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AGENTOPS01-BP01 Establish well-defined agent roles, responsibilities, and success criteria - Agentic AI Lens
Implementation guidanceResources

AGENTOPS01-BP01 Establish well-defined agent roles, responsibilities, and success criteria

An agent without a documented role can be difficult to evaluate and improve. Provide each agent a clear purpose, scope, autonomy level, and success criteria to change ambiguous behavior into something teams can observe, measure, and hold accountable for.

Desired outcome:

  • Every agent has a documented job description specifying role, owned business outcomes, autonomy boundaries, and measurable success criteria.

  • Teams can objectively assess whether an agent performs as intended, and stakeholders understand what value each agent delivers.

  • Failure handling and escalation procedures are defined before deployment so out-of-scope requests and edge cases are handled predictably.

  • Success criteria map to business outcomes (task resolution rate, customer satisfaction) alongside technical metrics.

Common anti-patterns:

  • Deploying agents without documented scope boundaries, producing unpredictable behavior when the agent encounters requests outside its intended purpose.

  • Defining success criteria using only technical metrics (latency, uptime) without mapping to business outcomes, making it impossible to assess whether the agent delivers value.

  • Treating agent role definitions as one-time artifacts rather than living documents that evolve with business requirements.

  • Skipping the identification of stakeholders who depend on the agent, so there is no clear owner when behavior needs adjustment.

Benefits of establishing this best practice:

  • Documented intent and scope become the foundation for downstream controls. Guardrails, monitoring thresholds, and escalation paths all derive from the agent's stated purpose.

  • Measurable success criteria enable data-driven evaluation, giving the team empirical evidence for iterative refinement and investment decisions.

  • Out-of-scope requests and edge cases are handled gracefully because failure paths are defined before the agent ships.

  • Stakeholders and operators share a common understanding of what the agent is supposed to do and who is accountable for its behavior.

Level of risk exposed if this best practice is not established: High

Implementation guidance

A written role definition is the simplest control an agent can have, and the one most often skipped. Without it, guardrails get tuned against assumed behavior, monitoring thresholds get set against assumed workloads, and escalation triggers fire against assumed failures. The document should name the agent's primary purpose, the business process it supports, the stakeholders who depend on it, and the outcomes it is accountable for. Keep the document current as requirements evolve.

An agent that observes and reports is a different operational commitment from one that takes autonomous action, and conflating these two roles can become an oversight. The maturity progression from observer to assistant to autonomous to orchestrator to innovator gives stakeholders a common vocabulary for talking about how much agency an agent has and how much human review it still needs. Set the expectation on the right rung of that progression, and the downstream controls follow.

Success criteria fail when they measure what is cheap to measure rather than metrics that matter operationally. For example, a customer support agent with a latency target and no resolution rate is optimizing for the wrong thing. The SMART framework (specific, measurable, achievable, relevant, time-bound) helps, but the sharper test is to check if a metric improves alongside the business outcome it's measuring. Business outcome metrics (task resolution rate, escalation rate, customer satisfaction) should be checked alongside technical ones and share equal weight.

Operationalize the role definition by wiring it into runtime controls. Amazon Bedrock Guardrails turns documented topic restrictions, content filters, and denied topics into enforcement at invocation time. For no-code paths like Amazon Quick Suite, the same role-definition discipline applies through identity, instructions, and knowledge configuration. Publish agent role definitions to AWS Agent Registry so that both human operators and other agents can discover capabilities, understand scope, and route work appropriately.

Failure handling specifies what the agent does when it encounters requests outside scope, when tools are unavailable, or when it can't produce a confident response. Graceful degradation paths, confidence-based escalation, and structured logging for out-of-scope requests keep edge cases from turning into incidents. Review job descriptions quarterly or whenever business requirements change.

Implementation steps

  1. Create an agent job description template: Include name and identifier, primary purpose, stakeholder list, autonomy level on the maturity model, success criteria with measurable targets, out-of-scope topics, and escalation procedures.

  2. Complete the job description for each agent: Engage technical and business stakeholders together to validate scope and success-criteria alignment, and capture sign-off from both.

  3. Define measurable success criteria: Combine business outcome metrics (task completion rate, escalation rate, user satisfaction) with technical metrics, and apply the SMART framework to each.

  4. Enforce scope at runtime with Amazon Bedrock Guardrails: Configure topic restrictions, content filters, and denied topics that reflect the agent's documented boundaries.

  5. Publish agent definitions to AWS Agent Registry: Register each agent's capabilities, scope, and metadata so operators and other agents can discover and route work appropriately.

  6. Define failure handling and escalation: Document graceful degradation paths, confidence-based human escalation triggers, and structured logging requirements for out-of-scope requests.

  7. Establish a quarterly review cadence: Update job descriptions as business requirements change, and treat them as living operational artifacts owned by a named individual.

Resources

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