Solution

AI Assistant Delivery

Build AI assistants that connect knowledge, channels, and operations.

Deliver an assistant system that teams can actually operate

From audience design and knowledge policy to embedded channels and operations, create assistants with long-term service depth.

Starting Problem: Scattered channels, difficult knowledge updates, tenant isolation complexity, and weak optimization loops
Implementation Focus: Audience design, knowledge access, channel delivery, operations analytics, and safety governance
Delivered Result: An assistant service model with knowledge policy, channel coverage, and operating feedback loops

Assistant capability stays inside a chat box

Without website, app, or internal-system delivery, assistants struggle to create real business value.

Knowledge and permissions are hard to manage

Knowledge refresh, tenant isolation, and role policy are not designed as one operating system.

No operating loop after launch

Satisfaction signals, hot questions, abnormal answers, and conversation logs are not reviewed consistently.

Discovery

Clarify who the assistant serves, what it should answer, and which knowledge and rules it can use.

Design

Configure assistant roles, tenant boundaries, and multi-channel delivery so the service can reach real users.

Operate

Use conversation analysis, feedback handling, and safety policies to improve quality over time.

Define the relationship between models, knowledge, channels, tenants, and operations.

Create a sustainable way to manage documents, FAQs, and business materials.

Deliver concrete handling rules for logs, satisfaction, sensitive content, and abnormal answers.

Website and service-assistant projects

Enterprises that want a unified external service and consultation entry point.

Internal knowledge assistants

Programs combining organizational knowledge with employee identity and workflow access.

Multi-tenant SaaS products

Teams that need tenant isolation, permission control, and embedded delivery.

Operate many assistants on one foundation.

Core Deliverables

Assistant service architecture：Define the relationship between models, knowledge, channels, tenants, and operations.
Knowledge refresh mechanism：Create a sustainable way to manage documents, FAQs, and business materials.
Conversation operations and safety policy：Deliver concrete handling rules for logs, satisfaction, sensitive content, and abnormal answers.

Best Fit

Website and service-assistant projects：Enterprises that want a unified external service and consultation entry point.
Internal knowledge assistants：Programs combining organizational knowledge with employee identity and workflow access.
Multi-tenant SaaS products：Teams that need tenant isolation, permission control, and embedded delivery.

Define your assistant architecture.