The 10-20-70 rule is a framework for thinking about AI adoption in go-to-market: roughly 10% of the impact comes from the AI model itself, 20% from the data and integrations feeding it, and 70% from the processes and workflows built around it. This means buying a new AI tool without fixing your data quality and processes first typically fails. B2B Fusion applies this principle by assessing data and process readiness before recommending any AI investment.