GDPR - PII audit

GDPR - PII audit

30% of businesses are not GDPR compliant

Source: Accountancy Age

Organise and secure your data

Improve customer relationships

Enhance your business reputation

Improve overall efficiency

There are four main areas in which Wavex assist their clients - in discovering what you already have, in helping you respond appropriately to requests, in providing a good degree of accountability and in protecting you from risks.

Discovery

With regard to GDPR, Wavex has developed a server application that can automatically find your user-identifiable data across all your servers. This analyses all you files of various file types and documents stored in SharePoint. The collected data, often tens of thousands of files, is then placed within a Business Intelligence tool to provide dynamic analysis.
The typical questions you are then able to answer are:

  • Where is the majority of my user-identifiable data?
  • What are the file types my user-identifiable data resides within?
  • What folders hold the most user-identifiable data?
  • When was this data created?
  • When was the data last accessed?
  • How many documents are specific user records within?

This information provides a good indication of the work involved in meeting your regulatory obligations.

Response

The next challenge is ensuring you have built the appropriate processes to handle various user requests - access requests, right to be forgotten. Wavex build these processes onto their APEX® platform providing a convenient way of capturing the request and ensuring the correct activities are performed within the appropriate timeframe.

Accountability

Ensuring you remain compliant is important however the work to achieve this can be challenging. Each part of your business needs to answer a range of questions at semi-regular intervals (called attestations). As part of our fully managed IT service, clients get access to our APEX® platform automates this entire process; seeking answers from different departments and pulling this together to form your compliance dashboard.

Furthermore, reports can be automatically delivered to you on specified days outlining your level of compliance and any possible risks.

Protection

As part of GDPR it is vital that you have taken reasonable steps to protect your data. Wavex can provide a range of solutions and services to help you achieve a good degree of protection. These solutions range from end-point protection to proactive security assessments; all designed to minimise the risk of experiencing a data breach.

Clients also have access to our benign-phishing solution (also on APEX) which provides you an overview of who within your organisation may require additional cyber-risk training.

With a growing number of regulatory requirements for businesses we believe it is important for technology to be lightening the load.

Savva Flouri, Finance Director

Did you know that Wavex created a GDPR audit tool for its clients to automatically determine the locations of personal identifiable information across all their data?

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How we deliver this

Take your first step towards our GDPR audit services

  • Discuss requirements

  • Demonstration of Capabilities

  • Initial Technical Survey

  • High-Level Proposal

  • Financial Business Case / Sign-Off

  • Implementation / Deployment

  • Training

  • User-Acceptance Training & Go-Live

FAQs about Join the AI Revolution

Businesses today have access to a wide variety of AI technologies, each designed to solve specific challenges and drive efficiency, insight, and innovation. The key is selecting the right combination of AI tools that aligns with operational goals, available data, and the workflows that need enhancement. Not every AI solution fits every business, success depends on understanding the use case, potential impact, and how the AI integrates with existing systems.

Common types of AI suitable for businesses include:

  • Generative AI: Produces content, summarises documents, drafts emails, and generates reports, helping teams save time on routine writing or creative tasks.
  • Predictive analytics: Uses historical data to forecast trends, optimise inventory, predict customer behaviour, and guide strategic decision-making.
  • Natural Language Processing (NLP): Enables machines to understand and respond to human language, powering chatbots, summarisation tools, sentiment analysis, and advanced search.
  • Machine Learning: Detects patterns in large datasets to optimise processes, improve product recommendations, identify risks, or uncover hidden opportunities.
  • Robotic Process Automation (RPA): Automates repetitive, rule-based tasks across multiple systems, such as data entry, transaction processing, and workflow management.
  • Computer Vision: Analyses images and videos for applications such as quality control, security monitoring, or visual inspection in manufacturing or retail.

By working with a trusted partner like Wavex, organisations can identify the AI technologies that provide the most value, integrate them seamlessly into workflows, and scale solutions as business needs grow. With structured selection, pilot deployment, and ongoing optimisation, AI becomes a strategic enabler, delivering measurable results while maintaining security, compliance, and operational stability.

