How an AI agent can produce a deal queue ranked by the follow-up it needs
This workflow gives an AI agent a defined job, a bounded set of records, and a result a person can review. The agent reads the relevant Close context, applies the rules in the prompt, and keeps the source behind every recommendation. It returns a proposed handoff rather than taking consequential actions on its own.
Can an AI agent produce a deal queue ranked by the follow-up it needs?
Yes. Start with the scope, date range, decision rules, and fields that identify the right records. The agent can collect the evidence, compare states or sources, mark conflicts and missing data, and organize the result around the outcome above. A reviewer then checks the matches and judgment calls before approving messages, record updates, bookings, purchases, publishing, or other write actions. The guide below shows the records, boundaries, prompt, and handoff needed for this specific workflow.
Define what counts as stalled
Provide the Close pipeline, stages, reporting date, and rules for inactivity, overdue tasks, next-step quality, ownership, and stage age. Include exceptions for long buying cycles or intentional nurture.
The agent should inspect the latest meaningful activity and recorded next action. A logged call with no outcome may not count as progress. A recent customer request with no task may be more urgent than a deal that has simply been quiet.
Example starter prompt
Review Close opportunities in [pipeline/stages] as of [date]. Apply these stall and follow-up rules: [rules and exceptions].
For each deal needing attention, cite the opportunity, owner, stage, amount if relevant, latest meaningful activity, promised next step, overdue task, and evidence date. Recommend one owner action and explain its priority. Separate missing data and stage conflicts. Do not change deals or send messages.Check the priority reason
Review high-priority deals for customer evidence, not only deal value. Confirm that the next action belongs to the current owner and that the recommendation does not repeat a completed task. Keep pipeline hygiene findings separate from genuine commercial risk.
Questions this workflow answers
Which deals need action now, and which ones only look stale because the CRM is incomplete?
An agent can review a selected pipeline using rules the sales team defines for inactivity, stage age, overdue tasks, ownership, and next-step quality. It reads the latest meaningful communication or activity, current opportunity stage, owner, task state, amount when relevant, and recorded next action. Intentional nurture, long procurement cycles, and other approved exceptions stay visible so the same deals are not flagged every week.
The classification should separate commercial follow-up from data hygiene. A customer request with no owner task may need immediate action. A high-value deal with a recent automated event but no human outcome may still be stalled. A deal can also look stale because a completed call lacks a note or the stage was never updated. The agent cites evidence and explains the missing decision rather than relying on deal value or days in stage alone.
Priority comes from consequence and timing. Ask for one proposed owner action, why it matters, and the latest useful date. The recommendation should not duplicate a completed task or assign work to whoever last touched the record. When evidence conflicts, the row becomes an owner question. Missing amounts, owners, or stages go to a separate cleanup queue.
Sales leaders review high-priority items and sample deals the agent cleared. Stage changes, new tasks, notes, and outreach drafts remain independent approvals. A later run compares resolved, new, and unchanged items, reducing repetitive pipeline meetings. The handoff gives the team a recovery queue grounded in customer activity while preserving the difference between a risky opportunity and a messy record.
Sampling cleared deals helps catch a rule that mistakes recent internal activity for genuine buyer progress.
Expected handoff
Return a ranked deal queue with source links, issue, consequence, action, owner, and due date, plus a short list of records requiring data correction. Stage changes, tasks, and outreach drafts should appear in separate approval sections.