1.hubs.ly/H0tZzrD0

Complexio is sponsoring Geneva Dry this year, and we'll be there in person tomorrow. If you're attending, come have a chat with Matthew Talbot, Mark Robertshaw and Panos Dragounis - we'd love to hear how you're thinking about AI inside your business. See you in Geneva. #GenevaDry #DryBulk #ShippingAI

"Intelligent automation" has meant faster execution for most of the last decade - that era is ending. The context that turns automation into judgment, validation, and act on - and how well it understands each action before it takes it. In this episode, Danny Lange, President of Complexio, walks through the architecture behind that shift: systems built on a living understanding of how an organisation actually operates. This is the generation of AI built for operations where the answer has to be right, not just fast. #EnterpriseAI #AgenticAI #AIStrategy #Complexio

There is a version of enterprise AI that grows more capable as your operations grow more complex. Complexio ingests your operations, understands how work actually happens, and continuously designs its own automations - before anyone asks it to. Automation repeats the past. Intelligence learns for the future. #EnterpriseAI #Complexio #IntelligentAutomation

There is a cost sitting inside most enterprise automation that doesn't show up in any audit. It is the invisible tax on every organisation where the exceptions keep finding the same people. The system runs well. The rules hold. Until something requires interpretation, a judgment call, a decision shaped by context the system was never given. And then it stops. And a person picks it up. That person is rarely junior. Their attention is rarely cheap. And the gap that sent the exception to them remains exactly where it was. The organisations closing this gap are not automating faster. They are automating with more understanding - systems that carry the relationships, the history, the context that governs how decisions actually get made inside a specific enterprise. When automation has access to that, exceptions stop travelling as far. Leadership attention stops being the workaround. And the people at the top are finally free to do what only they can. #EnterpriseAI #AIStrategy #OperationalExcellence

Your AI has processed every document your organisation has ever produced. But has it actually understood any of it? Retrieval and understanding are not the same thing. Most enterprise AI is brilliant at finding information. What it struggles with is the stuff that was never written down - the reasoning behind decisions, the context behind relationships, the organisational patterns that experienced teams just know. That's the gap Stevie was built to close. Not just an AI that searches. One that understands how your organisation actually works. #EnterpriseAI #BusinessAutomation #AIForBusiness

An AI can't go to jail, nor can it stand before a board to explain its reasoning. This creates a real ceiling for adoption. The system can do the work, but it can't carry the consequences. So companies keep AI in low-stakes corners, where the risk of being unable to explain a decision stays manageable. Moving AI into the core of your operations requires something most platforms don't offer: a clear line of sight from every action back to the data that drove it. That's what Danny Lange gets into, and the thinking behind why Complexio is built the way it is. #EnterpriseAI #Complexio #OperationalAI

Dry bulk shipping is navigating one of its most complex periods in decades. Geneva Dry, April 28–29, is where the industry faces it head on. We're proud to be sponsoring this year's event - and we'll be there for the conversations that matter. If you're attending and want to talk about what AI actually looks like inside a shipping operation, come find us. #GenevaDry #DryBulk #Maritime #Complexio

Every operation generates a continuous record of itself - equipment behaviour, process timing, exception patterns, the rhythm of how work actually moves through a business day, and the majority of organisations are capturing it as measurement rather than reading it as memory. Monitoring tells you when something crosses a threshold. Intelligence tells you what that crossing means in the specific context of your operation - what preceded it, what followed last time, and whether the pattern is accelerating or resolving. Those are different classes of information, and they lead to fundamentally different decisions. The industrial AI platforms converging on this are treating time series data as event streams rather than data points. The automated discovery of what constitutes a meaningful event, without having to define it in advance. An alert you configured tells you what you already expected to look for. A pattern your system discovered tells you something your operation knows that you didn't. That distinction is what Stevie is built on. Rather than surfacing alerts, it reads the operational record of a business - drawn from its own data, grounded in how that organisation actually runs - and surfaces what deserves leadership attention each day. Leaders can query it, ask follow-up questions, and go as deep as the situation requires. Not a dashboard. A conversation with your operation's memory. That self-knowledge compounds the longer it runs, it's an advantage that widens quietly. #EnterpriseAI #OperationalIntelligence #Complexio

The speed of your enterprise is dictated by how fast you can find the answers. The traditional corporate workflow runs on a severe time-lag: a critical question arises on Thursday, systems are queried on Friday, and a stale answer finally arrives on Monday. When you introduce true Enterprise Intelligence, that friction disappears entirely. In this video, Danny Lange explores the immediate operational shifts that occur when an AI system actually understands the context of your business. The technology instantly closes the gap between a complex question and a verified answer. Furthermore, it surfaces the blind spots you didn't even know you had, and permanently changes how your top talent spends their day. Watch to see what happens when your operations teams can converse directly with your company’s collective knowledge. #Complexio #EnterpriseAI #OperationalExcellence #FutureOfWork #Automation

Most companies are sitting on years of intelligence they've never actually used. Client histories, commercial decisions, operational patterns. All of it captured somewhere - across CRM records, shared drives, email threads. And almost all of it invisible, because no one thought to ask the right question at the right moment. That's a structural one - the knowledge exists. It just doesn't surface unless someone goes looking for it. And in fast-moving operations, nobody has time to go looking. Now think about what changes when that dynamic flips. Stevie surfaces daily updates from the operational data already sitting across your business, so key changes, patterns, and signals are easier to see. But surfacing insights is only part of it. Stevie also generates the outputs your teams actually work with: structured reports, live dashboards, spreadsheets, compliance documents, and briefings, all drawn directly from your operational data. A crisis briefing pulling together exposure and risk signals across regions. A compliance report built from live business data. A recoverable cash analysis assembled from fragmented financial records. A performance dashboard showing exactly where teams are ahead, behind, or exposed. All generated from data your business already holds, in your format, in your brand colours, ready when your teams need them. This is what AI looks like when it's pointed inward. An intelligence layer that reads across everything your business already knows, surfaces what matters, and delivers it in a format that drives action. What would change in your organisation if your data could finally speak back to you? This is Stevie. #EnterpriseAI #Complexio #Stevie

The moment that shaped our R&D direction at @ComplexioAI was realising that the gap in enterprise AI had nothing to do with model capability. The gap was representational, AI had no structured understanding of how work actually happens inside an organisation. So we built one. In any operationally complex business - shipping, logistics, energy, financial services - the most valuable people are those who know what to ask before anyone else sees the problem. That instinct is the product of years of accumulated context. And it is the thing most AI systems assume the user already has. When that person leaves, the answers stay in the systems. What leaves is the judgment about which questions matter. We built proprietary technology to solve this. Our systems computationally map how an organisation actually operates, the relationships, sequences, dependencies, and decision patterns that experienced people carry in their heads. That structured understanding is what allows AI to identify the right problems automatically. The same science that surfaces critical gaps in a shipping company does the same in energy, logistics, or financial services. The operational contexts differ; the underlying architecture remains the same. #AI #EnterpriseAI #MachineLearning #Complexio