Artificial Intelligence
Classification, extraction, semantic search and workflow support where AI delivers a verifiable operational benefit.

Micra's R&D work explores AI, Machine Learning, data and emerging technologies with a precise goal: turning them into capabilities that can be applied to real, governed and measurable processes.
Technologies are assessed against the problems they can solve: reducing repetitive tasks, improving information quality, supporting search and classification, making anomalies and priorities clearer, and embedding automation within controlled workflows.
Classification, extraction, semantic search and workflow support where AI delivers a verifiable operational benefit.
Pattern and signal analysis that supports data interpretation while remaining inside understandable and governed processes.
Quality, normalisation, reconciliation and data governance as prerequisites for reliable automation and intelligent systems.
Automation of repetitive steps and integration across systems, documents, communications and responsibilities.
Decision points and sensitive steps can remain under human validation and supervision.
Capabilities move into products when they fit the process and can be sustained in real operational environments.
Research does not live separately from product development. The capabilities developed feed the evolution of Micra solutions: from document and workflow management to data quality, intelligent search and operational support.
The goal is to keep innovation, enterprise integration and process control together.
Automation and intelligent systems should remain understandable, traceable and aligned with process responsibilities. Technology supports people without making decisions opaque.