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Case Studies

Runtime governance outcomes — quantified.

Examples below are anonymized. Metrics are normalized from scoped engagement windows and shared as directional outcomes, not guarantees.

What we measure

  • • Task success rate (pass/fail on representative eval sets)
  • • Policy violations (critical errors by category)
  • • Escalation rate (human interventions over time)
  • • Cost per successful task (tokens + tools + human time)
  • • Time-to-resolution (handle time / cycle time)
Client type: B2B SaaS (Support AI)

Reduced policy violations in a live support agent

Problem: Frequent policy breaches and inconsistent escalations in production.

  • • Built a failure-mode taxonomy and rubric
  • • Added QA gates and escalation triggers
  • • Implemented governance evidence capture

Baseline (14 days): 38 policy violations per 1,000 sessions.

Post (28 days): 21 policy violations per 1,000 sessions.

Measurement method: Weekly evaluation set (n=600 conversations) cross-checked against production incident logs.

Scope: 3 support workflows, 11 intents, chat channel only.

Client type: E-commerce (Chat + Email)

Improved resolution quality for order inquiries

Problem: High variance in answers and repeated human handoffs.

  • • Baseline KPIs across top intents
  • • Hardened responses with deferral rules
  • • Created a tuning backlog tied to KPIs

Baseline (14 days): 62% successful resolution across top 12 order intents.

Post (28 days): 79% successful resolution on the same intent set.

Measurement method: Intent-level pass/fail rubric with blinded reviewer QA sample (n=480 sessions).

Scope: Chat and email assistant workflows for order status, returns, and exchanges.

Client type: Regulated Services (Governance)

Governance-ready controls for launch approval

Problem: Risk team required evidence of controls before production launch.

  • • Mapped risks to controls
  • • Documented eval methodology and audit trail
  • • Defined escalation policies with SLA

Baseline (pre-engagement): 61% control coverage against launch checklist; sign-off cycle averaged 21 days.

Post (3 weeks): 96% control coverage; sign-off cycle reduced to 6 days.

Measurement method: Compliance gap-map scoring against agreed control matrix plus risk committee timestamp review.

Scope: 1 production assistant, 27 mapped controls, regulated service workflow.