Customer Service & Success
AI Customer Service
Resolve common questions from trusted knowledge, then hand complex issues to people with full context.
Connect multi-channel inquiries, knowledge retrieval, cited answers, confidence, human handoff, tickets, and service analysis with explicit AI and human ownership.
Discuss the scopePriority queues, context, and handoff
Composed around your scope
Reference operating scenario
Typical objects, ownership, and next actions explain how this system works; this is not a live product.
Current conversation
Assisted resolution
Resolve common questions from trusted knowledge, then hand complex issues to people with full context.
Suggested replies require knowledge sources; low confidence hands off to a person.
Fields, access, and integrations are confirmed per project
Does this sound familiar?
01
Support volume keeps rising, and agents spend too much time answering the same questions.
02
Service knowledge is scattered across documents and chats, so new agents struggle to give consistent answers.
03
Customers cannot see request, document, or delivery status and must repeatedly ask through messages.
What can change?
Customers get faster sourced answers and agents receive full context at handoff.
- Lower the cost of repetitive questions
- Improve the quality of complex handoffs
Evidence and boundaries
SoloCore Product
SoloCore WebUI
A live enterprise AI workspace for multiple models, files, knowledge bases, and assistants.
Enterprise permissions, proprietary workflows, and business data integrations are scoped per organization.
Client Case
SNAPOP / LinkinPro
A multi-tenant content operations system connecting company knowledge, market signals, Wiki, creation, review, and publishing preparation.
Some external collection, video generation, and platform publishing capabilities require customer credentials and platform-specific acceptance.
How it works
01
Omnichannel intake
Identify the customer, intent, and existing service relationship.
02
Knowledge answer
Generate cited answers from permitted knowledge.
03
Human handoff
Transfer low-confidence or high-risk issues with full context.
04
Service quality
Record resolution, feedback, gaps, and knowledge updates.
Business systems
Related capabilities
Reusable modules
Knowledge ingestion
Versioned, structured knowledge assets
Permission-aware retrieval
Governed retrieval results and access audit
Cited assistants
Cited answers, confidence cues, and feedback entry points
Orders, inventory, and tickets
States, assignments, exceptions, and fulfillment records
Workflow orchestration
Observable runs, stage artifacts, and completion states
What we can build
01
Channel, conversation, and ticket model
02
Permission-aware knowledge and cited answers
03
Human handoff, quality evaluation, and service analytics
Example system
AI Customer Service CenterThe reference build makes business objects, states, and workflow visible; it is not presented as client work.
Service queue
Concept Preview
Active
Identify the customer, intent, and existing service relationship.
Repetitive questions consume agent time while bots and people lack shared context.
Customizable to business boundaries
Start from the current problem, without choosing technology first.
Share the current state, roles, available data, and first required outcome; we will define the reuse, integration, and custom boundary.