Gradual Policy Rollout for AI Agents

Deploying a policy change to all agents simultaneously is a high-risk operation. If the new policy contains an error, every agent is affected at once. Gradual rollout reduces this risk by exposing the new policy to increasing portions of traffic over time, with automated checks at each stage.

Rollout Stages

A typical gradual rollout follows these stages:

Shadow evaluation (0% enforcement): The new policy evaluates every action alongside the current policy, but only the current policy's decision is enforced. Log differences between the two policies for analysis.

Canary (1-5% enforcement): Activate the new policy for a small subset of agents or requests. Monitor closely for unexpected behavior.

Limited rollout (10-25%): Expand to a larger subset. Continue monitoring. At this stage, you should have enough data to detect most issues.

Broad rollout (50-90%): Deploy to the majority of traffic. The remaining traffic on the old policy serves as a baseline for comparison.

Full rollout (100%): Activate for all traffic. Retire the old policy version but keep it available for rollback.

Rollout Criteria

Define criteria that must be met before advancing to the next stage:

rollout_criteria:
  shadow_to_canary:
    max_decision_divergence: 0.02
    min_duration: "24h"
  canary_to_limited:
    max_error_rate: 0.001
    min_duration: "48h"
  limited_to_broad:
    max_false_positive_increase: 0.01
    min_duration: "72h"

Automated Advancement

Automate stage advancement based on the criteria. If metrics are within bounds after the minimum duration, advance to the next stage automatically. If any metric exceeds its threshold, halt the rollout and alert the policy team.

Rollback at Any Stage

At any stage, rollback should be immediate. Set the active policy back to the previous version for all traffic. The gradual rollout infrastructure should support one-command rollback regardless of the current stage.

Observability During Rollout

Instrument each stage with detailed logging. Tag all policy evaluations with the rollout stage and policy version. This tagging enables precise analysis of how the new policy behaves at each rollout percentage.

Gradual rollout is not optional for production safety policies. It is the difference between a controlled change and a gamble.