Accelerating AI Outcomes

AI isn’t a one-size-fits-all option, and making the most of your AI investment requires planning and consideration. Lines of business owners will understand the challenges at an operational level, while executive leaders provide the organisational vision, all supported by IT, data, and legal teams.  

We have designed the AI Discover program to be the first step in bringing these teams together and building the understanding required to develop a lasting and valuable AI Strategy. We cut through the market hype, deliver practical education, and become the catalyst for AI innovation across your organisation.  

We will help you answer the following questions:  

• What will AI mean to me and my business?   
• How can I implement AI solutions effectively?  
• How can I utilise AI to drive measurable business outcomes?  

Every organisation must consider the potential legislative, ethical, and governance challenges surrounding the use of AI, especially GenAI. Our team of experts can advise on the potential legislative, ethical, and governance challenges surrounding the use of AI, and ensure your AI strategy is as compliant and as future proof as possible.  

Enforcing governance and complying with AI legislation is business-critical and will demand the evolution of existing GRC policies and capabilities to avoid significant overheads and possible risks. The challenges posed differ between off-the-shelf and custom AI, and CDW works in partnership with you to mitigate these risks and develop a robust governance and security framework.  

For data to be used intelligently in Enterprise Service Management, there are four key areas organisations can focus on that are off-the-shelf, and therefore, deliver faster time to value and guaranteed ROI in most cases. However, each requires a plan and a walk through a maturity journey before the business value is realised.  

In the case of deploying Robotic Process Automation (RPA) or Business Process Automation (BPA), it’s key to identify the most suitable candidates for automation to extract maximum business value. In the case of AIOps, data must be optimised before the appropriate context is provided to the operations team, and predictive self-heal can be enabled. GenAI helps with contextualised self-service, NLU-powered search and reporting, optimising and creating the knowledge base, or generating code and creating applications. However, access to the appropriate data needs to be governed. Finally, iPaaS platforms enable intelligent API and application integration and cross-platform workflow automation, which is the last key piece of the puzzle, enabling the future of Agentic AI that organisations can trust to work optimally on their behalf.  

Getting the above right the first time requires a strong, experienced partner who understands your business and has access to the most appropriate skills your organisation needs.

For custom AI, our Hybrid Platforms team leads in partnership with expert applied AI consulting organisations, combining to deliver full-stack outcomes such as AI Facilities (on-prem and Cloud), AI Platforms, Data Strategy, AI Expertise and Front-end Integration. We take a hybrid approach, focusing on protecting data and intellectual property while using the platform that will deliver the most value.  

We focus on bespoke customer outcomes backed by over a decade of real-world experience and expertise.   

Our custom AI solutions focus on four key areas:  

• Computer Vision (CV)  

• Natural Language Processing (NLP)  

• Document Intelligence (DI)  

• Generative AI (large language models)  

Learn more about what Custom AI is, why you need it and what outcomes you can expect from it in our comprehensive AI guide.