Process outline
Definition of the task, users, allowed data and situations that require human review.
Implement wizards and automations to query knowledge, triage requests, and support tasks with human review.
A scope built from your process, with deliverables that the team can validate and use.
Definition of the task, users, allowed data and situations that require human review.
Query assistant or triage flow connected to authorized sources and existing process.
Test scenarios, quality criteria, permissions, and behavior in situations with no reliable response.
Failure recording, consumption cost and feedback to decide evolution.
Illustrative example of application; does not represent a measured customer outcome.
The team consults multiple manuals to answer the same operating questions.
An assistant searches authorized documents, indicates references and forwards them to a person when they do not find sufficient support.
Discovery and pilot with acceptance criteria before expanding deployment. Evolution through cycles with review of data and evaluations.
Answers may contain errors. Sensitive actions require authorization and review; Consumption of external models and services scales in scope.
Not always. Many tasks can use existing templates connected to authoritative sources. The architecture depends on the process, data and cost.
No. We define where AI can support, how to evaluate its quality and which decisions remain under human responsibility.
We prioritize a frequent task, with available data, measurable impact and controllable risk. The pilot indicates whether it is worth expanding.
Tell us which process needs to be improved, the systems involved and the company’s current situation. We will analyze the context and respond via email.
Service of interest: AI applied to processes. After the initial analysis, we decide whether the next step is a diagnosis, a pilot or a proposal.
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