The power of adaptive case management and automation

In today’s knowledge-driven business environment, organizations aren’t solely defined by structured, repetitive processes. Instead, success depends on their ability to handle the unexpected: The customer complaint that doesn’t fit a standard script; the complex insurance claim; or the legal investigation that requires a context-driven response. It’s in environments like these that adaptive case management (ACM) and dynamic workflows breathe new life into operational excellence, and organizational agility.

Adaptive case management (ACM) (also known as dynamic case management) is designed for unpredictable, knowledge-intensive scenarios where outcomes are not fully defined in advance. It empowers case workers to shape their workflows in real time, making decisions based on context, available data, and their own judgment. This approach differs to traditional Business Process Management (BPM), which excels at automating rigid, predefined sequences of tasks.

As a high-powered open-source BPM platform, Flowable is uniquely positioned to enable both BPM and ACM through unified models. By supporting open standards like BPMN (Business Process Model and Notation) and CMMN (Case Management Model and Notation), Flowable allows organizations to orchestrate a wide spectrum of work, from the structured to the dynamic, all within a single platform — paving the way for a successful digital transformation.

When Adaptative Case Management (ACM) is ideal, and where BPM excels

Conventional BPM is the perfect fit for situations that are predictable, repetitive, and have a clear path to completion. Think of a simple purchase order approval, or an expense report submission.

These types of procedures benefit from the strict controls and efficiency of a predefined workflow. However, the rigidity of such models highlights their limitations when confronted with case complexity and exceptions.

Compare this with the different and often unpredictable needs of unpredictable needs in areas like healthcare, fraud detection, and legal actions. For example, a patient's care plan is rarely a straight line; it evolves with their condition, test results, and the doctor's real-time decisions.

Similarly, a financial fraud investigation is an exploratory matter, rather than a checklist that can be ticked off, step by step. It requires investigators to follow clues, gather evidence, and make impromptu decisions that cannot be modeled ahead of time. Adaptive case management (ACM) is the ideal framework for spontaneous scenarios, as it handles ad hoc, evolving case flows in real-time, whereas BPM requires full definition in advance.

What adaptive workflow automation means today

Adaptive workflow automation allows systems to adjust on the fly. They use real-time conditions, AI insights, and user inputs to make intelligent, contextual decisions, going beyond simple flexibility.

The game changer? The emergence of AI agents has taken this adaptability to a whole new level.

AI agents today can learn from historical interactions, predict potential bottlenecks, and autonomously adjust workflows. And with the Flowable 2025.1 release, we’re introducing a new agent engine that elevates AI agents to first-class status, allowing for sophisticated multi-agent collaboration across different systems and gives organizations a holistic approach to operationalizing AI at scale.

For a case worker handling a customer complaint, an AI agent could, for instance, analyze the sentiment of the customer’s communication, suggest a pre-approved compensation offer, or even autonomously trigger an escalation to a manager based on predefined rules. In case management contexts like healthcare, such adjustability enables proactive interventions, like automatically triggering a high-risk patient's care management based on data patterns with no manual action required.

The best of both worlds: Blending process and case management

One of Flowable's key strengths lies in its ability to blend structured process management with dynamic case management. The platform’s open-source architecture supports both BPMN and CMMN model engines, combined with Flowable’s AI agent engine. Here’s a more detailed look at how:

• Unified modeling: Flowable’s support for CMMN aligns with ACM approaches, enabling model-driven development with ad hoc task orchestration and decision logic. This is complemented by BPMN for structured subprocesses, all connected within the same platform.

• Human-in-the-loop: The platform emphasizes a human-centric approach, ensuring that people are familiar with tasks that require both judgment and decision-making. No-code/low-code modeling allows knowledge workers and non-technical stakeholders to define and modify flows on the go, empowering them to respond to new information as it arises.

• Advanced capabilities: Flowable offers rule-driven transitions through DMN (Decision Model and Notation), dynamic task assignment, and integration capabilities with other systems. Crucially, the platform provides auditability and a clear view of the entire case lifecycle, from initiation to resolution. This 360-degree case view ensures transparency and compliance, even in the most dynamic scenarios.

Flowable in action: Key use cases

Flowable's unique blend of capabilities makes it a top-notch platform for a wide range of use cases, including:

• Incident investigation: Whether a security breach or an HR incident, investigations are inherently unpredictable. Flowable allows a case manager to add or remove tasks, involve new parties, and track milestones as new information comes to light.

• Compliance workflows: In legal or regulatory environments, a systematic approach can handle routine filings, while CMMN models can manage the exceptions and inquiries that deviate from the norm, ensuring every step is documented and auditable.

• Insurance claims and complaint handling: These are both strong examples of hybrid scenarios where a structured sub-process, like verifying a policy, can be embedded within a broader, case-based orchestration that adapts to each unique claim or complaint, powering insurance claims automation.

From design to refine: Implementing adaptive case management (ACM)  

Implementing adaptive case management with Flowable is best approached with a clear, focused strategy. Start with a pilot use case, perhaps an HR incident response, or a customer complaint process.

• Design the CMMN model: This is all about goal-oriented processes. Begin by defining the milestones, stages, and tasks within the model. This is where you establish the context and goals of the case, rather than a rigid sequence of actions.

• Embed rules and decisions: Utilize DMN to embed clear rules and decision tasks. For example, a decision table could automatically route a customer complaint to a specific team based on the product and customer tier.

• Enable adaptability: Design the model to allow for human-in-the-loop adaptability. Case workers should have the power to add ad hoc tasks, re-route a case, or trigger new processes as needed.

• Monitor and refine: Use Flowable's dashboards and reporting tools to monitor the evolution of cases, identify common patterns, and refine your models over time. Each case provides valuable data that can be used to improve the next.

Embracing agility, unlocking tomorrow

There are a vast array of advantages to implementing an adaptive case management framework. Businesses experience faster resolution times, improved transparency, and a reduction in administrative overhead. Knowledge workers feel empowered with the flexibility to do their best work, rather than being constrained by rigid systems.

This foundation sets the stage for intelligent augmentation. By integrating AI agents for predictive routing, anomaly detection, or proactive case escalation, organizations can continue to reduce the burden on their employees. For example, an AI agent has the capacity to analyze a stream of new cases and predict which ones are at risk of missing a service level agreement, proactively escalating them before a failure occurs.

Flowable provides a flexible, knowledge-worker-centric approach to automation that moves beyond the limitations of traditional BPM. By supporting a unified model for both structured processes and dynamic cases, organizations can both handle complexity and embrace change.

Ready to experiment with adaptive case management? When you unlock the power of unified process and case orchestration, you equip yourself with the tools to build a resilient, agile organization ready to thrive in an unpredictable world.