Flowable

Banks don’t struggle with AI because of the models. They struggle with everything around them. Watch Roger Brunner from Flowable break down why governed AI in banking comes down to integration, orchestration, and responsible scale. Roger will expand on this at the Vision Stage on 19 May (11:10 to 11:40 AM GMT) at the Banking Transformation Summit in London. You can also meet Roger, James Wooster, Mark Brittain, and Patrick Züst at Tobacco Dock on 19 to 20 May. More info here: go.flowable.com/l/934653/2026-… #BankingTransformation #AIinBanking #Automation #FinTech

Financial crime is evolving fast. Your AML/KYC should too. Flowable will be at FinCrime Leaders Summit East Coast (May 13, Charlotte) ready to talk about how you can: → Automate AML & KYC end-to-end → Reduce risk + manual work → Connect onboarding, monitoring & investigations We will also be leading the following speaking session: “The Evolution of KYC” (AI + real use cases) with Flowable's Fabio Filippelli, VP Global Sales See you in Charlotte! More details: go.flowable.com/l/934653/2026-… #FinCrime #AML #KYC

Automation ROI is not just about efficiency, it is about proving real business value. As automation reshapes workflows across people, systems, and decisions, the key challenge is showing measurable cost savings and capacity gains at scale. Read more here: go.flowable.com/l/934653/2026-… #Automation #BusinessAutomation #ProcessAutomation #DigitalTransformation #AI

Smarter insurance underwriting means automation, visibility, and compliance working together. Our guide shows how to get there without trade-offs. Read here: go.flowable.com/l/934653/2026-… #InsurTech #Insurance #DigitalTransformation #AI

As orgs adopt AI agents, governance can’t be an afterthought. Flowable CEO Agim Emruli tells @InfoWorld: “Teams need to establish identity-based access controls… because in multi-agent systems, traceability drives accountability.” Read 👉infoworld.com/article/414083… #AI #AIGovernance #ResponsibleAI

Prevent the AI adoption bottleneck in your regulated operations. Without a governed approach, teams will use AI on their own, and if your IT doesn't have the right resources to control AI integration, disconnected silos will limit its impact. We are hosting this session to help you skip those risks and move directly to governed AI. Join Micha Kiener and Paul Vincent for an interactive session on building board-level defensibility into your AI strategy. Key topics: 1. Why open standards-based orchestration serves as the essential safety net for AI. 2. How to prevent audit failure through proactive governance. 3. Live demonstrations of AI agents assisting teams within regulated workflows. Designed for: CIOs, Enterprise Architects, and Risk leaders. Move your AI strategy from experimentation to real business results.  Get your technical and business questions answered live by our experts. This coming Tuesday. 🗓️ March 31, 2026 🕙 17:00 CET | 11:00 EST ✍ Register here: go.flowable.com/l/934653/2026-…

Healthcare work doesn’t follow a straight line. That’s because good patient care adjusts as needed. A routine case can turn complex in minutes. New data arrives. Risk changes. Priorities shift. When workflows are static, teams are forced to compensate manually, often with delay. Flowable is the Command Bridge that allows adaptive workflows to respond to real-time clinical context, helping care teams identify risk earlier, escalate the right cases, and keep work moving without adding cognitive load. It allows healthcare processes to function with agility without manual adaptability turning into operational chaos. 📚 Read more here: go.flowable.com/l/934653/2026-… #HealthTech #ClinicalWorkflows #AdaptiveCaseManagement #HealthcareInnovation #Flowable

