AI workflow examples for revenue teams
Start with the process you need to improve. These are examples to evaluate against your requirements, not measured client results.
Sales forecasting
Compare opportunity signals with historical outcomes, check the quality of the underlying data, and keep forecast ownership with the people accountable for it.
Quote preparation
Use approved product and pricing inputs to prepare a draft. Check missing information, exceptions and calculations, and require approval before anything is sent.
Customer retention
Bring support, success and billing signals together for a person to review. Evaluate false positives and define who owns a useful next action.
Lead routing and agent assistance
Use verified account information and clear ownership rules to prepare routing recommendations, meeting summaries or next-step drafts. Test missing data and conflicting signals before automating changes.
Define the outcome and test it
Agree the baseline, evaluation criteria, access, human review and stopping conditions before implementation. Detailed assessments and implementation are scoped and priced separately.