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Our AI Consulting Services

AI is one of the biggest technological advances of recent years and it is here to stay. Gartner predicts that by 2026, 80% of enterprises will have used generative Artificial Intelligence or developed their own1.

Organisations adopting generative AI can expect benefits such as higher productivity and improved customer experiences. However, the adoption of AI poses serious cyber security risk for organisation’s if crucial mitigation steps are overlooked during the implementation.

That’s where CWSI can step in to support your business. We offer AI business consulting services delivered by a team of experienced professionals from within the field. We work together to understand where AI can make a significant impact on your business operations, and ensure that applications are delivered securely.

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Benefits of Adopting AI

The era of AI is upon us and businesses are excited to implement generative AI and enjoy the advantages of:

  • Increased business productivity
  • Better decision-making through AI insights
  • Improved speed of business
  • Personalise customer service and experience
  • Avoid ‘human error’
  • Save operational costs

The Challenges of AI

AI holds immense promise power in enhancing today’s businesses. However, its implementation also carries significant risks that need careful considerations. Some of these risks include:

  • Increased risk of data breaches and identity theft
  • Data leaks exposing sensitive data
  • Poor security in the chosen AI application
  • AI misuse and malicious attacks
  • Privacy concerns

Get Your Business AI ready

AI tools such as Microsoft’s CoPilot, have remarkable capabilities to access, map and analyse all data within your Microsoft estate, providing recommendations based on its understanding of the available data. Deploying AI tools such as Copilot in an unmanaged environment has huge security risks, allowing employees to access sensitive data that should be restricted from their view. Therefore, it is vital that your enterprise data is AI ready.

It is imperative that you have Data Governance in place before you embark on implementing AI. Data Governance projects can be complex but CWSI have the expertise to help define governance policy and securely map and classify your entire data estate, so that you can confidently deploy AI across your organisation.

Our AI Business Consulting Process

We are one of the few Microsoft Security services companies to hold a Microsoft Advanced Specialisation in Information Protection and Governance and offer a staged approach to achieving AI data readiness:

1 | Define your data strategy and data governance goals and objectives

2 | Establish a data governance structure and assign roles and responsibilities

3 | Develop a data governance framework and polices

4 | Implement data governance tools and technologies

5 | Deploy chosen AI tool

6 | Monitor and measure your data governance project

Understanding AI Tools

As the number of AI tools grows rapidly, organisations need to recognise that not every AI tool is suitable for enterprise use. Some AI tools may lack positive intent or integrity regarding proprietary information, prompting organisations to establish governance mechanisms to identify which AI tools are officially approved for enterprise utilisation.

CWSI have extensive expertise in application delivery and application management. We can assist you in identifying which AI applications are being used in your environment and help you effectively manage your employees access to them.

Discover More on Governance, Risk, Compliance and Advisory :

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Are you AI ready? Contact us to learn more about our AI consulting services and move a step closer to safely implementing Generative AI into your business:

What is AI consulting?

AI consulting is the process of working with consultants to identify opportunities where AI can improve the processes within your organisation.

How is AI Useful in Business?

The main benefits of using AI for businesses are saving both time and money through streamlining and automation of processes. These processed were typically manual in the past, before the use of AI.

  1. Gartner Says More Than 80% of Enterprises Will Have Used Generative AI APIs or Deployed Generative AI-Enabled Applications by 2026 ↩︎

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