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ModelCompass.ai
Embed compliance, risk control, and audit readiness into every credit risk model — native to our IntelliDecision.ai platform
IntelliDecision.ai Platform: Transform Decision-Making with Data-Driven Intelligence
Predictive Model Builder
Develop predictive ML models for automated decision making at scale with a no-code, enterprise-ready platform.
Centralised Rule Management
No-code, AI-powered centralised rule management system to automate decision-making for smarter and faster decisions.
Model Lifecycle Management
Embed compliance, risk control, and audit readiness into every credit risk model — native to our IntelliDecision.ai platform.
Why choose ModelCompass.ai to govern your models?
ModelCompass.ai, part of our IntelliDecision.ai decisioning platform, gives data science, risk, and compliance teams a unified platform to oversee every stage of the ML model lifecycle, from development through deployment and audit, ensuring every model is explainable, traceable, and regulation-ready.

Transparency and Trust
Provides end-to-end visibility into model building and decisions, enabling teams to explain outcomes clearly to stakeholders and regulators
Control and Accountability
Centralises model documentation, version history, and approvals so every change is tracked, and every decision is owned
Compliance and Readiness
Continuously monitors model performance and flags risk, ensuring models meet internal policies and external regulatory requirements at all times
ModelCompass.ai – A robust, audit-ready governance platform for the full model lifecycle
End-to-end model governance ensuring every model is explainable, traceable, and regulation-ready across your organisation
Risk Assessment
Evaluates models against predefined risk thresholds, flagging high-risk models and supporting informed go/no-go decisions before production deployment
Auto Documentation
Automatically generates comprehensive models and technical documentation, reducing manual effort and keeping records accurate and up to date
Performance Monitoring
Continuously tracks key model metrics and drift indicators post-deployment, alerting teams to degradation before it impacts business outcomes
Version Control
Tracks every iteration of a model with a complete audit trail — who changed what, when, and why — ensuring nothing is lost, and everything is accountable
Explainability AI (XAI)
Built-in model explainability features allow teams to interpret predictions at both global and individual levels, supporting responsible AI practices
Regulatory Reporting
Generates structured compliance reports aligned with industry and regulatory frameworks, simplifying audit preparation and reducing reporting overhead
ModelCompass.ai – Navigate, evaluate, and govern every AI model with confidence
Corestrat's offerings
Frequently Asked Questions
ModelCompass.ai is an enterprise AI model governance platform designed to help organisations track, manage, monitor, and audit the lifecycle of machine learning models. It provides capabilities for model documentation, version control, performance monitoring, explainability, risk assessment, and regulatory reporting to ensure AI systems remain transparent, compliant, and production-ready.
Why choose Corestrat?
Scalable & secure
Our solutions are built on cloud-native architecture, ensuring scalability, security, & easy integration with your existing systems
Proven expertise
With years of expertise in AI-powered risk management & decision automation, we’ve become a trusted partner for leading organisations
Tailored solutions
Every institution has unique challenges & goals, so our AI-powered solutions are flexible, customisable, & built to adapt to your needs
Innovative approach
We prioritise innovation, rigorous analytics and due diligence to deliver intelligent, future-ready solutions
Our numbers speak
for themselves
Efficiency
Improvement through smart workflow automation
Accuracy
Improvement in predictive models
Return on investment
On scalable portfolio management platforms
Cost Savings
For organisations through automated decision making


