AI-assisted response drafting
Draft replies generated from your templates, docs and context.
AI drafts, routes and prioritises responses; trained agents verify, personalise and send. Not a chatbot. Not full automation. A managed AI workflow with human judgment at the decision points.
AI customer support is often sold as full automation — deploy an AI, remove your agents, watch costs drop. In practice, that model breaks on anything nuanced, edge-case or relationship-sensitive. Customers notice. Quality drops.
Opervics runs AI customer support as a managed workflow: AI drafts responses, routes tickets, detects priority and surfaces issues — and trained human agents verify, edit, personalise and send every message. No blind automation. No "AI replied and it was wrong" moments.
Draft replies generated from your templates, docs and context.
AI-assisted classification with human oversight on the queue.
Trained agents review, edit and approve every response before sending.
Documented sampling with error rates and correction turnaround.
Draft acceptance rate, edit rate, and quality trends.
Works with all major AI providers and your existing helpdesk.
These are the same operational issues we see across clients — and the same ones our process is designed to remove.
AI replies sent without human review — quality drops fast.
AI confidently invents product details or policies.
AI responses that don't match your voice.
Nobody measures whether AI answers are actually correct.
AI can't decide when a human should take over.
No reporting on AI performance, draft acceptance, or quality trends.
Every service inherits the same baseline security posture, then adds service-specific controls on top.
Encryption in transit and at rest, role-based access, and least-privilege workflows across every account.
NDA-bound teams, restricted environments, and auditable access logs for regulated services.
AI output is reviewed by trained specialists before it reaches your systems — no blind automation.
Service-specific SLAs, tracking, and audit-ready reporting from day one.
AI drafts suggestions; trained human agents verify, edit and send every message. Human judgment is final.
All major providers — OpenAI, Anthropic, Google — and open-source models, integrated into your existing helpdesk or CRM.
Documented QA sampling on every queue, with draft acceptance rate, edit rate, and error rates reported weekly.
AI output is reviewed before sending — hallucinations don't reach customers. Errors that slip through are logged and fed back into prompt and workflow tuning.
No. It changes how they work — AI accelerates the drafting and routing; humans handle judgment, tone and exceptions.
Per FTE, per ticket, or as a monthly retainer — agreed upfront.
A short conversation is usually enough to scope the process and propose a starting point.