Customer Service Copilot
Knowledge, customer context, assisted answers and escalation connected in one support flow.

Implementation snapshot
DELIVERED
Agent assist · Knowledge grounding
Integrated
KORIA · CRM · Ticketing · Email & chat
Proven impact
Average response time
Answers with sources
BEFORE
The initial challenge
Teams moved between CRM, tickets and documentation to answer, creating delays and inconsistent responses.
DELIVERED
The implemented solution
Agents were given grounded answers, customer context and a next action while retaining human control.
Question-to-resolution-to-learning
Implemented process
Request
Channel and context
Classification
Intent and priority
Answer
KORIA + sources
Validation
Human agent
Resolution
CRM and follow-up
SOLUTION
The delivered system
Agent assist
Suggests answers and actions using customer context and approved knowledge.
Knowledge grounding
Shows sources and respects permissions and content validity.
Smart routing
Routes cases by intent, risk, language and SLA.
Learning loop
Turns feedback and failures into content and process improvements.
PLUG
Implemented architecture
Models · Rules · Agents · Audit
VALUE
Results achieved
Average response time
–30%
Manual response
Answers with sources
>95%
Inconsistent citation
First-contact resolution
+20%
Frequent handoff
Agent adoption
>80%
No copilot
CONCEPT · PLUG · PLAY
How it was implemented
Conversations and knowledge
Top intents, sources, risks and baseline
Integrated copilot
KORIA, CRM, answers and routing
Assisted operation
Evals, enablement and continuous improvement
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