AI governance framework
Establish responsible automation with clear accountability, transparent decisions, and proactive monitoring. This framework helps your team scale AI safely.
Accountability
Every automated action must have a human owner. PowerAgento logs approvals, overrides, and reasoning traces to keep teams accountable.
Transparency
Surface the data sources, prompts, and policies behind each agent decision. This builds trust with stakeholders and regulators.
Safety
Guardrails restrict actions by scope, data sensitivity, and escalation rules. Continuous monitoring flags anomalies before they escalate.
Catalog workflows
List every workflow that involves autonomous agents. Document inputs, outputs, data sensitivity, and the business objective.
Identify compliance classifications (public, internal, confidential) to align guardrails with regulatory requirements.
Design guardrails
Attach approval policies, rate limits, and exception paths to each workflow. Pair each agent with a human reviewer responsible for the outcome.
Use PowerAgento's policy templates to codify retention, redaction, and audit logging expectations.
Monitor & iterate
Review agent analytics weekly: completion rates, escalations, and override reasons. Feed learnings back into prompt libraries.
Update governance policies as your organisation scales and new regulations appear. Treat the framework as a living document.