A pragmatic approach to identifying AI business cases
April 1st, 2021Our methodology for a data audit consists of four steps resulting in three key deliverables. The focus: small, short-term, low-risk projects close to your core business. This approach builds goodwill, identifies data management issues, and creates spillovers for future projects. Only target data connected to identified business cases. Nothing more, nothing less.
Four steps to your AI roadmap
Step 1: Kick-off session — a semi-structured interview to identify your 3-5 year strategic goals and brainstorm how AI can support them. Step 2: Business case identification — an analytical report mapping AI-powered business cases into a high-value, low-cost quadrant. Step 3: Data inspection — case-level assessment of required data sources, quality, and integration gaps. Step 4: Roadmap — a hands-on document outlining required steps, proposed technical architecture, and essential profiles for each business case.
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