Take LLMs beyond chatboxes, into your business systems
Your core data and workflows are locked in OA, ERP, finance, and approval systems. FIM One lets LLMs securely read and write to these systems and automate cross-system workflows — no architectural changes needed. Start with one system, then scale to full-domain orchestration.
Why Choose FIM One
The biggest barrier to enterprise AI adoption isn't model intelligence — it's that AI can't reach core business systems.
Zero-Modification System Integration
Import your system's API docs to auto-generate AI-callable tools; or describe your needs via AI conversation to create connections automatically. No custom development, no waiting on vendors.
Intelligent Task Orchestration
Agent auto-decomposes complex tasks, runs multiple steps in parallel, and self-checks upon completion — automatically adjusting and retrying when goals aren't met. One engine covers everything from fixed workflows to open-ended analysis.
Human Approval Before Sensitive Operations
For high-risk operations like data modifications or approval initiations, the system auto-pauses and sends confirmation requests via Feishu or DingTalk. Execution continues only after human approval, with full audit trail.
Private Deployment, Data Stays On-Premise
Run the complete platform in a single process with no additional infrastructure. Supports deployment on local servers and air-gapped networks, meeting data compliance requirements for government, finance, and healthcare.
What Can You Do After Connecting Your Systems
Information Aggregation
Contracts in OA, approvals in DingTalk, ledgers in Excel. Checking one matter used to mean logging into three or four systems. Now Agent auto-aggregates across systems and delivers complete results directly.
Workflow Automation
System A detects an issue → System B creates a ticket → System C notifies the responsible person. What used to require manual data transfer and follow-up across systems is now fully orchestrated end-to-end by Agent.
Intelligent Judgment
More than just moving data. Agent leverages LLM reasoning for analysis, comparison, and risk identification — like auto-referencing regulation databases during contract review and suggesting amendments with citations.
FIM One in Different Scenarios
Legal & Compliance
Before
Contract review requires switching between document libraries, approval systems, and group chats, taking days to complete.
After
Agent auto-extracts clauses, compares historical versions, flags risks, and triggers approvals — fully traceable throughout.
IT Operations
Before
Handling a single alert involves manually checking across four or five systems, taking at least an hour.
After
Agent auto-pulls logs, analyzes root causes, and pushes diagnostic conclusions with action buttons via Feishu.
Business Operations
Before
Daily manual data exports, spreadsheet processing, and screenshot-sharing in group chats. Ad-hoc queries require manual calculation.
After
Agent generates scheduled data summaries pushed to group chats, with natural language instant queries supported.
Developer
Before
Integrating authentication, retries, and adapters for three systems could take a month of development.
After
Import API docs or use AI conversation — create a connector in 10 minutes with auto-generated Agent tools.
Visual Operation, Code-Level Flexibility
Developer View
from fim_one import Agent, tools
agent = Agent(
name="Contract Review",
model="deepseek-chat",
tools=[
tools.feishu.read_doc(),
tools.mysql.query(),
tools.oa.submit_approval(),
],
mode="react",
human_approval=True,
)
agent.run(trigger="feishu_webhook")Open Connector Ecosystem
Natively supports mainstream office collaboration, data infrastructure, and LLM APIs. Import API docs or use AI conversation to quickly wrap any system into an Agent tool.