Microsoft Windows -10 Migration

Microsoft Windows -10 Migration

The most secure Windows yet – with enterprise-grade end-user device security, durability and manageability

Easy To Use

Improved Search Facility

Advanced Security Features

Virtual Desktops

Features and Benefits for Your Business

Maximum Performance & Flexibility

Windows 10 offers a familiar user interface for productive work on a PC, tablet or smartphone. Thanks to the welcome parallels to Windows 7, among which is the start menu on the desktop, you will feel like an expert in no time. 2-in-1 devices give the choice between desktop and tablet mode, which can be used interchangeably by switching between keyboard and touch.

Protection against Modern Security Threats

Windows 10 offers completely new methods for the protection of your systems and data. It has been developed to protect data, devices and identities of the biggest and most demanding companies and governments throughout the world.

Windows 10 also has an integrated defense mechanism for protecting critical company data against indiscretion, theft, and separates business data from personal. Technologies such as Secure Boot and Device Guard ensure protection right from switching on your device until switching it off again.

Some examples of Security features

Windows Hello: Windows Hello is a more personal way to sign-in to your Windows 10 devices with just a look or a touch. You’ll get enterprise-grade security without having to type in a password.

Windows Information Protection: With the increase of employee-owned devices in the enterprise, there’s also an increasing risk of accidental data leak through apps and services, like email, social media, and the public cloud, which are outside of the enterprise’s control. Windows Information Protection (WIP) helps to protect against potential data leakage without otherwise interfering with the employee experience. WIP also helps to protect enterprise apps and data against accidental data leak on enterprise-owned devices and personal devices that employees bring to work without requiring changes to your environment or other apps.

BitLocker: BitLocker Drive Encryption is a data protection feature that integrates with the operating system and addresses the threats of data theft or exposure from lost, stolen, or inappropriately decommissioned computers.

Credential Guard (not included in Win 10 Pro): Windows Defender Credential Guard uses virtualization-based security to isolate secrets so that only privileged system software can access them. Unauthorized access to these secrets can lead to credential theft attacks, such as Pass-the-Hash or Pass-The-Ticket. Windows Defender Credential Guard prevents these attacks.

Device Guard: Device Guard is a group of key features, designed to harden a computer system against malware. Its focus is preventing malicious code from running by ensuring only known good code can run. Device Guard is not a feature as such; rather it is a set of features designed to work together to prevent and eliminate untrusted code from running on a Windows 10 system.

Windows Defender Advanced Threat Protection (ATP): provides preventative protection, detects attacks and zero-day exploits, and gives you centralized management for your end-to-end security lifecycle. ATP is only available with Windows 10 Enterprise E5.

Windows 10 is Microsoft’s most recent evolution of their Windows operating system. It has been optimized to run on a range of devices from workstations, to laptops and tablets. It is Microsoft’s most secure operating system with a range of proactive and preventative security measures.

Jonathan Gill, Technical Presales Engineer: Wavex Technology

Did you know that Wavex uses a specialised technology to continually assess the end-user experience of using IT, which helps to ensure staff can work productively at all times?

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Take your first step towards realising the benefits of Windows 10

  • 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.