Key steps to implement AI safely
Adopting AI while safeguarding sensitive data is critical for organisations looking to harness its potential. Generative AI (GenAI) has been the defining innovation of 2024, and its impact is set to grow in 2025. This technology presents vast opportunities for private and public sector organisations to automate operations and improve efficiency, but implementing it safely requires careful planning. Richard Hartill, Client Account Manager at Northdoor, shares 10 practical steps to help organisations harness AI’s potential while safeguarding sensitive data.
Understanding AI adoption
GenAI creates new content—such as text, images, music, or code—by learning from existing data. Techniques like deep learning enable these models to mimic human creativity and decision-making. According to a Microsoft-commissioned study by IDC, AI could contribute an estimated £16.5 trillion to the global economy by 2030.
Transformative AI adoption tools
Microsoft’s Copilot and Fabric exemplify GenAI’s capabilities. Copilot automates repetitive tasks, boosting productivity, while Fabric uses data analytics to enhance decision-making. For public sector organisations facing resource constraints, adopting these technologies can address rising demands effectively.
Regulatory landscape for AI
EU AI Act
The EU AI Act, the first legal framework for AI, aims to manage risks and foster trust. Key provisions include:
- Transparency obligations for AI models.
- Risk management requirements.
- Adaptable rules to keep pace with technological advancements.
IT consultants can support ongoing quality and risk management to meet these standards.
UK Approach
While the UK lacks a comprehensive AI regulation, its March 2023 white paper, “A Pro-Innovation Approach to AI Regulation,” outlines steps towards responsible AI development. Research indicates AI-driven innovation could add £550 billion to the UK economy by 2035. Until statutory regulations are established, organisations must adopt robust frameworks to safely implement AI.
Ten steps to adopt AI safely
1.Define Clear Objectives
– Identify specific problems or opportunities where AI can create value.
2. Create an AI Pilot User Group
– Select a department to trial AI tools, measure outcomes, and develop rollout strategies.
3. Conduct Data Discovery
– Audit your data estate to truly understand your data landscape.
4. Perform Data Deduplication
– Remove unnecessary data to reduce risks and improve manageability.
5. Cleanse and Classify Data
– Protect sensitive information with secure access rights and apply compliance policies.
6. Archive Data
– Reduce costs by archiving unused data after a defined period.
7. Assign Data Guardians
– Appoint department heads to maintain data quality and compliance.
8. Migrate Data
– Ensure data intended for AI resides in compatible environments, such as Microsoft’s O365 suite for Copilot.
9. Monitor AI Usage
– Track program usage to optimise license allocation and maximise value.
10. Develop an AI Training Program
– Regularly update training materials to maximise productivity and satisfaction.
The role of Data Science in 2025
While cyber security remains critical, the role of data scientists will become increasingly vital. By combining human insights with AI’s data-driven capabilities, data scientists will enable organisations to:
- Process vast amounts of unstructured data in real-time.
- Transition from historical analytics to AI-driven, real-time insights.
Partnering with IT Consultants
Third-party IT consultants like Northdoor can help organisations better adopt AI. Below are some common areas where third-party consultants are being hired to help:
- Plan and support the end-to-end deployment, including providing the expertise and technologies required to undertake the practical steps highlighted above.
- Data Platform Modernisation
- Data Analytics and BI Reporting Modernisation
- Implement AI technologies securely.
- Develop robust frameworks for compliance and risk management.
- Leverage AI for transformative decision-making and productivity improvements.
Conclusion
Adopting AI while safeguarding sensitive data is achievable with the right strategies and support. By following these 10 steps and partnering with experts, organisations can unlock AI’s full potential while ensuring compliance and security.