Regulated operations thrive when efficiency and governance work together. Today, many AI initiatives stall because agents operate in silos. They complete isolated tasks but remain disconnected from enterprise systems, structured data, and the people responsible for outcomes. The result? Limited scale, limited trust, limited ROI. Flowable transforms work experiences by uniting legacy communication channels and fragmented data into a singular, intelligent digital workplace that integrates all your technology with automation. See the Agentic Case Platform in action with governed AI agents: 💠Human-in-the-loop 2.0: Empower frontline staff with specialized agent assistance while keeping humans in total control. 💠End-to-end orchestration: Transition from simple task automation into the full orchestration of people, systems, and AI journeys. 💠Operational predictability: Use orchestration to restrict data scope, ensuring AI outcomes are predictable, accurate, and affordable at scale. Make your AI operational. Make it governed. Make it production-ready. 🗓️ March 31, 2026 | 🕙 17:00 CET | 11:00 EST ✍ Register here: go.flowable.com/l/934653/2026-…

“Multi-agent orchestration coordinates fraud detection, damage assessment, and claims routing simultaneously, cutting settlement times from weeks to hours while keeping humans in the loop for sensitive cases.” Head of Credit Risk, UK Insurance Leader Claims teams live in the space between speed and sensitivity. Customers expect fast resolution. Regulators expect full transparency. And some cases still require human judgment no matter how advanced AI becomes. When fraud detection, damage assessment, and routing operate in silos, delays pile up and accountability blurs. Flowable’s latest release brings these moving parts together into one single Command Bridge, coordinating multiple AI agents and adjusters inside one governed case so claims move faster, without losing oversight where it matters most. 💠 Read more here: go.flowable.com/l/934653/2026-… #Insurtech #MultiAgentSystems #ClaimsManagement #AIOrchestration #Flowable

Open standards-based orchestration is the foundation of a resilient AI roadmap. The LLM landscape evolves rapidly. New models emerge. Versions shift. Performance changes. If your business processes are tightly coupled to a single model, scaling becomes expensive, and technical debt accumulates fast. The flexibility of open standards ensures your infrastructure remains stable when the underlying technology is constantly changing. Join our technical deep dive into building a resilient AI infrastructure: 💠Model agnosticism: Build workflows that allow you to switch underlying AI models, with compliance intact and without disrupting business logic. 💠Context engineering: Increase accuracy and reduce hallucinations by using orchestration to provide custom context to your AI agents so the exact data required is integrated for each specific task. 💠 Performance testing: Implement agent test suites to ensure model updates don't compromise existing business processes. Enterprise architects and automation leaders building long-term AI strategies: this webinar is for you. 🗓️ March 31, 2026 | 🕙 17:00 CET | 11:00 EST ✍ Register here: go.flowable.com/l/934653/2026-… With Flowable CTO, Micha Kiener, and ex-Gartner Analyst, Paul Vincent

In banking, complexity can arise from a seemingly optimized process in which many systems are each doing one thing well, while the results are not aligned. One AI scores risk. Another checks compliance. Another personalizes the client experience. The challenge for banking leaders is making those decisions align in real time without creating blind spots or slowing advisors down. Flowable is the Command Bridge that does exactly this. It enables multi-agent orchestration, so specialized AI models can collaborate inside a single governed flow delivering intelligence at scale without compromising trust. Read more here: go.flowable.com/l/934653/2026-… #AIAgentsForBanks #AIAgentsInBanking #BankingGovernance #BankingAutomation

AI you can’t explain is AI you can’t deploy. As LLMs move into automated workflows, their probabilistic behavior creates real risks for AI leaders and compliance officers in high-stakes regulated environments. AI agents need guard rails that allow them to act like managed assets. The Agentic Case Platform provides this control, by keeping your agents working within the strict boundaries of enterprise permissions. This month we are discussing how to make AI agents for regulated operations: ◾ Eliminate shadow automation: Bring disconnected AI tasks under a centralized, governed command bridge. ◾ By-design auditability: Build transparency into the process from the start, rather than relying on post-event reporting. ◾ Managed risk at scale: Use CMMN modeling to ensure AI agents strictly respect operational permissions even when in dynamic use. Future-proof your AI adoption against regulatory shifts with open standards-based orchestration. 🗓️ March 31, 2026 | 🕙 17:00 CET | 11:00 EST ✍ Register here: go.flowable.com/l/934653/2026-… #Flowable #AIAgents #OpenStandards #A2A #BusinessAutomation #ContextEngineering #DigitalTransformation #ProcessOrchestration

