AI Governance, Evaluation & Operations

Once an AI system is in production, someone has to know what it did, why, what it cost and whether it is still performing. We set up guardrails on inputs and outputs, audit trails of agent actions, evaluation pipelines that run on every change, monitoring, spend controls and access policies. This applies to systems we build and to systems already running in your organization.

• Guardrail configuration for inputs, outputs and tool calls
• Audit trail of agent actions and decisions
• Evaluation pipeline that runs on model, prompt and code changes
• Monitoring and alerting for quality, latency and cost
• Access policies and an operating runbook

• Access to the AI systems in scope and their logs
• Your security, risk and compliance requirements in writing
• Owners for incident response and policy decisions
• Budget limits and usage expectations