Agentic decisioning applies governed AI agents that work alongside your existing rules, models and workflows to automate high-volume decisions in real time. Agents handle routine cases end-to-end; complex or uncertain cases route automatically to human review, and every decision is logged, explainable and audit-ready.

Rules engines and model deployment tools are components. Provenir is the layer that connects them — consolidating data, AI models, analytics, and decisioning agents into a single environment with governance built in. The difference isn’t features. It’s architecture.

No. Provenir is designed to work with your existing stack — credit bureaus, core banking, CRM, and fraud tools — through API-first integration. You keep the investments that work. You replace the fragmentation that doesn’t.

Where many institutions take around 12 months to move a model from concept to production, Provenir can get new use cases live in as little as four weeks. SoFi went live within 10 weeks at 57% lower cost than anticipated.

Every decision is traceable, explainable, and auditable. AI operates within a structured framework designed for regulated environments — so governance isn’t a constraint on performance, it’s built into how the platform operates.