In insurance operations, AI didn’t arrive in one big rollout. It crept in claim by claim, model by model, team by team. Fraud detection here. Document extraction there. Rules, exceptions, escalations layered on top. Before long, decisions are being made faster than governance can follow and compliance teams are left stitching together visibility after the fact. By orchestrating AI, people, and systems inside governed cases, Flowable’s Command Bridge ensures governance stops being something you apply later and makes it part of how work actually runs. Read more here: go.flowable.com/l/934653/2026-… #InsuranceTechnology #Insurtech #AIgovernance #IntelligentAutomation #InsuranceOperations #DigitalTransformation

Most AI initiatives in regulated industries fail at the same point: production. To move AI into production successfully, every decision must be explainable, auditable, and governed from day one. Black-box AI is an operational risk for companies. It can cause audit problems, regulatory issues, and loss of board confidence, preventing AI from delivering real business value. This webinar is for those who wish to bridge this gap between AI potential and safe, effective operational use. ◾ Governed AI agents: Move your AI strategy from sandboxes to production with full-scale enterprise controls. ◾ Board-level defensibility: Use open standards to provide the transparency regulators demand, and the integration competence you need for it to make an impact. ◾ Explainable outcomes: Ensure every AI-driven action is auditable and compliant by design. Designed for: CIOs, enterprise architects, and AI and risk leaders responsible for deploying AI in regulated environments. 🗓️ March 31, 2026 🕙 17:00 CET | 11:00 EST ✍ Register here: go.flowable.com/l/934653/2026-… #Flowable #AIAgents #OpenStandards #A2A #BusinessAutomation #ContextEngineering #DigitalTransformation #ProcessOrchestration

It might be obvious to many of you out there, but if you don’t orchestrate the automation, your AI agents are not going to live up to your expectations. The big mistake with agentic AI is that companies are building silos with single agents that do one task but don't talk to each other. Similar to how RPA automated single tasks, agentic AI is the way to automate the automation — and this is where its major value lies. AI's value is unlocked when it acts as a horizontal layer that orchestrates systems, people, data, and multiple AI agents in end-to-end journeys. Less is more, and enterprise automation software is what’s needed to apply exacting context from the numerous sources and channels in which data is spread within the spanning day to day of the modern business. Giving an agent too much data degrades performance. Context engineering enables giving an agent the absolute minimum scope of data required to solve a specific part of a problem. By restricting the data scope the outcome becomes more predictable, faster, and ultimately economical at scale. Right now many decision makers are acting under FOMO and rushing agents into production without proper controls. For example: 💠 Agents shouldn’t be used with admin access to everything. They should follow an employee hierarchy logic where permissions are strictly managed. 💠 Every action an agent takes must be auditable and transparent, especially in regulated industries like banking or healthcare. It’s essential to be realistic about AI’s limitations, and to understand that a plug and play approach isn’t compatible with enterprise use if you're looking at AI as a serious investment and successful ROI champion. Integrating technology with accountability for real results, with the scale and governance that enterprises demand is a core value of Flowable since its beginning. 🌊 In today's webinar Joram and Fabio will be on the air to explore with you how the latest release is doing just this with agentic AI. Don’t miss this if you're getting serious about the future of AI in your business processes. go.flowable.com/x/unlock-agent…

Tomorrow! Which AI agent automation questions should we answer live? Drop them below or join us on February 19: go.flowable.com/x/unlock-agent… ✍ These are the top 3 things Fabio Filippelli wants to answer in the Agentic Case Platform webinar & the major new release focus Joram Barrez aims to cover. Don’t miss this ! 📅 February 19, 2026 🕙 17:00 CET // 11:00 EST

