AI should support a clearly designed sales process — it should not define the process.
Review the sales process, CRM, customer journey, stalled deals and lost opportunities. Use available data to identify where revenue is leaking or slowing.
Define stages, qualification standards, customer outcomes, required information, ownership, approval points and success measures before choosing technology.
Document ICPs, buyer priorities, industry language, discovery questions, objections, competitive insights, successful proposals and account history.
Apply the process to live opportunities. Use AI selectively for research, preparation, summaries, follow-up, CRM hygiene, risk identification and coaching.
Measure conversion, velocity, forecast accuracy, pipeline quality and adoption. Feed real sales learning back into the process and knowledge base.