Service
Use intelligence where it makes the work more useful.
We connect retrieval, assistants, extraction and agentic workflows to a measurable operational need—not to a trend.
Good fit
Knowledge work with repeatable questions, high-volume documents, classification or handoffs that benefit from faster context.
Responsible shape
We define sources, permissions, human review, failure states and evaluation criteria before choosing a model or orchestration pattern.
First slice
A narrow workflow with observable inputs and outcomes. If the system cannot be evaluated, it is not ready to be called useful.
What is an applied AI integration?
An applied AI integration connects a model to a defined business workflow, approved information and actions. SapiensTech works on retrieval, assistants, document extraction and agentic workflows with permissions, evaluation and human review designed into the scope.
Which tasks can we evaluate first?
Repeated knowledge questions, document extraction, classification or a narrow assistant workflow. The first scope needs observable inputs, approved sources and clear acceptance criteria.
How are sensitive actions controlled?
We define source access, permissions, approval boundaries and the human review path before choosing a model. We do not assume an assistant should act autonomously on every task.
Can you guarantee correct AI answers?
No model can justify a blanket accuracy promise. We define evaluation criteria, uncertainty handling and failure states for the actual workflow; if the result cannot be evaluated, it is not ready to be called useful.