Solution 02 · Intelligent Automation with AI Applications
AI Automation and Custom Software Development
Processes that decide and escalate the exception, plus a proprietary application when no off-the-shelf tool is enough.
Who is it for?
The same bottleneck looks different depending on the role:
The process with an embedded application
What's included
This is the scope of the automation, organized in phases:
| Entregable | Description | Stage |
|---|---|---|
| Target process design | Flow, decision rules and human control points. | Phase 1 |
| Agents and copilots in production | Automation deployed over existing systems. | Phase 2 |
| Custom application | Proprietary software with AI at its core, when the process demands it. | Phase 3 |
| Exceptions and escalation | A defined path for when a case exceeds the agent's rules. | Deployment |
| APIs and integrations | Interoperability with CRM, ERP, BI and systems already running. | Close |
| Observability and dashboard | Volume, exception rate, savings and output quality. | Close |
What the result looks like
These are the changes that hold up in the operation, not campaign promises:
- The process decides and classifies without waiting on a person.
- The exception escalates to someone, instead of sitting in a queue.
- The custom application fits the process, not the other way around.
Combines with
Combines with AI Asset, AI Visibility and AI Enablement.
We build a business asset that transforms the operation