user
John, considering your success at MMT Digital in leading AI projects using Azure OpenAI, how did you ensure these AI solutions were aligned with the clients' business objectives?
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At MMT Digital, leading AI projects with Azure OpenAI was about more than just cool tech; it was about delivering real business value to the client. From August 2022 to August 2024, my approach always started with deeply understanding the client's business objectives. A chatbot is great, but what is the business reason behind deploying one? It has to be a good business decision for the client.I'd start by holding workshops and interviews with key stakeholders to identify their pain points and opportunities. What processes could be automated? What insights could be gleaned from their data? What were their key performance indicators (KPIs)? Understanding the business drivers is crucial.Once I had a clear understanding of the business objectives, I'd work with the client to define the scope and requirements of the AI solution. This involved identifying the data sources that would be used, the features that would be implemented, and the metrics that would be used to measure success. It's important to have this clear right at the beginning, and to constantly reiterate this back to the team, to make sure everyone is aligned.Throughout the project, I'd maintain close communication with the client to ensure that the AI solution was aligned with their evolving needs. This involved regular progress updates, demonstrations, and feedback sessions. I also encouraged the client to participate in the development process, providing input on the design and functionality of the AI solution. I really feel that the client should be fully integrated into the project and part of the team.To ensure that the AI solution was delivering business value, I'd track key metrics such as customer satisfaction, cost savings, and revenue growth. If these metrics weren't moving in the right direction, I'd work with the client to identify the root causes and make adjustments to the AI solution. To constantly make sure that these metrics were correct, it required to extract these figures from the various business areas and stakeholders. This meant regular meetings and emails.Ultimately, my goal was to ensure that the AI solutions I developed at MMT Digital were not just technologically advanced, but also strategically aligned with the client's business objectives. At MMT Digital, I ensured AI solutions were aligned with clients' business objectives by starting with workshops to understand pain points and KPIs, defining the scope and requirements of the AI solution collaboratively, maintaining constant communication with regular progress updates, tracking key metrics like customer satisfaction and cost savings, and adjusting the solution as needed to deliver measurable business value.