In today’s enterprise landscape, not all work fits into a neat, predefined workflow. Some scenarios are unpredictable, complex, and require human judgment. That’s where Case Management comes in.
Case Management is designed for the kind of work that doesn’t follow a straight line. It’s about managing dynamic, exception-heavy situations where the path forward is shaped by real-time data, collaboration, and decision-making.
Understanding Case Work
Case work refers to the hands-on, day-to-day interactions where people handle complex, unpredictable cases by gathering information, making decisions, and coordinating actions to resolve them.
Each case is unique and requires balancing interactions between:
People – stakeholders, experts, and decision-makers.
Content – structured and unstructured data, documents, and evidence.
Policies – business rules, regulations, and compliance requirements.
This type of work is:
Complex and Unique – No two cases are the same.
Human-Centric – Decisions are made through collaboration and negotiation.
Data-Centric – Every action relies on having the right data at the right time.
Dynamic and Audited – Cases evolve and must be traceable.
Exception-Heavy – Many cases require special handling due to regulations or unique circumstances.
Real-World Example: Security Breach Investigation
Imagine a major bank detects unauthorized access to customer accounts. A caseworker is assigned to lead the investigation. This case is:
Complex – The breach is unique and requires deep analysis of system logs, interviews, and understanding of affected systems.
Collaborative – The caseworker works with IT, legal, compliance, and customer service to gather insights and coordinate responses.
Data-Driven – Every action depends on accurate, timely data.
Audited – All steps must be documented for internal and regulatory review.
Exception-Heavy – VIP clients or cross-border regulations may require special handling.
This is not a linear process—it’s a dynamic journey that demands expertise, judgment, and adaptability.
Case Management vs. Process Automation
While Process Automation is ideal for structured, repetitive tasks (like vacation requests or standard onboarding), Case Management is built for unstructured, dynamic work.
Characteristic
Process Automation
Case Management
Type of Work
Structured and predictable
Unstructured and dynamic
Workflow
Predefined
Flexible and adaptive
Goal
Efficiency and speed
Best outcome and informed decisions
Examples
Vacation requests, onboarding
Insurance claims, fraud investigations
Categories of Case Management
There are three main categories of case work, each with distinct characteristics:
Service Requests
Definition: Requests requiring actions from process snippets.
Examples: Customer service requests, IT support, loan origination.
Traits: Well-defined steps, dynamic workflows, automation-friendly, AI-supported tasks.
Incident Management
Definition: Unpredictable situations requiring correction.
Examples: Workplace accidents, security breaches, quality issues.
Traits: Unplanned, situational, high collaboration, AI-supported insights and tasks.
Investigative Cases
Definition: Data-intensive cases requiring analysis over time.
Examples: Fraud investigations, compliance audits, legal disputes.
Traits: Evolving patterns, judgment-based decisions, AI-supported insights and tasks.
Each category reflects a different level of complexity, collaboration, and data intensity.
Final Thought
Case Management is not about automating the predictable—it’s about empowering people to navigate the unpredictable. It’s the orchestration of people, content, and policies to reach the best possible outcome.
With Bizagi, organizations can manage case work with agility, transparency, and intelligence—turning complexity into clarity.