Enterprise AI Agent

Build AI agents into real enterprise workflows.

We do more than chatbots. We help teams define use cases, design agent tasks, build RAG knowledge flows, connect tools and APIs, add approval gates, log every action, and tune after launch.

Agent Console
tool calling / approval / observability
Current task
Analyze a support ticket and create a follow-up task
RAG hit
CRM query
Approval
High-risk action paused: waiting for owner approval.
Agent Architecture

We design agents as engineering systems, not only chat surfaces.

input

Entry and intent

Web, WeCom, Feishu, Slack, or internal tools with clear context capture.

account_tree

Task planning

Decide whether to retrieve, call tools, draft a recommendation, or request approval.

hub

Tool integration

Connect knowledge bases, CRMs, tickets, spreadsheets, admin systems, and APIs.

fact_check

Approval and logs

Human approval for risky actions, audit logs, fallbacks, feedback loops, and tuning.

Capability Matrix

Common enterprise agent scenarios, from pilot to production.

Support and ticket agent

Classify requests, answer from knowledge, assign priority, create tickets, and escalate.

Sales lead agent

Summarize accounts, clarify needs, suggest follow-ups, and sync CRM records.

Internal knowledge agent

Permission-aware Q&A, source citation, fallback behavior, and feedback capture.

Operations workflow agent

Read spreadsheets and admin data, explain exceptions, draft reports, and create tasks.

Delivery agent

Break down requirements, summarize meetings, generate tasks, and surface risks.

Document and code copilot

Internal document search, API explanation, onboarding support, and handoff assistance.

Technology and Integration

Agents should connect to existing enterprise systems.

We choose implementation paths around the client's current architecture. The priority is controlled data access, reliable tool calling, and admin configuration.

LLM API / multi-model routing
RAG / Vector Database
MySQL / PostgreSQL / MongoDB
REST API / Webhook
WeCom / Feishu / Slack
Prompt versions and tool switches
Admin Management

Enterprises need to manage agents, not only call them.

Knowledge sources

Maintain document sources, sync state, permissions, and freshness.

Audit logs

Track user requests, retrieved context, tool calls, failures, and approvals.

Prompt and version control

Configure prompts, tool switches, staged tests, and rollback paths.

Agent Readiness Assessment

Start with an assessment of where agents can create value.

We assess workflow repetition, data availability, integration conditions, human approval points, ROI potential, and the first pilot scope.

Book assessment