On a regular schedule, this workflow uses AI to analyze all open sales opportunities. It predicts each deal's likelihood of closing (either as Won or Lost) and identifies stalled deals with little recent activity. The findings are compiled into a Deal Health Scorecard summarizing win probabilities, risk factors, and signs of stalling. This scorecard is delivered to the sales rep, providing clear insights into which deals need attention. For stalled or at-risk opportunities, the workflow also drafts a personalized re-engagement email using AI. The rep can review and edit this draft before sending, ensuring they reach out with the right message to revive the deal.
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Use this example as a starting point, not a fixed recipe.
Copy the flow above as a prompt, markdown, skill, or mermaid diagrom. Adjust the steps, tools, agent and human involvement to fit your real workflow. Then test where users actually get value or drop off.
Analyze the current open opportunities and assess each deal's health. Use data like {opportunity_details}, recent activity, and deal stage to predict the likelihood of win or loss. Identify any deals that have stalled with no recent activity.
Using the insights from the deal health assessment, draft a personalized re-engagement email for each stalled or at-risk deal. Reference the prospect's name, {prospect_name}, recent interactions such as {last_interaction_summary}, and key deal points like {deal_value} and {deal_close_date}. Encourage the prospect to re-engage and address any potential concerns.