This is the work of turning AI, digital and data from a board-level ambition into systems your teams actually use day to day. You bring someone in when the pilots have stalled, the data contradicts itself, or everyone agrees AI matters but nobody owns what happens next.
When to hire an external consultant
You’ve run pilots that impressed everyone and changed nothing, and you need someone to find the handful worth putting into production.
Your data lives in fifteen places and no report agrees with the next, so any AI or analytics plan stalls before it starts.
You want someone who’s shipped this inside a real company, not a vendor selling you their platform.
Typical activities
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Working out where AI and automation actually pay off in your process, and where they’re a distraction.
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Getting the data foundation in order: sources, definitions, pipelines, so the numbers stop fighting each other.
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Building or fixing the reporting and dashboards leadership actually looks at.
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Taking a first set of AI use cases from prototype to something running in the business.
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Setting the operating model and governance so it keeps working after the project ends.