Use case and data review
We define the task, available information, privacy requirements and a measurable baseline.
KAYRO / SERVICES / 03
Assistants and agents connected to real business work.
Discuss your project01 / THE CONTEXT
AI is useful when a defined task needs interpretation, retrieval or assistance and its output can be checked. We examine the data and the cost of mistakes before selecting an approach.
We design chatbots, knowledge assistants and task agents for defined business workflows. Access to tools and data, evaluation, escalation to people and operating limits are part of the design.
We define the task, available information, privacy requirements and a measurable baseline.
We test representative cases, record failures and compare AI with simpler automation where appropriate.
We connect approved knowledge and tools to agents or chatbots, with scoped actions and a clear path to a person.
Validation, permissions, logging, fallback paths and human review are designed for the level of risk.
03 / KEY DECISIONS
Scope follows the real context. We clarify these points before committing time to development.
Which data may reach a provider, where it is stored and who can access it.
What an acceptable answer looks like and when the system must defer to a person.
Expected volume, provider cost and a way to monitor use and quality after release.
04 / FROM PLAN TO RELEASE
We begin with a measurable use case, test feasibility with representative data and design controls before production integration.
Areas we can include
05 / BEFORE WE START
No. Rules and conventional software are often more predictable. We choose AI only when it adds a clear benefit to the task.
The answer depends on the data, provider and agreements. We define permitted flows and retention before connecting any sensitive source.