Three levels ofintelligent automation
Not every problem needs a complete agent. Sometimes a simple chain is perfect. We build what you actually need — nothing more, nothing less.
Chains
Reliable automation
For predictable processes with clear steps. The AI intervenes only where human judgment is needed. The rest is deterministic: if X, then Y. No surprises.
Ideal when:
When the process is repetitive, steps are known, and errors are costly.
What you get
- Eliminate repetitive manual tasks
- Total consistency in execution
- Errors reduced to minimum
- Your team free for higher value work
Examples
- Email arrives → data extracted → CRM updated → response sent
- Document received → key info identified → summary generated → team notified
- Form completed → validation → database record → automatic confirmation
Routers
Intelligent routing
For processes that depend on input type. The system analyzes, classifies, and routes to the correct flow. Each path has its own optimized process.
Ideal when:
When you have multiple request types, each with its own process.
What you get
- Faster and more precise responses
- Each case treated with the right process
- Scale without growing the team
- Structured data on request types
Examples
- Customer query → classification (support/sales/billing) → routed to specific process
- Incoming lead → automatic qualification → if qualified, to sales; if not, to nurturing
- Legal document → type identification → specific field extraction by type
Agents
Autonomous systems
For complex problems requiring planning and adaptation. The agent doesn't just execute — it thinks. Plans steps, executes, evaluates, adjusts. Manages its own memory. Knows when to act and when to ask.
Ideal when:
When the task has variable steps, requires judgment, or the outcome depends on what's discovered along the way.
What you get
- Capacity that previously required a full-time employee
- Consistency in tasks requiring judgment
- Scale without time limits
- System that learns your preferences
- Total control over critical decisions
Examples
- Lead research: find info, qualify by criteria, prepare personalized proposals
- Market analysis: gather data from multiple sources, synthesize, generate reports
- Sales assistant: manage pipeline, prepare meetings, personalized follow-up