## Quick answer

DDN designs AI automation around specific workflows such as intake, support, qualification, scheduling, CRM updates, and reporting.

We build AI-enabled experiences that support intake, support, scheduling, reporting, and repetitive communication.

## Guardrails before automation

Useful AI needs clear limits, escalation rules, and human handoff. We define what the system can do, what it should never do, and where a person takes over.

## Connected to the business system

AI becomes more valuable when it updates the right records, notifies the right people, and gives the team cleaner context for follow-up.

### What is included

- AI assistant planning
- Voice and chat flows
- Workflow automation
- CRM or form integrations
- Human handoff logic

### How we approach it

1. Pick a high-friction workflow  
2. Define what AI can and cannot do  
3. Design the conversation  
4. Connect the right systems  
5. Test with real scenarios

## Proof from the portfolio.

**Maine Cannabis Coalition**  
  
**CareTalk AI**  
  
**SeedSync**

## Common questions before starting.

### What business processes are good candidates for AI automation?

Lead intake, appointment routing, support triage, repetitive questions, CRM updates, status summaries, and internal knowledge workflows are strong starting points.

### Can AI answer every customer question?

No. We design AI to handle defined scenarios and route sensitive, complex, or uncertain cases to a human.

### Can AI automation work with existing forms?

Yes. Existing forms can trigger routing, summaries, CRM updates, notifications, and follow-up workflows.