Free AML Screening Platform

Anyone fulfilling the below criteria.

• Incorporation Date: Fintech companies incorporated in April 2021 or after are eligible.
• Website: They should have their own website.
• Not current or past customers

Complete access to SAMS platform:

• Free One-Year Subscription for up to 10,000 customers for Sanctions, PEP, and Adverse Media Screening.
• Access to the Customer Risk Rating module
• Access to the platform for screening customers as well as reviewing the alerts
• API access for integration with existing internal systems and workflows

Any customization/enhancement requests, unless accepted by the Solytics team

You receive 10,000 credits for 1 year. Every credit allows you to screen 1 customer including their ongoing monitoring and risk rating. For transactions, multiple credits are required based on the screening requirements – payer, payee, merchant bank, etc.

You can monitor the usage on the admin dashboard.

Additional credits can be purchased at any time during the engagement – just reach out to our sales team with your requirements.

No, there is no compulsion to renew the contract after Year 1.

An AI governance platform is a software solution that helps organizations manage, monitor, and control AI models and applications. It ensures that AI systems follow defined policies, remain compliant with regulations, and operate in a transparent and reliable way. Instead of relying only on documents or guidelines, a platform brings governance into action by tracking model behavior, managing risks, and maintaining proper records for audits.

AI governance solves some of the biggest challenges that come with using AI at scale. These include biased outputs, lack of visibility into decisions, data privacy risks, and compliance gaps. Without governance, it becomes difficult to understand how AI systems make decisions or whether they are aligned with business and regulatory expectations. Governance helps bring control, accountability, and trust into AI adoption.

A reliable AI governance platform should offer features such as real-time monitoring of AI models, risk identification and scoring, policy enforcement with clear guardrails, detailed audit trails and reporting, role-based access control, and end-to-end model lifecycle tracking. Together, these capabilities ensure that AI systems are not just deployed but are continuously monitored, controlled, and aligned with business goals and regulatory requirements over time.

An AI governance solution works by linking defined policies with real-time AI operations. It tracks how models behave, logs decisions, and checks whether they meet compliance and risk standards. For instance, Solytics Partners’ AI Governance provides a centralized view where AI teams can monitor models, identify risks early, and generate reports for audits, making governance more practical and less manual.

An AI governance framework is a set of guidelines, principles, and policies that define how AI should be used responsibly. An AI governance platform, on the other hand, is the technology that puts those guidelines into action. It helps enforce rules, monitor systems, and provide measurable outcomes. In simple terms, a framework tells you what to do, while a platform helps you actually do it.

No, AI governance applies to all types of AI systems, not just generative AI. This includes machine learning models, predictive analytics, recommendation engines, and automated decision systems. Any AI that influences outcomes or decisions needs governance to ensure it is fair, secure, and compliant.

AI governance software ensures compliance by mapping AI systems to regulatory requirements and internal policies. It continuously monitors models, checks for violations, and maintains detailed logs for audits. It also helps generate compliance reports and ensures that every decision made by an AI system can be traced back. With this, Solytics Partners’ AI Governance supports this by providing structured workflows and audit-ready documentation, which makes regulatory alignment easier.

The right AI governance platform depends on your business needs. Key factors include strong monitoring and risk management capabilities, support for regulatory compliance, easy integration with existing systems, scalability as AI usage grows, and clear reporting and audit features. Solytics Partners provide a centralized AI Governance platform which is built to support these needs by offering better visibility, control, and compliance across the AI lifecycle. The solution should not only address current requirements but also adapt as your AI ecosystem continues to grow.

Data governance focuses on how data is collected, stored, and managed, ensuring quality, privacy, and security. AI governance goes a step further by focusing on how AI models use that data to make decisions. It ensures that outcomes are fair, explainable, and aligned with policies. In simple terms, data governance manages the input, while AI governance manages the decision-making process and its impact.

Model risk management is the process of managing risks that arise from using financial, statistical, AI, or machine learning models in business operations and decision-making. It includes model governance, validation, monitoring, documentation, and compliance throughout the model lifecycle. A strong model risk management framework helps organizations reduce errors, improve transparency, meet regulatory requirements, and ensure models continue to perform accurately over time.

A model risk management system is a centralized platform designed to manage the complete lifecycle of enterprise and AI models. It helps organizations streamline model governance, automate validation workflows, monitor model performance, maintain audit trails, and generate compliance reports from a single environment. Solytics Partners is made exactly for that, enabling teams to improve operational efficiency while ensuring better visibility and control across all models.

A model risk management program is a structured framework used to oversee the complete model lifecycle, from development and validation to deployment and monitoring. It helps organizations maintain transparency, reduce operational risk, and meet regulatory requirements.

The best risk management software is one that combines governance, automation, monitoring, reporting, and compliance within a single platform. Solytics Partners offers a unified model risk management platform designed to help enterprises manage AI and traditional models efficiently at scale.

The three main types of model risk are data risk, model implementation risk, and model usage risk. Data risk occurs when inaccurate or incomplete data affects model outcomes. Model implementation risk arises from errors in development, coding, or deployment. Model usage risk happens when model outputs are misunderstood or used incorrectly in decision-making. Managing these risks is essential for maintaining model accuracy, reliability, and compliance.