Skip to content
AI SYSTEM — Artificial Intelligence
deen

System 02 · Workflows

Automation & AI agents

AI agents combine language understanding with tools, rules and approvals to handle multi-step tasks in a controlled way.

Individual manual steps become a transparent, supervised workflow.

Discuss a use case

Typical starting point

  1. Information is copied between email, CRM and specialist systems.
  2. Multi-step routine work ties up qualified employees.
  3. Automations fail on exceptions or lack of control.

What the system does

  • Understand, plan and split tasks into steps
  • Use existing APIs, databases and tools
  • Observe binding rules, limits and approvals
  • Log every step and escalate exceptions

Best cases

Specific applications instead of abstract promises.

Agents are strongest when several systems and decisions interact.

01

Qualify enquiries

Situation
Incoming requests must be read, classified and routed.
System
The agent recognises intent, adds context and proposes the correct route.
Outcome
Faster initial handling with clear human approval.
02

CRM updates

Situation
Conversation notes and status changes are entered late.
System
The agent prepares structured updates and checks required fields.
Outcome
Fresher data and less manual transfer.
03

Multi-step research

Situation
Information must be gathered and compared across several sources.
System
The agent performs defined search and verification steps and documents them.
Outcome
Reproducible outcomes instead of opaque individual work.

Workflow

How the system works

Not four isolated phases but one continuous path: every step passes context, responsibility and measurable quality to the next.

  1. 01

    Capture the request

    The objective, context and permitted actions are defined.

    Defined step
  2. 02

    Plan steps

    The agent breaks the task into controllable actions.

    Defined step
  3. 03

    Use tools

    APIs and systems are accessed within defined permissions.

    Defined step
  4. 04

    Review & approve

    Critical outcomes go to a person or rule-based check.

    Defined step

Control remains in the system.Every handoff is visible, reviewable and extensible.

  • Data
  • Approvals
  • Audit trail
  • Quality

Impact

Measurable impact

Good agents are measured by process quality and control.

↓Cycle time
Time from request to a usable result.
↓Manual hand-offs
Unnecessary switches between people and systems.
↓Error rate
Corrections caused by missing or incorrectly transferred data.

Background in the AI Wiki

Terms related to this AI solution