Accuracy sampling
AI outputs sampled daily and scored against ground truth and source KB.
AI agent monitoring — accuracy sampling, hallucination detection, tone checks, policy compliance and human-in-the-loop review — so AI agents stay reliable at scale.
AI agents drift. Prompts that worked at launch degrade as your product, policies and knowledge base evolve. Hallucinations, off-brand tone, policy violations and silent inaccuracies creep in — often without anyone noticing until a customer or auditor does.
Opervics runs AI agent monitoring as a managed function — accuracy sampling, hallucination detection, tone and policy checks, escalation-rule verification and human-in-the-loop review — so AI agents stay reliable as volume scales.
AI outputs sampled daily and scored against ground truth and source KB.
Unsupported claims flagged, logged and routed for correction.
Off-brand, aggressive or inconsistent replies flagged with examples.
Outputs checked against compliance, legal and prompt-safety rules.
Confirm AI hands off when it should — and doesn't when it shouldn't.
Accuracy score, hallucination rate, policy flags and CSAT impact.
These are the same operational issues we see across clients — and the same ones our process is designed to remove.
AI agents launched once — no one reviews outputs after launch.
Confident wrong answers reach customers before anyone notices.
AI replies get off-brand or robotic as prompts evolve.
Policy violations in AI output go unnoticed until audit or complaint.
AI doesn't hand off when it should — or escalates too often.
Nobody knows accuracy, hallucination rate or CSAT impact.
Every service inherits the same baseline security posture, then adds service-specific controls on top.
Access, change management, monitoring and incident response aligned to SOC 2.
PII handling, redaction and prompt-safety rules defined with your team.
Every sampled output reviewed by trained specialists.
Accuracy score, hallucination rate, policy flags and CSAT reported weekly.
Accuracy sampling, hallucination detection, tone and brand checks, policy compliance review, escalation-rule verification and human-in-the-loop correction.
OpenAI, Anthropic, Google, open-source models and custom-built AI agents — plus their integrations with support tools.
Both — we flag issues, provide corrected examples, and support prompt, KB and rule adjustments with your team.
Sampled outputs are scored against your knowledge base, policies and ground truth — with scores trended over time.
Accuracy score, hallucination rate, policy flags, escalation accuracy and CSAT impact — reported weekly.
Per AI surface, per volume band, or as a monthly retainer — agreed upfront.
A short conversation is usually enough to scope the AI surface and propose a starting point.