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Data & AI7 min
Why historical data matters to get better AI outputs
How previous proposals, emails, and closed projects improve quality in new AI use cases.
AI performs better with real business context: previous offers, common objections, implementation timelines, and client segments.
You do not need to train a model from scratch. In many cases, providing controlled access to trusted internal knowledge is enough.
When historical data is structured, teams deliver faster and with more consistency.