Unveiling Insights:
In today's fast-paced business environment, the need for intelligent automation has never been greater. Camunda, a leading workflow and decision automation platform, has taken a significant step forward with the release of Camunda 8.8. This latest update brings native support for AI agent invocation, revolutionizing the way businesses approach automation tasks.
Camunda's automation solutions are designed to cater to a wide range of needs, from simple rule-based processes to complex, adaptive workflows. The best automations often start with rules and grow into agentic processes as complexity increases.
The organization receives hundreds of emails daily from customers and partners, varying in structure, language, tone, and intent. Traditionally, rule-based logic has been the go-to solution for email classification and routing. However, with Camunda 8.8, solving intelligent automation tasks is no longer limited to traditional rule engines.
The most powerful automation comes from combining rule-based logic and AI agent invocation. For instance, the goal is to classify and route emails using an AI agent. This AI agent, known as the AI Email Support Agent, can handle fuzzy tasks like classification and summarization, making it ideal for dealing with the diverse nature of emails.
DMN, a rule-based decision modeling notation, ensures governance and traceability for business decisions. It shines when decisions are deterministic, auditing and compliance are key, changes are frequent but low-risk, and business users can modify rules via Modeler. Rule-based tasks are perfect for scenarios requiring transparent and auditable execution of predefined decision rules, such as regulatory compliance, fraud detection, alerting, KYC verification, and transaction approvals in banking or insurance.
On the other hand, AI agents are systems that leverage artificial intelligence, such as large language models (LLM), to make decisions, interpret unstructured inputs, or perform reasoning tasks beyond traditional rule-based capabilities. They are better when tasks require natural language understanding, inputs are messy or unstructured, or flexible, human-like decision-making is needed. AI agents are ideal for tasks involving adaptive reasoning, goal understanding, planning, and iterative decision-making with some level of learning or memory, especially in complex or less deterministic environments.
Choosing between rule-based tasks and AI agents isn't a binary decision; it's a strategic design choice. The right balance of performance, governance, and adaptability is critical for achieving optimal results. As AI-powered orchestration becomes more common in enterprise automation, understanding when to use deterministic rules and when to invoke an AI agent-via Camunda-is essential.
With the introduction of LLM connectors, embedding language models into your BPMN workflows is now easier than ever. The inputs and outputs of these connectors are logged and visible for auditing decisions, monitoring performance, and fine-tuning AI agent behavior.
Camunda's intelligent automation solutions offer a unique blend of rule-based engines for robust, explainable decisions and agentic AI for higher-level reasoning and adaptive task management. To experience the power of AI-powered automation, try modeling your first AI-powered process in Camunda using the AI Email Support Agent template from the Camunda Marketplace.
The release of Camunda 8.8 introduces native support for AI agent invocation, enabling businesses to revolutionize their automation tasks beyond traditional rule engines.
camunda's AI Email Support Agent, using artificial intelligence, can handle fuzzy tasks like classification and summarization, making it ideal for dealing with diverse email inputs.
