Workflow Agents
Builders evaluating whether an event-driven workflow agent fits their automation problem. If you've already decided, jump straight to the workflow quickstart; if you're still comparing patterns, see the workloads overview.
Event-driven automation agents that reason, act, and adapt. AgentCore runs your workflow agents at scale with built-in security, observability, and bounded autonomy, replacing brittle scripts with intelligent automation.
What Is It?
A workflow agent is an autonomous automation system triggered by events, not humans. When an alert fires, a document arrives, or a schedule ticks, the agent wakes up, gathers context, reasons about the situation, takes action, and goes back to sleep. Unlike traditional automation scripts with rigid if-then-else chains, workflow agents use LLM reasoning to handle ambiguous inputs, adapt to edge cases, and make judgment calls within defined guardrails.
Common Use Cases
- Claims processing / adjudication — Insurance or healthcare claims arrive as events. The agent enriches with policy data, reasons about coverage rules, approves/denies within policy limits, and escalates edge cases to a human adjuster.
- IT incident response / auto-remediation — Monitoring alert fires. Agent pulls service health, correlates with recent changes, executes runbook steps (restart, scale, failover), and notifies on-call only when human judgment is needed.
- Document intake and routing — Documents land in S3 or arrive via email. Agent classifies document type, extracts key fields, routes to the appropriate queue, and triggers downstream workflows.
- Compliance drift detection — Scheduled scan finds configuration drift. Agent assesses severity, auto-remediates known patterns, and creates tickets for novel findings.
- Email / ticket triage and auto-response — Inbound support emails are classified by intent and urgency. Auto-responded if the answer is clear, or routed to the right team with a pre-drafted response.
- Order exception handling — Fulfillment system flags a stuck order. Agent investigates root cause (inventory, payment, shipping status), resolves if possible, or escalates with full context.
When to Choose Workflow
Choose this workload when:
- A system event is the trigger (alert, webhook, schedule, file upload, message queue)
- The agent needs to make decisions and take actions autonomously
- You need bounded autonomy: the agent should act within defined guardrails, not freely
- The primary output is actions taken and events emitted, not chat messages
- Each invocation is short-lived (seconds to minutes), not a long conversation
For a side-by-side comparison with Conversational and Coding patterns, see the Workloads overview comparison table.
Strengths and Limitations
| Strengths | Limitations |
|---|---|
| Scale-to-zero (no idle compute between events) | Not suited for multi-turn human conversations |
| Bounded autonomy via Cedar policies | Requires upfront policy design to constrain behavior |
| Event-driven fits existing AWS infrastructure | More complex trigger setup than a simple API endpoint |
| LLM reasoning handles edge cases scripts cannot | Non-deterministic: same event may produce different actions |
| Full audit trail for every decision | Higher latency than pure rule-based automation |
| Programmatic evaluations at zero token cost | Evaluation dataset requires curating ground-truth examples |
The 5-Step Execution Pattern
Every workflow automation agent follows a consistent execution loop:
Where scripts need explicit branching for every case, the LLM reasons over the enriched context and decides the best action dynamically.
AgentCore Configuration Summary
| AgentCore Service | Configuration for Workflow | Why It Matters |
|---|---|---|
| Identity | Service identity (client credentials, SigV4) | Agent authenticates as a service, not a user |
| Memory | SEMANTIC per entity, or stateless | Cross-invocation context about incidents/tickets |
| Runtime | Short-lived sessions (up to 15 min ¹), scale-to-zero | Cost-efficient, no idle compute |
| Policy Engine | Cedar policies for bounded autonomy | Constrain which tools the agent can call and when |
| Evaluations | Builtin.GoalSuccessRate, Builtin.TrajectoryInOrderMatch, Builtin.TrajectoryAnyOrderMatch, Builtin.Correctness | Continuous quality measurement in production |
| Observability | Per-invocation tracing with event context | Full audit trail for every decision |
| Gateway | Service-scoped tool access with credential providers | Agent calls APIs with managed credentials |
¹ Session idle timeout defaults to 15 minutes; maximum session lifetime is 8 hours. These are runtime-level settings, not workflow-specific. See Runtime lifecycle settings.
When Not to Use This Pattern
Skip the Workflow pattern when:
- The automation logic is simple and deterministic (a few if/else conditions, no reasoning needed). A scheduled AWS Lambda function with direct API calls is simpler, cheaper, and easier to debug.
- A human needs real-time responses during the process. Use the Conversational pattern instead.
- The primary output is code, tests, or PRs. Use the Coding pattern instead.
- You cannot define bounded autonomy upfront. If you cannot describe what actions the agent is and is not allowed to take, the policy design will be hard. Start with a deterministic script and graduate to an agent when the edge cases accumulate.
- Tasks consistently exceed the short-lived session window. For long-running background jobs (hours), consider the Coding pattern or orchestrating multiple short-lived workflow agent invocations.
Further Reading
- Runtime lifecycle settings
- AgentCore evaluators reference
- Cedar policy authorization flow
- Scale-to-zero cost best practice (AgentCost06-BP03)
Next Steps
Quick Start →
Build and deploy an incident response agent in 5 steps.
Harness Quick Start →
The config-only path: a bounded triage step that emits structured verdicts.
Event Processing →
Triggers, Lambda patterns, and the event-driven execution model.
Bounded Autonomy →
Cedar policies and the Policy Engine deep dive.
Tools & Gateway →
Tool design principles, hosting options, and MCP Gateway.
Evaluations →
Online measurement, ground truth, and built-in evaluators.