RegTech
Regulated organizations drown in policies, controls and documents that are stored but not usable. The problem is making that corpus operational, not building another filing cabinet.
What problem exists?
The problem is not a filing cabinet. It is making regulatory and risk information searchable, contextual and operational.
Policies, controls and evidence live in volumes that no team can read end to end. Without retrieval, classification and workflow, 'we have the documents' is not the same as 'we can use them under time pressure'.
What do I build?
AI-powered risk and compliance technology — document intelligence, regulatory workflows and architecture for financial-services environments.
LLMs, NLP and RAG only belong here when they sit on an architecture that respects permissions, evaluation and the fact that a wrong answer is a compliance event. That is the framing of the RiskCapCom work: regulatory intelligence and document intelligence, not a generic chatbot.
Why domain knowledge matters
RegTech only works if the architecture respects how regulation is actually used: as living controls, not as PDFs on a share.
I start from the control the organization already owns and ask how software makes it faster to evidence, search or act — not from a model that needs a problem.