Deflection bots that don't deflect customers.
Every percentage point of deflection you gain is worthless if the bot frustrates the customers it fails. Obsivara watches your support AI the way you watch your agents: response quality, escalation accuracy, resolution cost, and the exact conversations where the bot went wrong.
What customer support teams are up against.
Bad bot sessions are invisible
Your deflection rate looks great, but the sessions where the bot loops, stonewalls, or invents a refund policy never make it into a dashboard — they make it into churn and one-star reviews.
AI failures hit CSAT before you see them
A model update or prompt change can quietly degrade answer quality across thousands of conversations. By the time CSAT reflects it, you've had a bad week you can't get back.
Cost per resolution is a black box
Between model calls, retries, and escalations that shouldn't have happened, nobody can say what an AI-handled ticket actually costs — or whether the automation is cheaper than the humans it replaced.
Where Obsivara goes to work in customer support.
Deflection bot health scoring
A continuous 0–100 health score for every support bot, combining resolution rate, escalation accuracy, latency, and error patterns — with alerts the moment quality drifts.
Failed-conversation replay
When a customer complains about the bot, replay the exact conversation — every prompt, every model response, every tool call — and see precisely where it went wrong.
Escalation accuracy monitoring
Track when the bot should have escalated but didn't (and vice versa), so automation handles what it's good at and hands off the rest before customers rage-type 'AGENT'.
Cost-per-resolution economics
Attribute model spend to conversations and outcomes. Know what an AI resolution truly costs versus a human one, per queue and per intent.
The features that matter most for customer support.
Support conversations are full of personal data — names, order histories, payment details — flowing through your bot into model APIs. Obsivara inventories exactly which data reaches which provider, monitors for sensitive content in prompts, and keeps complete conversation records, so GDPR and CCPA obligations around customer data are met by design rather than discovered by breach.
Questions
Obsivara assigns a continuous health score to every support bot combining resolution rate, escalation accuracy, response latency, and error patterns. When quality drifts, you get an alert immediately — not in the next CSAT survey cycle. You can also replay any flagged conversation step by step to diagnose exactly where the bot failed.
Yes. Obsivara traces every model call within a support conversation and attributes spend to the ticket, queue, and intent category. You can compare the actual cost of an AI resolution versus a human handoff — per queue and over time — giving your operations team real unit economics rather than vendor-quoted deflection rates.
Support conversations routinely contain names, order histories, and payment details. Obsivara inventories exactly which data fields reach which external model providers, monitors prompts for sensitive content, and keeps complete conversation records. This supports your obligations under GDPR and CCPA for customer personal data processed through AI tools.