Move Subrogation Upstream in Insurance Claims With Agentic Orchestration
The article argues that insurers should shift subrogation from a downstream after‑adjustment activity to an upstream function at first notice of loss (FNOL). By deploying agentic orchestration—multiple AI agents that extract evidence, validate policy constraints, and recommend recovery actions—companies can capture third‑party signals while they are fresh. Early identification reduces claim leakage, shortens cycle times, and standardizes pursuit through decision tables and deterministic controls. The approach also creates an audit‑ready trail, ensuring regulatory defensibility and consistent outcomes across teams.
Stop Late Severity Escalation in Claims With AI Agents
Late‑severity or “jumper” claims explode in cost after reserves and staffing are set, hurting cycle time, leakage, and customer experience. The root causes are fragmented handoffs, delayed evidence, inconsistent triage, and hidden signals trapped in unstructured data. Camunda proposes agentic...
6 Agentic AI Insurance Use Cases to Prioritize in Claims
Insurance carriers face pressure to shorten claim cycles, curb leakage, and boost customer experience while avoiding regulatory risk. Although AI tools have proven value in isolated tasks, most lack integration into core claim processes, limiting autonomous action. The article outlines...
Camunda 8.9: Your Fastest Path to Agentic Orchestration
Camunda released version 8.9, positioning its platform as an enterprise‑grade orchestration layer for AI agents, human workers, and legacy systems. The update introduces relational‑database support for secondary storage, global user‑task listeners, a centralized audit log, and native Agent2Agent (A2A) communication....
Choosing AI Orchestration: A Practical Assessment Guide for Developers
Developers find AI agents impressive in prototypes but fragile in production, where timeouts, hallucinations, and compliance gaps emerge. AI orchestration layers add durable, observable coordination of agents, humans, and systems, turning ad‑hoc loops into governed processes. The article categorizes four...
Why BPMN (Still) Matters—Especially in the Age of AI
The article argues that BPMN remains essential despite AI hype, because orchestration provides the executable framework needed for safe, repeatable work. AI agents can decide next steps, but BPMN ensures state management, retries, SLAs, and auditability. Camunda’s 2026 report shows...
Fewer CVEs in Your Camunda 8 Containers with Hardened Base Images
Camunda announced that its Camunda 8 self‑managed containers now use hardened Minimus base images, eliminating 354 known CVEs from the base layer. The transition covers Node, OpenJDK, OpenJRE and PHP images and includes a build‑time option for Zeebe’s container. Ongoing...
Camunda 8 Helm Chart Update and the Future of Bitnami Sub-Charts
Camunda announced a three‑phase overhaul of its Helm charts after Bitnami moved many public container images to a legacy repository that no longer receives security patches. Version 8.8 updates chart references to the legacy repo and introduces Camunda‑maintained enterprise images...
Inside Go-To-Market at Camunda: Meet Aurélien CRESP, Strategic Account Executive
Camunda’s new “Meet a Camundi” series spotlights its go‑to‑market organization, beginning with Strategic Account Executive Aurélien Cresp. Cresp describes how his background in technology sales informs a relationship‑first approach that emphasizes executive alignment and measurable value. He recounts turning a bank...
How Camunda’s Skyflow Connector Helps Regulated Organizations Orchestrate Sensitive Data Safely
Camunda introduced a Skyflow connector that tokenizes and de‑identifies PII/PHI within BPMN workflows. The connector forwards selected fields to Skyflow’s vault, replaces them with tokens, and permits controlled re‑identification only at approved steps. This approach shrinks the cleartext data footprint...
How Insurers Scale Agentic AI Safely Across Their Operating Model with Orchestration
Insurance carriers are moving from isolated AI pilots to enterprise‑wide agentic AI, but they lack a coordination layer that embeds agents into core workflows. Agentic orchestration merges deterministic process control with dynamic AI behavior, enabling safe, regulated automation across claims,...
Using A2A to Achieve Your Business Goals: Part One
Camunda’s blog outlines how the open‑source Agent2Agent (A2A) protocol can be embedded in BPMN‑based processes to enable reliable, auditable communication between heterogeneous AI agents. It explains Camunda’s three A2A connectors—client, polling and webhook—and when each fits a deterministic service task...