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AI-Driven Decision Management

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AI-Powered Decision Intelligence

StrategyOne is CRIF's enterprise decision management platform that redefines credit decisioning across industries. It combines no-code simplicity, an AI assistant trained on real-world credit expertise, and robust governance built in by design. Business teams can design, optimize, and execute credit strategies covering every aspect of credit management — including origination, risk-based pricing, portfolio management, fraud detection, early warnings, and debt collection — all in one place, with full auditability and compliance. The integrated AI agents turn expert intent into validated, ready-to-execute strategies, reducing IT dependency while keeping humans in control at every step.

Key benefits AI-Driven Decision Engine

Why it matters

  • No-code

    Business users design, test, and deploy decision logic via an intuitive visual designer — drag-and-drop rules, scorecards, decision trees, and ML models with zero IT coding.

  • AI-augmented

    AI agents trained on real-world credit expertise suggest optimized strategies, validate logic before go-live, and support legacy migrations — with human oversight at every stage.

  • Governance

    Standardized, centralized decision logic supports Basel, IFRS9, and other regulatory requirements with full audit trails and consistent decisions across the entire lifecycle.

  • Test & simulate

    What-if analysis, champion–challenger testing, and KPI validation let teams evaluate the impact of any strategy change before it reaches production.

  • Live monitoring

    Self-serve dashboards and real-time production data let teams track strategy performance, measure business objectives, and react promptly to gains and losses.

Watch now

StrategyOne AI Demo at Finovate Spring 2026

At Finovate Spring 2026, CRIF's VP of Digital Solutions, Tiziano Testoni, demonstrates the AI-powered capabilities of StrategyOne, CRIF's decision management platform — showing how lenders can go from business requirements to a fully deployable credit decisioning strategy in minutes. Whether your team works in English, SAS, or Python, StrategyOne translates your requirements into production-ready decisioning objects — with full governance, what-if testing, and portfolio analysis built in. Human stays in the loop. AI does the heavy lifting.

Our Solution

StrategyOne unifies and automates decision-making across the entire customer lifecycle — connecting data, analytics, and business rules in one centralized platform. The result is faster strategy deployment, greater risk control, and more confident decisions from pre-screening to collection.

An intuitive, graphical no-code designer lets business experts author, test, and manage the full spectrum of decision logic — rules, calculations, decision trees, scorecards, decision tables, and machine learning models — using drag-and-drop interactions. Changes can be deployed without IT involvement or system downtime.

An AI assistant trained on real-world credit expertise performs like a senior analyst — suggesting optimized strategies, validating logic before deployment, and accelerating onboarding. Legacy rule migrations become structured and secure, while humans remain in control of every final decision.

Teams can massively simulate the impact of strategy changes before go-live — evaluating scenarios against benchmarks, running A/B champion–challenger tests, and validating KPI outcomes. This eliminates guesswork and reduces the risk of unintended consequences from policy or model changes.

Scorecards, credit scores, and machine learning models are operationalized directly within the strategy designer. Business users can drag ML models into decision flows and configure how they interact with business rules — monetizing analytic investments without requiring data science involvement at every step.

A built-in analytics layer lets teams build self-serve dashboards and query live production data to monitor decision strategy performance in real time. All simulation, champion–challenger, and production execution data is available for reporting and continuous improvement.

All decision logic is authored and executed from a single centralized location, making DevOps and ModelOps significantly more efficient. Standardized processes provide full traceability to support Basel, IFRS9, and other regulatory requirements at every stage of the customer lifecycle.

Identity Verification & Anti-fraud

Custom Loan Origination System