Brightuity

Banks are racing to tokenize real-world assets, but every tokenization decision carries regulatory, KYC, and risk exposure that no single model should make alone, and no auditor accepts an unexplained "the AI approved it." Brightuity is an enterprise B2B system for a bank's Digital Assets and Tokenization Division. It coordinates eight specialized AI agents (Orchestrator, Document Auditor, KYC Guardian, Dynamic Compliance, Stress-Test, Asset Tokenizer, Consensus Signer, and Governance and Audit) that work a single case together inside one Band chat room, where the room is both the case and the audit record. The Orchestrator @mentions each specialist, and each replies in the room with a verdict of PASS, FAIL, or HALT. The visible conversation IS the audit trail. Band is the spine, not a backdrop. The coordination becomes a timestamped, replayable compliance record, and the Orchestrator reads verdicts straight from the room messages, so the conversation a human watches is the exact record that gets sealed. Determinism lives where it matters. The Orchestrator enforces the governance gate in pure Python, so gate decisions are identical every run, and the Consensus Signer produces an ECDSA seal with no LLM involved. The five reasoning agents run on Claude, Gemini, and GPT through the AI/ML API, each with automatic primary to fallback failover. Dynamic Compliance grounds its opinion with RAG over real MiCA and AMLD text. Security is demonstrable. Customer PII sits in an air gapped Postgres zone with no internet route. Agents reach only allow listed endpoints through a Squid proxy, and Band traffic carries only a request ID and verdict text, never raw PII. The result is one signed, exportable Decision Evidence Package authorized by the Head of Digital Assets, proven on a clean approval and on a PEP match that forces a hard KYC halt with no seal.