Knowledge outruns training
Products, policies, and campaigns change faster than frontline alignment.
AI Empowered Customer Service
Inside controlled knowledge and human-review boundaries, use AI to improve consistency, frontline efficiency, and escalation quality — measurable experience, governable risk.
Challenges
Real pressure in service AI
Automation vs trust
Full auto risks errors and complaints; full manual fails at peaks.
Channel fragmentation
Voice, chat, WeCom, and tickets lack shared context — repeats and escalations rise.
Approach
Service intelligence approach
Grade scenarios for automation boundaries, govern knowledge as the source of truth, design human–AI escalation paths.
Scenario & risk tiers
Assist-only, auto-eligible, and must-review types — with brand and compliance red lines.
Knowledge foundation
Authoritative sources, versioning, and evaluation sets to reduce hallucination and staleness.
Assist & escalation loops
Agent assist, draft replies, ticket summaries — with confirmation and QA feedback.
Capabilities
What we deliver
Service knowledge & retrieval
Structured knowledge, retrieval strategy, and update mechanisms.
Agent-assist agents
Suggested replies, summaries, intent, and escalation cues.
Quality monitoring
Sampling, complaint attribution, and knowledge write-back cadence.
Raise service quality inside guardrails
Book Discovery with channels, peak scenarios, and must-review red lines.