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All cases

A provincial telecom operatorTelecom

Frontline service intelligence: speed without sacrificing explainability

Complex plans and policies drove high frontline cost. We started with knowledge and ticket assist — citations, review, and monitoring — not unattended replacement.

Challenge

Frontline load under complex offers

Products, promotions, and regional policies change often; agents rely on personal experience and scattered docs. Customers expect faster answers, but wrong commitments drive complaints and compliance risk.

Approach

Knowledge alignment → assist workflows → quality monitoring

Authoritative knowledge sources

Map official publish channels for plans and policies; the assist system cites only approved content.

Assist, don’t replace

Design agent-side assist and suggested language; keep human confirmation for commitment-class answers.

Quality and feedback loops

Monitor citation hit rate, human edit rate, and complaint feedback into a weekly improvement list.

Outcome

Monitorable frontline assist ops

  • Pilot agent groups use cited assist; critical answers are traceable.
  • Human edits and complaint feedback become product input — not a one-shot launch.
  • Clear assist boundaries; no promise of fully unattended automation to customers.

Capabilities

AI-enabled client serviceAI consultingData platforms

Book Discovery

Share industry and goals — we arrange a reference conversation against similar cases.

Client names are anonymized (e.g. “a national retail group”). Representative cases from company materials are client-authorized and desensitized. We do not invent Fortune 500 logos or unauthorized ROI percentages; outcomes are qualitative results and deliverable forms you can discuss in Discovery.