Enterprise Validation for Autonomous AI Agents
Ensure your AI agents act correctly, make reliable decisions, and operate safely — before and after deployment.
What We Do
Modern AI agents don't just respond — they decide, act, and execute across systems.
Maeris provides a structured validation layer that evaluates agent decisions, actions, and outcomes across real workflows — ensuring reliability, safety, and operational confidence at scale.
Every response, decision path, and system action is tested, scored, and monitored continuously — so failures are detected before they impact customers, operations, or trust.
Real-Time Agent Insights
Monitor agent performance, decision quality, and behavioral consistency through comprehensive dashboards.
Core Capabilities
Decision Validation
Evaluate whether the agent made the correct decision, not just a correct response. Detect hallucinations, logic errors, unsafe actions, and workflow failures.
Cross-System Evaluation
Validate agent behavior across Email, Chat, Jira, Slack, Calendar, Docs, and internal tools — in real execution environments.
Continuous Performance Monitoring
Track agent quality, decision accuracy, and behavioral drift over time. Get alerted when performance degrades or risk increases.
Operational Feedback Loop
Receive structured, actionable insights to improve agent prompts, logic, guardrails, and execution reliability.