مواد پر جائیں

Customer support

حوالہ جاتی نمونہ

First response in under a minute, without a confidently wrong answer

A support agent that resolves routine tickets end to end through narrowly scoped tools, states its confidence before acting, and escalates rather than guessing.

<60sfirst-response time

ایک نظر میں

مدت
17 ہفتے
ٹیم کا حجم
1 فرد
معاہدے کی نوعیت
نئی تعمیر
پروجیکٹ کی قسم
اے آئی اور آٹومیشن
شعبہ
B2B SaaS

صورتحال

مسئلہ

Routine tickets — order status, refunds, password resets — consume the same triage attention as complex ones. But an agent that is occasionally confidently wrong damages customer trust more than a slow human queue does, so autonomy had to be earned rather than assumed.

ہم نے کیا کیا

Narrow the tools, enforce the limits in code, and make escalation the default whenever confidence is low.

وہ فیصلے جو اہم تھے

  • Tool-scoped access, not system access

    Order lookup, account lookup, refund issuance with a hard cap, ticket updates, escalation — each validated in code independent of the model's reasoning. The limits are not instructions the model can talk itself out of.

  • Confidence stated before consequences

    The agent declares confidence before any consequential action, and anything below a calibrated threshold escalates automatically instead of proceeding.

کیا بدلا

of tickets auto-resolved
68%of tickets auto-resolved
first-response time
<60sfirst-response time
escalation accuracy
96%escalation accuracy
customer satisfaction
+22%customer satisfaction
  • 68% — no human involvement
  • <60s — down from over four hours
  • +22% — post-rollout

68% of tickets resolved without a human, first response under a minute instead of four hours, 96% escalation accuracy and a 22-point satisfaction improvement.

استعمال شدہ خدمات

  • Tool-scoped support agent with code-enforced limits
  • Confidence-based escalation and human handoff
  • Full reasoning and tool-call audit trail

ہم کیا مختلف کرتے

ہر منصوبے میں ایسی ایک بات ہوتی ہے۔ اسے شائع کرنا ہی اصل نکتہ ہے — جس کیس اسٹڈی میں کوئی پچھتاوا نہ ہو وہ ثبوت نہیں، تشہیر ہے۔

The valuable engineering was not the reasoning quality, it was the tool design and the hard limits enforced outside the model. Starting with conservative thresholds and relaxing them against real evaluation data is what made it deployable.

شروع کرنے کے لیے تیار ہیں؟