Do you still treat AI as just a project ? That's so 2024. (Albeit for many, it's even last-decade.) AI is embedded everywhere: 🟪 frontline workflows 🟪 business decisioning 🟪 customer interactions 🟪 internal operations The questions for Operations, Tech, and Compliance leaders today are: “How do we govern it everywhere it shows up?” “How do we add AI on our own terms, where it’s missing in our processes?” What’s needed is a Command Bridge: a seat at the center of governed AI. Flowable gives you the instruments to control and embed enterprise-fit intelligence across your operations. Our newest release brings governance to the place it matters most: RUNTIME, where the work actually happens. Read about it here: go.flowable.com/l/934653/2026-… #FlowableRelease 2025.2

Flowable's Agentic Case Platform can help your teams move from searching for data to deciding with it accurately on the spot. Most business users need to spend excessive time gathering the context needed to make the right decision. They’re digging through email threads, opening five different PDFs, and checking legacy system notes. Flowable transforms your team's work experience from jumping from a static inbox, across tools, scattered knowledge, and comms history >>> into a singular intelligent digital workplace that integrates all of the above. Joram Barrez and Fabio Filippelli will demonstrate how Flowable’s Agentic Case Platform powers your workforce with a singular intelligent command bridge: 💠 The AI-summarized case: See how Flowable Work now provides real-time, conversational summaries of complex cases, while AI agents action and suggest next steps to keep your teams up to speed in real time. 💠 Human-in-the-Loop 2.0: Discover how the AI Form Buttons allow frontline staff to invoke specialized agents (like Document or Knowledge agents) exactly when they need them — while firmly in control. 💠 The end of siloed AI: Learn how Flowable orchestrates multiple AI models (A2A) in one single UI, giving your workers a consistent experience even if you swap your underlying LLMs. Augment your experts. See how this latest release puts the power of governed AI directly into the hands of your workforce. 📅 February 19, 2026 🕙 17:00 CET // 11:00 EST ✍ Register here: go.flowable.com/x/unlock-agent… #Flowable #AgenticAI #CaseManagement #DigitalTransformation #AIWork #BusinessAutomation

Customers aren’t waiting... Why is your AI enablement? Expectations post AI adoption remain as high as ever. And its added to every tool across SaaS suites today. But like any siloed technology, if you're expecting big results without first enabling the right infrastructure: including enterprise orchestration, governance, and automation, you're setting up your knowledge workers to fail. Making AI operational requires context engineering controls and proper governance, so your teams can handle high-stakes real-world workflows at scale. Join us this February to see how The Agentic Case Platform operationalizes your AI across tools and systems. Joram Barrez Barrez and Fabio Filippelli will answer your questions and cover: 💠 Centralized context engineering: How to give AI the right data for high-stakes accuracy. 💠 Responsible agency: Using CMMN modeling to set enterprise permissions and boundaries. 💠 AI enablement without disruption: Integrating agentic AI into your existing systems today. As well as a lot more! ✍ Register here: go.flowable.com/x/unlock-agent… 📅  February 19, 2026 🕙 17:00 CET // 11:00 EST

What is the Complexity Vortex? When enterprise operations turn into a sea of workflows, decisions, handoffs, and AI tools, IT and process complexity accelerate. What starts as “optimization” and “transformation” quickly becomes a spiral into what we consider the Complexity Vortex. The state where: 💠 systems fragment instead of connecting 💠 shadow AI emerges outside governance 💠 manual escalations replace flow 💠 compliance teams chase visibility after the fact Once organizations are pulled into the Complexity Vortex, the impact is real and immediate. Customer experience degrades, teams burn out, and profitability erodes under the weight of unstructured, unmanaged work. Escaping it is even harder. Without clear visibility or governance of what is going on at a granular level, enterprise leaders are forced to navigate blind, reacting instead of steering. Flowable’s new release is built to help organizations outmaneuver this trap with a governed environment where work remains adaptive, visible, and auditable even as AI becomes part of everyday operations. Why do exceptions now dominate everyday operations? Why does AI adoption often increase pressure instead of reducing it? We investigated the vortex of complexity that too often plagues businesses a wheelhouse of technology and tools have been adopted throughout digitalization: go.flowable.com/l/934653/2026-…