dezotech is led by André Queiroz — a builder with 16 years inside a regulated bank, shipping the compliance-evidence software those institutions need before the auditor calls.

Every company we talk to is having the same quiet argument with itself. One side sees what LLMs and autonomous agents can do right now — the productivity is real, the competitors are already moving. The other side has watched what happens when you bolt fast-moving technology onto a decades-old, regulated system and skip the legal questions: data leaving the building, models nobody approved, a breach nobody can explain. dezotech started in that argument.

dezotech is led by founder André Queiroz. For sixteen years he worked inside banking and government systems at Banco do Brasil — places where "move fast and break things" is a great way to end up explaining yourself to a regulator. He learned modernization the slow, safe way: strangler-fig migrations that cut over one slice at a time, with a rollback at every step, so the business never stops while the old system quietly retires. He is also the builder: he wrote shadow-scan — dezotech's offline AI-discovery engine, field-validated on a live network — himself, and previously led development of Medrix, a real-time AI platform. The architecture is the founder-market fit, already in the code.

When LLMs and agents arrived, we watched capable teams freeze — not because the technology was hard, but because nobody could answer the audit questions:

• →Where does the data go?
• →Who signed off on this model?
• →What happens when it's confidently wrong?

"Shadow AI" isn't really a tooling problem. It's people shipping value faster than governance can keep up, and hoping nobody asks. We're building the software and the path that let them stop hoping — shadow-scan today, and an AML examination-evidence platform in development for compliance teams that answer to FINTRAC.