November 4, 2026 | New York, NY
Times are shown in Eastern Standard Time.
Join a live demo on how to Design, Deploy, Execute & Monitor end to end business process.
1. Fluxnova Modeler : Design and Deploy BPMN(Workflow) and DMN (Rules)
2. Fluxnova Engine/API : Execute the steps in process orchestrating with System, Human and AI
3. Fluxnova Control Center : Realtime monitoring and insights into Process execution
Fluxnova is an open source BPM (Business Process Management) which provides automation, orchestration, and agentic capabilities to accelerate the modernization of Financial Institutions workflows and end-to-end processes.
Maintained by some of the biggest Banks in the world, and managed by FINOS, it is the personification of the phrase, "Collaborate on the Core. Compete on the Edges".
But, how do you get started? And how do you scale? And how do you operationalize support and disaster recovery for critical business processes? And how do you start leveraging agentic capabilities?
This session will help address some of the challenges by looking at TD Bank's Fluxnova journey over the past year. It will cover what went well. What didn't. Lessons learned. And the roadmap ahead.
This project demonstrates how the Fluxnova Platform can automate and orchestrate an end-to-end validation and qualification workflow for Common Domain Model (CDM) trading events.
The solution manages the process from trade selection and connection to external validation services through to result processing, user review and approval. Built using the Business Process Modeling and Notation (BPMN), configurable forms, and API integrations, it combines automation with human oversight at key decision points.
Its modular and extensible architecture supports different validation and qualification services, making the workflow adaptable to multiple business use cases. The project shows how combining CDM and Fluxnova can reduce manual effort, improve process efficiency and provide greater transparency and control across complex trading workflows.
This talk explores how NatWest has applied product management disciplines to turn Fluxnova from an open-source project into a sustainable enterprise capability. It will cover how we define its role, prioritise investment, enable adoption, create reusable engineering patterns and connect community development to internal business outcomes. The session will show why treating open source as a product improves adoption, strategic control, engineering reuse and long-term value.
Organizations evaluating a migration from Camunda 7 to Fluxnova often ask these questions:
- Will it perform at enterprise scale?
- Is it truly a drop-in replacement?
- What does a production deployment look like?
This session answers those questions by walking through a real-world performance and deployment effort performed using Fluxnova on AWS.
We'll present the benchmarking methodology, summarize the resulting enterprise-class performance characteristics, discuss how Fluxnova maintains compatibility with existing Camunda 7 applications, and examine the AWS deployment architecture used during testing.
Beyond the benchmark numbers themselves, attendees will leave with a practical reference architecture that can be adapted for their own production environments, along with lessons learned from designing, deploying, and operating Fluxnova in the cloud.
Whether you're evaluating Fluxnova for a migration or planning a new deployment, this session provides practical guidance for running Fluxnova confidently in production.
An overview of the Agentic and other Al standards supported by Fluxnova, showcasing how FINOS Fluxnova's deterministic workflow capabilities brings Control, Observability and Audit Traceability to Complex Agentic Workflows.
Most talks about enterprise open source are told from one angle. But there are three very different experiences happening around the same project.
This session brings together three people who all have a stake in Fluxnova but experience it completely differently.
An enterprise engineer who uses Fluxnova but hasn't contributed upstream, sharing why the barrier still feels high and what would actually change that.
An enterprise engineer who actively contributes to Fluxnova, navigating enterprise process on one side and open source community expectations on the other. What it feels like to have your PR reviewed by someone who has no idea why it took three weeks to get internal sign-off.
A community contributor talking about what it's like working alongside enterprise contributors. Do corporate PRs feel different? What do they wish enterprise engineers understood about how open source communities work?
The goal isn't to point fingers. It's the honest conversation that usually doesn't happen because these three people are rarely in the same room.
If you've ever wondered what the person on the other side of your PR is actually thinking, this one's for you.
Large Language Models (LLMs) offer powerful reasoning and automation capabilities, but their probabilistic nature conflicts with the determinism, explainability and auditability required in financial services. This session presents a practical architectural pattern for agentic AI: LLMs as bounded cognitive components orchestrated by BPM-based workflow engines, such as Fluxnova.
Rather than deploying autonomous agents as opaque black boxes, this approach embeds LLMs within explicit and versioned business process models. BPM orchestration governs control flow, approvals, escalation paths, exception handling, and audit checkpoints, while LLMs are invoked for well-scoped tasks such as document extraction, classification, summarization and recommendation generation. The result is agentic behavior that is powerful yet constrained, flexible and governed.
Every outcome can be traced through a BPM execution graph, showing inputs, policies applied, LLM interactions, and human-in-the-loop decisions. We illustrate this pattern in the context of a financial use case to demonstrate how institutions can safely scale agentic AI while meeting regulatory, risk, and audit expectations.
AI agents need discoverable tools, bounded autonomy, and an audit trail — properties BPMN has standardized for two decades. Because BPMN processes are self-describing, with typed inputs, documented activities, and explicit boundaries, they map naturally onto agentic patterns: processes become tools agents can discover and invoke via MCP, while ad-hoc subprocesses give an LLM room to plan and act inside governed, observable process scopes. This talk explores why BPMN's constructs fit agentic orchestration so well, demonstrated with Fluxnova, the FINOS-hosted open source process engine — agentic workflows your auditors can live with.
Fluxnova needs a repeatable way to detect performance regressions and test financial workflows under load. Its current performance suite provides a useful base, but it lacks a standard test environment, JVM microbenchmarks, financial reference workloads, and release-over-release reporting.
This session proposes a phased, community-led benchmark program. First, define the environment, baselines, metrics, and regression thresholds. Next, add JMH microbenchmarks, embedded and REST tests, database and failure tests, and synthetic capital-markets, payment, and agentic-payment workflows.
The agentic-payment workload will test delegated authority, spending limits, payment initiation, retries, duplicate suppression, timeouts, and audit records. Results will cover latency percentiles, throughput, resource use, database cost, recovery, and correctness.
Attendees will leave with a benchmark structure, an initial workload list, and a contribution plan. The goal is reproducible evidence, not a maximum TPS claim.
As financial institutions increasingly experiment with AI agents, they face a fundamental challenge: how can non-deterministic systems be safely incorporated into business processes that must remain auditable, explainable, and compliant with regulatory requirements?
The industry is often presented with a false choice between traditional deterministic workflows and autonomous agents. In practice, the most effective solutions combine both approaches. Deterministic workflow orchestration provides structure, governance, and control, whilst agentic components introduce flexibility, adaptability, and intelligent decision-making where it adds the greatest value.
This session explores architectural patterns for blending deterministic and non-deterministic execution within financial workflows. Using the open-source workflow orchestration platform Fluxnova as a practical example, we examine where agentic behaviour can be safely introduced, and how workflow orchestration can provide the guardrails required in regulated environments.
Attendees will leave with a framework for designing business processes that balance innovation with governance, enabling the responsible adoption of AI agents.
