AI Agent Observabilityv1.1.0

A bank uses AI agents to process loan applications and generate reports. This skill ensures agents stay within authorized data access boundaries, providing audit trails for regulatory compliance and preventing unauthorized tool usage that could lead to fines.

An online retailer deploys agents for handling customer inquiries and order tracking. This skill monitors cost attribution per task to identify waste from retries or hallucinations, directly improving profit margins by reducing unnecessary API spend.

A hospital integrates agents to assist with diagnostic suggestions and patient data analysis. This skill focuses on output quality validation to detect errors in clinical accuracy, ensuring patient safety and reducing liability from incorrect recommendations.

A software company runs agents for automated customer onboarding and support across multiple clients. This skill emphasizes fleet coordination to monitor handoffs between agents, preventing data leaks and ensuring isolated, reliable workflows for each tenant.

A factory uses agents to control robotic systems and monitor equipment. This skill prioritizes failure recovery to detect agent failures in under 5 minutes, minimizing downtime that halts production lines and maintains operational efficiency.

Offer tiered monthly plans based on the number of agents, providing dashboards, alerts, and health scores. Revenue scales with client fleet size, targeting businesses with 1-100+ agents to reduce waste and improve reliability.

Provide one-time setup and customization services, including the 90-day roadmap deployment and industry-specific adjustments. Revenue comes from project fees, ideal for companies needing tailored observability solutions.

Charge a percentage of the cost savings identified from monitoring, such as reduced API waste or improved efficiency. Aligns incentives with client success, appealing to cost-sensitive industries like e-commerce and professional services.