Autonomy and limits
When the agent may go beyond the goal, actions or restrictions defined for its role.
R/Pulse Agent Resilience & Observability
Expand your use of AI agents with a clear view of their risks
R/Pulse ARO is our active validation module for AI agents. It runs simulations to investigate how each agent responds and acts when a situation leaves the expected path. That way, your organization finds the limits that need attention before expanding the autonomy or reach of these agents.
A convincing response doesn't mean the agent acted as it should
As AI agents start using data, tools and integrations, their decisions can have effects beyond the conversation. A response can look right while the action taken goes beyond the scope your organization defined.
These behaviors depend on the mix of instructions, permissions, available resources and the context of the interaction. Testing only the expected paths leaves important questions open: where does the agent respect its limits, and under what conditions can it step outside them?
Hypothetical scenario
Request
Refund $150 on an order
Agent response
“Your $150 refund has been approved”
System action
- Refund$150
- Refund$150
Two $150 refunds for the same order
Put your agents' behavior to the test
R/Pulse ARO (Agent Resilience & Observability) puts AI agents under pressure to reveal where their decisions and actions stop respecting the business's limits. It expands your team's capacity to investigate behaviors that are hard to predict and gives you a basis for deciding how much autonomy each agent can be trusted with.
Choose the limits that matter
Start with the agents and behaviors whose failure could have the greatest impact on operations.
Go beyond the expected flow
ARO runs simulated interactions to investigate responses and actions under different conditions.
Focus your team's attention
The behaviors found are organized so specialists can identify what needs analysis.
Evaluate the agent beyond the quality of its answers
The evaluation scenarios ARO runs help investigate the different ways an agent can create exposure for the organization:
Response reliability
When a claim has no support in the available information but may be taken as reliable by whoever receives it.
Identity and access
When the agent's behavior raises doubts about whether established roles and permissions are respected.
Tools and integrations
When the use of available resources needs to be examined against the task and the agent's limits.
Responsible behavior
When bias, toxicity or other inappropriate responses could affect people and undermine trust in the application.
The evaluation focus is set according to the agent and the risks that matter most to your organization.
Know what to review before expanding your agents' autonomy
Related findings are grouped so that different manifestations of the same problem aren't treated as separate issues.
With this material, AI, engineering, security and risk teams can discuss three concrete decisions:
- Which behaviors need investigation or adjustment?
- Are the limits and resources granted to the agent right for its task?
- What needs to be reviewed before expanding its use or autonomy?
The evaluation widens the range of conditions investigated and points human judgment at the behaviors found.
Finding
- Interaction that led to the finding
- Agent response
- Risk analysis
Keep up with your agents' growth with a shared view of risk
Start with a priority agent
You can start with a priority agent and expand evaluations as more areas adopt AI agents.
Widen the view as new agents are evaluated
The risks found stay together on one platform, giving AI, engineering, security and risk teams a view of what needs attention in each initiative.
Frequently asked questions about R/Pulse ARO
What is active validation of AI agents?
It's the evaluation of an agent's behavior through interactions designed to investigate how it responds and acts under different conditions. In ARO, the organization defines the agent and the evaluation focus; the behaviors found are presented for review by the responsible teams.
Does ARO replace operations monitoring tools?
ARO focuses on investigating the agent's behavior through active simulations. Monitoring tools help you understand what happened during use; ARO creates conditions to evaluate how the agent reacts outside the expected paths.
Do I need to evaluate an agent in production?
No. We recommend running the simulations in a controlled environment. The organization defines the agent, the available resources and the evaluation scope according to its context.
Can evaluations be repeated as the agent is developed?
Yes. Evaluations can be integrated into a pipeline for new runs, following the organization's process. Scheduling happens in the pipeline, not in a recurrence setting inside ARO.
Find out where your agents' autonomy needs attention
See how ARO runs an evaluation and presents the behaviors it finds to support your team's decisions.
Book a demo