AI 智能体
数字同事 — 而不是又一个聊天机器人
有岗位说明、有边界、也能关掉的智能体
AI 智能体可以在您的工具中检索、起草、分派或追办后续事项。做得好时，就像聘用一位可靠的初级同事 — 在出错代价高的地方保留人工监督。
谈谈智能体
What an AI Agent actually is
Think of an agent as software that can take multi-step actions toward a goal: gather context, propose a next step, and sometimes complete the step — always inside rules you set. It is not magic autonomy; it is structured help.
Who benefits most
Teams drowning in triage
Support, ops, and sales ops that sort, label, and pass work between systems all day.
Leaders watching agent sprawl
Many tools, no owners. You need agents with clear roles, secrets management, and audit trails.
Builders ready for production
Pilots that worked in a demo now need promotion, monitoring, and safe credentials.
Benefits in everyday language
✓
Throughput without headcount spikes
Handle more tickets, leads, or checks without hiring for every surge.
✓
Fewer dropped balls
Agents remember the next step and chase it — with alerts when a human must decide.
✓
Clear accountability
Each agent has a purpose, owner, and review points — not a mystery script in someone's laptop.
✓
Safer access to systems
Short-lived credentials and vaults so agents do not leave permanent keys lying around.
How Workstation approaches agents
1
Define the job
One clear outcome, success metrics, and what must never be automated without review.
2
Wire the tools
Connect only the systems needed — with secrets, identity, and logging from day one.
3
Supervise and scale
Start narrow, measure quality, then expand — using promotion and ops practices you can trust.
When agents are the right next step
- →You repeat the same multi-step process every day and volume is rising.
- →People spend more time moving information than using judgment.
- →You tried a chatbot and need something that actually completes work — with control.