
Document classification and reading
Automation to organize documents, extract data, and assist operational decisions, similar to the work delivered for Kriptos.
Services
We design AI discovery, PoC, and integrations to automate tasks, assist decisions, and extend existing systems with proprietary data.

Problems it solves
OKAPII AI helps when a company needs to query scattered information, classify documentation, automate repetitive steps, or improve decisions with existing data.

Automation to organize documents, extract data, and assist operational decisions, similar to the work delivered for Kriptos.

Copilots connected to proprietary information to query statuses, exceptions, courses, sales, support, or internal documentation.

AI integrated with databases, APIs, and current platforms to reduce repetitive tasks without replacing the whole operation.
Methodology
01
We identify business processes where AI can create concrete value.
02
We validate technical feasibility and business usefulness before scaling.
03
We connect the solution to existing systems, data, and workflows.
04
We support evolution with continuous improvement and maintainability in mind.
FAQ
We work on discovery, proofs of concept, copilots, document classification, data-driven automation, and augmented analytics connected to business processes.
Yes. The goal is to integrate AI with existing data, APIs, databases, and workflows so it creates operational value instead of becoming an isolated tool.
A PoC is useful when the opportunity is clear, but data quality, technical feasibility, user value, and risks still need validation before scaling.
We start from a concrete process, define an operational metric, and limit the first scope to validate value before investing in a broader solution.
Next step
In an initial call, we validate goals, current systems, risks, and opportunities for automation or AI to define the best starting point.