TECHNOLOGY
AI Innovation Management
Gap Analysis
At the heart of Unify Today’s AI governance solution is a comprehensive Gap Analysis assessment based on industry-leading frameworks that provides basis on understanding the organization AI journey. This assessment evaluates AI processes across six key areas: Strategy and Vision, Governance and Oversight, Ethics and Accountability, Data Management, Talent and Training and Risk Management.
Identifying strengths, pinpointing areas for improvement in each of these areas then outputs a roadmap to elevate AI governance maturity in each section.
Strategy and Vision
This critical first step ensures your AI initiatives are firmly grounded in a clear and cohesive strategy, aligned with your overall business objectives.
Delves into critical areas such as leadership commitment, stakeholder alignment, and the integration of AI into your strategic planning process. We’ll help you establish a strong foundation, ensuring your AI efforts are poised to deliver sustainable, long-term value and contribute to your organisations competitive edge.
Solid Foundations, Strategic Success:
Align AI initiatives with business goals, ensuring long-term value and competitive edge.
Governance and Oversight
Effective AI governance requires a robust framework for oversight and accountability.
Organisations must put in place mechanisms for monitoring and evaluating AI systems throughout their lifecycle to identify potential issues or biases, and to rapidly address any concerns.
A centralised dashboard tracks AI governance metrics and KPIs, empowering data-driven decisions and maintaining vigilance over AI initiatives.
Ethics and Accountability
Examine factors such as the presence of ethical guidelines, the incorporation of ethical principles into the AI development lifecycle, and the establishment of structures to oversee AI implementation. Evaluate the ability to identify and mitigate potential biases, ensure transparency and explainability in AI-driven decisions, and implement effective mechanisms for external and internal oversight and accountability.
By rigorously assessing these ethical and accountability measures, Unify Today empowers organisations to build a strong foundation of trust and responsibility in their AI initiatives. This not only protects the organisation from potential reputational and legal risks but also ensures that AI is leveraged in a way that benefits all stakeholders, including employees, customers, and the broader community.
Data Management
Evaluate data management best practices to ensure the integrity, security, and responsible use of data throughout the AI lifecycle.
- Data Quality and Integrity: Establish robust data quality standards, data lineage tracking, and data validation processes to ensure the accuracy, completeness, and reliability of data inputs for AI models.
- Data Privacy and Security: Prepopulated with industry-leading data privacy and security controls to protect sensitive information and mitigate risks of data breaches or misuse.
- Responsible Data Usage: Provides guidance on ethical data collection, storage, and utilization practices, empowering organisations to use data in a transparent, accountable, and equitable manner that respects individual privacy and avoids biases or unintended harms.
Talent and Training
Developing AI governance capabilities requires the right talent and ongoing training.
Unify Today’s solution recognises the importance of building a skilled workforce that can effectively manage and oversee AI systems.
Providing a multi-faceted approach to talent and training that identifies the key components to ensure your AI initiatives are correctly skilled and aligned to the requirement of the EU AI Act.
Risk Management
Managing AI-related risks is a critical component of ongoing AI governance. A robust risk management framework is provided that helps identify, assess, and mitigate potential risks associated with their AI systems.
Identify AI Risks
Including a library of AI-related risks, empowering the proactive identification of potential threats and vulnerabilities within AI systems. This robust risk catalogue covers a wide range of categories, from algorithmic bias and privacy breaches to model instability and security vulnerabilities.
Implement AI Controls
Complementing the risk library, Unify Today offers a curated set of AI controls and mitigation strategies derived from NIST. This allows the establishment of a safeguards to address identified risks and ensure responsible AI deployment.
Leveraging AI effectively is not just an advantage – it’s a necessity.
By following our comprehensive AI governance process, ensures that AI systems are not only innovative but also ethical, transparent, and compliant with all regulatory standards.
Building and managing a robust foundation for AI success, enabling the harnessing of the full potential of AI technologies while safeguarding against potential pitfalls.
Choose Unify Today and lead the way in responsible AI innovation.