AI, today, has become a practical tool that can transform how businesses operate. By combining data analysis, automation, and machine learning, AI allows organisations to work smarter, make faster decisions, and respond to challenges more effectively. Its impact is felt across every department, from finance and HR to customer service and operations, helping teams focus on strategic priorities rather than repetitive tasks.

Beyond internal efficiency, AI helps companies enhance their competitiveness in the market. It enables better customer experiences, uncovers insights that drive innovation, and supports the adoption of data-driven strategies that can lead to measurable growth. The key to success is identifying where AI can add the most value and implementing it in a structured, well-governed way.

Practical ways AI can help businesses include:

  • Automating routine work: AI can process invoices, organise files, draft summaries, and handle repetitive administrative tasks, freeing staff to focus on higher-value projects.
  • Data-driven decision-making: By analysing large volumes of data, AI identifies patterns, predicts trends, and provides actionable insights to improve strategic planning.
  • Enhanced team collaboration: Tools like AI-driven summarisation or virtual assistants help teams access critical information faster and stay aligned across projects.
  • Smarter customer interactions: AI-powered chatbots, recommendation engines, and sentiment analysis deliver faster, personalised, and more accurate customer support.
  • Innovation and opportunity identification: AI can detect inefficiencies, predict market changes, and reveal new opportunities for products, services, or process improvements.
  • Scalability and flexibility: AI solutions can grow alongside the organisation, handling increased data volumes, expanding users, and adapting to new business needs without major infrastructure changes.

Wavex supports organisations in leveraging AI strategically, helping identify the right applications, integrate solutions with existing workflows, and monitor adoption. This ensures AI delivers measurable business outcomes while maintaining security, compliance, and operational stability.

  • Understand business objectives and challenges: Before exploring AI tools, it’s crucial to define what your organisation is trying to achieve. AI works best when it aligns with strategic priorities, whether that’s improving customer service, streamlining operations, accelerating decision-making, or uncovering new business opportunities. Taking the time to clearly map goals ensures any AI solution addresses a real business need rather than being a technology experiment.
  • Assess existing workflows and processes: Evaluate current operations to identify repetitive, manual, or error-prone tasks that can benefit from automation or AI-driven insights. Understanding the full workflow, including dependencies between teams and systems, helps highlight where AI can add the most value, and ensures that implementation won’t disrupt critical processes.
  • Evaluate data quality and readiness: AI relies heavily on data, so it’s essential to assess whether your organisation’s data is accurate, structured, and accessible. Poor-quality data can lead to inaccurate results or unreliable recommendations, so preparing and cleaning data is a foundational step before deploying any AI solution.
  • Define specific AI objectives and use cases: Narrowing down what you want AI to achieve is key to a successful deployment. Examples include summarising emails to save time, automating reporting, predicting sales trends, or assisting customer support teams. Clear objectives allow you to measure impact, prioritise resources, and ensure that AI adoption translates directly into tangible benefits.
  • Address risks and governance considerations: AI adoption comes with challenges, including data privacy, security, regulatory compliance, and change management. Planning for these early ensures the organisation can maintain control, prevent misuse, and build trust among employees while safeguarding sensitive information.
  • Develop a phased adoption roadmap: Implement AI incrementally, starting with high-priority use cases. By deploying AI in stages, your organisation can learn from each phase, adapt processes, and expand the solution progressively. This approach reduces disruption, manages investment risk, and allows teams to gain confidence in the technology.
  • Continuous monitoring and optimisation: AI adoption is an ongoing process. Regularly measuring performance, tracking ROI, and refining algorithms or workflows ensures that the solutions remain effective, relevant, and aligned with evolving business objectives. Over time, this allows AI to deliver increasing value and supports long-term digital transformation.

Wavex works closely with organisations to guide every stage of this process, from readiness assessments and pilot deployments to phased adoption and ongoing optimisation. This structured approach ensures AI is integrated securely, adopted effectively, and aligned with business priorities, ultimately delivering measurable results and sustainable value.