Device Management

Device Management

Workers are more productive using their own hardware saving an average 81 minutes/week.

Source: Cisco - Comprehensive BYOD Implementation Increases Productivity, Decreases Costs

Remotely manage users and devices

Keeps applications and data secure

Embrace “Bring Your Own Device” culture

Automate device registration

With staff opting to use their own devices, also known as bring-your-own-device or BYOD, it is vital any business data remains secure and the device adheres to corporate policies.

Microsoft Intune device management is a cloud-based service, in the enterprise mobility management (EMM) space, that enables you to manage and enrol Windows 10 devices (laptops and desktops), including mobiles, within a centralized Cloud console.

This is a component within the Microsoft Enterprise Mobility and Security (EMS) suite which is subscribed on a per-user, per-month basis. Once configured, the Microsoft Windows devices will automatically enroll, however mobile devices will need to be enrolled by the users or with the designated assistance either onsite or remotely.

It is also a service that enables your workforce to be productive while keeping your corporate data protected. Intune integrates with Azure Active Directory for additional security capabilities and access control for compliance purposes.

Key features

  • Device Management of the mobile and Windows devices your workforce uses to access company data.
  • Ensure devices are encrypted – where devices support encryption
  • Ensure devices are compliant with company security requirements.
  • Remote wiping of devices if they are lost, stolen or an employee has left the business. This capability is available by default in existing Office 365 policies for mobile phones – Intune extends this to Windows and MacOS devices i.e. laptops and desktops.
  • Manage Bring Your Own Devices (BYOD) if it is company policy to allow users to use their own devices to allow access company data i.e. Mobile phones. In this case Intune can be used to remove only company data from the device when the user leaves - depending on how that data is stored.
  • Maintain an automated asset register of enrolled devices within the Intune console

Managing mobile devices across clouds and business operations is more critical to enterprise success than ever before. Our device management solutions allow you to retain control and ensure security, even when your employees work from their own personal devices.

Gavin Russell, CEO: Wavex Technology

Did you know that Wavex clients can review all their IT vulnerabilities across every device within APEX®?

Trending ebook

Your Guide to Building a Modern Workplace

Meet the future-ready modern workplace. Discover what it looks like, it’s benefits, how much does it cost to implement and some practical tips on how to take your first step.

Download now

Take your first step towards implementing a secure device management

  • 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.