Central Finite AI

Central Finite AI is an enterprise AI operating system built to bring LLM-assisted automation to IT operations and core-banking engineering — two domains where mistakes are expensive and blind trust in AI output is not an option. The system runs on Google Cloud Run with a FastAPI backend, a React NOC-style dashboard, and ChromaDB as a persistent knowledge base that ingests T24 (Temenos Transact) documentation, sample routines, and prior incident history. On top of that sits a five-agent investigation pipeline — Knowledge, Graph, Connector, Investigation, and DevOps agents — that traces incidents through a dependency graph using breadth-first impact analysis, pulls context from read-only Git/Jira/SQL connectors, and proposes remediation. Two features push this from "chat about your systems" into "act on your systems," safely: - An OFS Builder that constructs T24 OFS messages (the format T24 uses for programmatic transaction submission) either from a deterministic manual form or from a plain-language description via Fireworks-hosted inference. Every generated message is shown in an editable preview before submission. - A Routine Builder that drafts T24 subroutine source code (jBC/TAFJ) grounded in ingested T24 documentation, flagging any guessed field names in review notes rather than silently inventing them. Nothing compiles, attaches, or submits to a live T24 instance automatically. Every action — writing a routine, compiling it, filing a PGM.FILE entry, attaching it, or submitting an OFS message — passes through a deny-by-default execution engine with an audit-logged approval step in the dashboard's Actions tab. A local Windows/TAFJ compile agent polls the Cloud Run backend and only executes actions once a human has approved them. The result is a system that gives IT operations and T24 developers LLM-speed drafting and investigation, without giving an LLM unsupervised write access to production banking infrastructure.