Autonomous Network Administrator (ANA)

Autonomous Network Administrator (ANA)

Reduce costs by 20% through our end-user request automation solution

Improve productivity

Reduce risks

Save costs

Delight end-users

The entire IT services sector prioritises tickets. This helps them offer an affordable service while still responding quickly to high priority requests. However, when you consider the majority of tickets are a low priority, this totals long delays for end-users. Wavex has built A.N.A., our Autonomous Network Administrator who immediately resolves many of these simple requests.

ANA can communicate with a wide-range of Cloud services from Azure, Office 365, to other 3rd party cloud vendors.

Because APEX® already has information about staff and approvers, ANA can utilize this information to follow your business processes while making the necessary changes in seconds and in the rare times ANA may be unable to complete a request, it is seamlessly passed onto the service-desk to complete the fulfillment manually.

ANA can help reduce overall IT support costs by 20%. And is a core component of the Wavex IT Support engagement model. Whether ANA is used directly by staff or by engineers it still offers superior response and resolution times.

How does ANA work?

Security has been a key consideration in the design of ANA. We use the same communication technology as your online banking (SSL / HTTPS), and in addition to that we use OAUTH2 for authorization web communicating with public services (Office 365, Microsoft Azure and other 3rd party providers). This ensures all communications are encrypted, and endpoints are validated and authorized.

For on-premise infrastructure, Wavex installs a small server application that normally runs on the domain controller (although it can run on alternative servers). This securely communicates with ANA and carries out specific requests. Furthermore, the communication between this Server and the target server is also encrypted.

For cloud infrastructure, Wavex has built ANA to use APIs (Application Program Interfaces). This enables ANA to also communicate with Office 365, Azure and other cloud services in a secure fashion. We therefore need to create the appropriate credentials on cloud infrastructure platforms to enable ANA to securely communicate with these resources.

It used to take us hours to create a new user but with ANA it takes seconds. ANA can be used by engineers or directly by end-users and follows the right approval processes as defined by our clients

Jonathan Gill, Technical Presales Engineer: Wavex Technology

Did you know that using Wavex’s Autonomous Network Administrator (ANA) a significant volume of IT requests can be automated?

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How we deliver this

Take the first step towards super-charging your staff’s IT experience

  • 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.