SOLUTION
AI automation
AI automation uses machine learning inside a defined workflow when the work requires understanding unstructured information such as emails, documents or free-form requests. Secuenzia surrounds that interpretation with rules, validation and human review.
Typical problems
- 01Incoming information cannot be handled with a fixed field or simple rule.
- 02Teams repeatedly read, classify, summarize or reformat similar material.
- 03An AI prototype exists, but it lacks reliable actions, permissions and exception handling.
What can be automated
- 01Classify intent and route incoming work.
- 02Extract fields from documents and compare them with required information.
- 03Prepare summaries or drafts, detect omissions and pass structured results into other systems.
Example workflow
- 01An email and attachment arrive.
- 02AI identifies the request and extracts relevant facts with confidence values.
- 03Software validates required fields and applies business rules.
- 04Low-confidence or sensitive cases go to a person.
- 05Approved structured data updates the business system and triggers the next step.
Where AI may be used
AI performs only the interpretation layer. Models, prompts and confidence thresholds are selected for the actual information and risk involved rather than treated as a universal answer.
Where people stay in control
People can review source material beside the AI output, correct it and approve any consequential action. The workflow can stop safely when a model is uncertain or unavailable.