Agentic AI Evaluation & Workflow Validation, treated as an engineered data discipline.
This service is designed for teams developing AI agents, copilots, autonomous workflows, and tool-using LLM systems that require measurable reliability, traceability, and human oversight at production scale. Where the program benefits from custom scenario tooling, Argos Data configures Myriad's specialized tools for the specific test cases, tool-use checkpoints, and failure-mode scenarios the agent needs to be validated against.
Where Agentic AI Evaluation & Workflow Validation is applied.
Why Agentic AI Evaluation & Workflow Validation delivers in production.
AI agents introduce new failure modes that traditional model evaluation does not surface: planning errors, tool misuse, unsafe escalation, recovery failures, and inconsistent task completion across multi-step workflows. Without structured validation, these risks remain hidden until they affect users, operations, or business outcomes.
Argos Data operationalizes agent evaluation through controlled scenarios, calibrated reviewers, error taxonomies, and repeatable validation processes. We define test cases, tool-use checkpoints, failure-mode scenarios, and adjudication rules before evaluation begins. For global agentic systems, multilingual and regional review is layered in where agents interact with users across markets or make decisions that depend on local context.
For enterprise AI teams, this connects agent evaluation directly to production readiness, identifying where agents succeed, where they fail, and what data is needed to improve performance before scaling.
Outcomes that move from pilot to production.
Agentic AI Evaluation & Workflow Validation helps enterprise AI teams improve the reliability, safety, and production readiness of agentic AI systems. The result is structured, human-reviewed evidence of agent behavior across real-world workflows, reduced operational risk, earlier identification of failure modes, and stronger confidence before agents are deployed at scale.
From pilot to production.
Share your model objective, language coverage, and quality requirements. A member of our team will follow up to scope a structured, human-in-the-loop data program.