AI Playbook
A strategy for AI is the best way to future-proof your investment.
Embarking on your AI journey? The Hitachi Solutions AI Playbook is a strategic engagement designed to support customers in adopting AI within their organisation.
The offering consists of a set of workshops run by the Hitachi Solutions team to educate customers on the capability of AI and plan the relevant steps to deploy AI within their estate. The offering includes envisioning sessions to help customers identify and prioritise AI use cases to be developed. The output of the engagement is a blueprint document with steps required to adopt AI within a customer’s estate, as well as a set of technically refined use cases to be delivered in a future phase or by the customer themselves.
The AI Playbook is segmented into four critical phases to ensure a structured and efficient approach to AI engagement, maximising output and reducing risks. These phases are Envisioning, Educating, Understanding, and Planning.
Understand the AI landscape
Define an AI strategy
Prioritise considerations for implementation
Envision use cases
Educating
Education about Microsoft AI offerings and their deployment is essential for ensuring that the customer understands what’s possible with AI and how it aligns with their needs. This phase establishes the customer’s expectations, bridges the knowledge gap, and fosters a more informed collaboration in the following stages.
Understanding
This phase involves delving into the customer’s current environment, challenges, and dependencies for implementing AI. It helps in identifying and documenting potential risks and obstacles, ensuring that the AI implementation plan is realistic and robust. By understanding the current landscape, a more tailored and effective solution can be devised.
Envisioning
This phase is vital for identifying specific business problems or areas for improvement with AI. It helps customers prioritise use cases, laying the groundwork for what the AI solutions need to achieve. Without a clear vision, the subsequent stages could be misaligned with the business’s actual needs, leading to wasted resources and efforts.
Planning
The final phase builds upon the previous stages, presenting the insights gathered during the envisioning and technical refinement sessions. It outlines a clear technical roadmap with key areas for AI adoption, providing a strategic guide to executing AI adoption. Without a well-structured plan, any AI project might face delays, cost overruns, or failure to meet the intended objectives.
By segmenting the process into these phases, the AI Playbook ensures that every aspect of AI implementation is thoroughly considered and executed, from vision to execution. This not only maximises efficiency and output but also helps avoid common pitfalls that could hinder the success of the engagement. It builds a strategic alignment between the business’s needs and the AI solutions, ensuring that the technology serves its intended purpose effectively and efficiently.
The AI Playbook runs over a timeline of 4 weeks, starting with Education & Understanding in Week 1, followed by Envisioning & Planning in Weeks 2-3, and finally Presenting our findings in Week 4.
The AI Playbook is critical for organisations to have a clear understanding of the available technology to align to the relevant use cases, have the applicable governance pillars in place to support an AI strategy, have a clear understanding of cost and ROI for AI use cases, and establish clear patterns for the use of AI within a business for repeatability.
Our AI experts
Get to know just a few of our experts working with our AI Solutions.
AI Capability Lead
Jack specialises in delivering AI-powered solutions to customers across the private and public sectors. Based in Manchester, he has over ten years of experience working in a variety of industries across Europe to solve complex and challenging business problems with AI.
Director AI Europe
Dr. Oliver Höllriegl is our Director AI Europe. For more than 16 years, he has been helping companies turn data into measurable business value, from modern reporting and data platforms to AI and automation solutions. His focus is on helping organizations get more out of their data, create transparency, and build the foundation for informed decisions, automation, and future AI initiatives. In doing so, he combines deep technical expertise with a clear understanding of his clients’ business challenges.
Director, Data & Analytics
Rob Worsley is Head of Data, Analytics and AI at Hitachi Solutions Europe, where he leads a large, multidisciplinary team of AI engineers, analytics consultants, and data engineers delivering high-impact data and AI initiatives across multiple industries. A seasoned data and AI leader, Rob specialises in helping organisations accelerate and scale their AI-driven transformations, moving from experimentation to measurable business value. Rob brings extensive expertise in enterprise Data & AI strategy, modern data platforms, advanced machine learning and AI implementation, and responsible AI practices. With over twenty years of experience across various sectors—including Retail, Oil & Gas, Energy, Financial Services, and UK Central Government—he collaborates directly with executive teams to transform insights into strategic action and deliver on organisational ambitions. Rob frequently contributes to industry discussions and thought leadership on AI governance, value creation, and the evolving role of data and AI in digital transformation.