TL;DR
Provenir has launched a decision intelligence platform that combines data, machine learning models, and AI-powered decisioning in one system. The platform includes agentic AI features, a natural language assistant, and pre-integrated access to OpenAI and Anthropic LLMs through AWS Bedrock.
What the Platform Does
The platform is designed to turn raw customer data into what Provenir calls “signals” — insight-driven indicators that reveal behaviours, risks, and preferences. Financial institutions can use these to make real-time decisions on lending, onboarding, and risk management.
New features include improved model management for monitoring machine learning performance, simulation capabilities that Provenir says reduce strategy testing time from months to weeks, and an embedded AI assistant that lets users query data and automate tasks like document review using natural language.
The platform also takes a “human in the loop” approach, providing transparency into how and why AI makes decisions — a requirement for meeting regulatory standards in financial services.
LLM Integration
Provenir is evolving its Global Data Marketplace into a combined hub for data and AI by integrating public and private LLMs. Financial institutions can access providers like OpenAI and Anthropic through pre-integrated APIs or use private instances hosted via AWS Bedrock to keep sensitive data protected.
“AI-enabled decisioning has shifted from differentiator to necessity,” said David Mirfield, Provenir’s senior vice president of product management. “Intensifying competition, M&A activity, and rising customer expectations are putting pressure on institutions to move faster, personalise interactions, and manage risk with greater precision.”
Looking Forward
The platform supports both real-time and batch processing across industries and scales from small lenders to large financial institutions. By offering pre-integrated LLM access with governance controls, Provenir is positioning itself for financial services firms that want AI capabilities without building their own infrastructure. The “human in the loop” emphasis will be tested as regulators continue to scrutinise automated financial decisions.