We build AI that can be audited — because we know how to audit it.
Trust isn't declared — it's demonstrated.
Risk
An AI system without governance is a hidden liability: no one knows how exposed the organization is until something fails.
Explainability
Being able to explain how an AI reached a decision isn't a technical nicety — it's what lets you defend it to a client, a regulator, or an auditor.
Compliance
AI regulation is moving fast. Documenting and governing before it's mandatory is an advantage, not a cost.
Where does your organization stand today?
Is your organization ready for regulated AI?
Four questions, no registration required. At the end we give you a classification and, if you want, book a conversation.
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Training almost no one else in the region has.
accumulated technical audits
Active training as an AI Management Systems auditor.
BIT is led by Wilder Ramírez Delgado, data scientist, AI architect, and technology consultant with more than 20 years of experience in advanced analytics, machine learning, big data, and systems architecture. He led the technical development of MinTIC's SIAT system for over a decade, with more than 750 accumulated technical audits, and is currently training as an AI Management Systems auditor under ISO/IEC 42001.
He is an electronic engineer from Universidad Nacional de Colombia, trained in Machine Learning at MIT, and has taught graduate-level analytics and AI for more than a decade (Universidad del Rosario, Universidad Cooperativa de Colombia).