How do you surface stale deals the day they go quiet?
A pipeline hygiene AI Employee that scans your CRM every day for stale deals, missing next steps, deals stalled in a stage, and overdue tasks, nudges the owning rep in Slack, and escalates the worst offenders to their manager. It flags and nudges, and never touches a deal's stage, owner, or amount.
×
This is a different problem than dirty CRM data. Duplicate contacts and missing job titles are a data quality issue; a deal that hasn't moved in three weeks is a process issue. The pipeline itself is not doing what it's supposed to do, which is progress toward a close. A stage by stage pipeline report can't tell the difference between a deal that's actively advancing and one that's been quietly parked, because both show up the same way: open, sitting in a stage, counting toward the forecast. The usual fix is the weekly pipeline review, where a manager scrolls every open deal looking for the ones that have gone stale. By the time that meeting happens, a deal that went quiet on Monday has already lost a week, and the review only catches what someone remembers to ask about. Reps are heads down selling, not auditing their own deal hygiene, and a next step field or a close date left blank rarely gets attention until forecast time, when it's too late to fix cheaply.
The pipeline hygiene AI Employee runs every day with read mostly access to your CRM. It pulls every open deal and checks it against four hygiene rules: no logged activity in the configured window, a missing next step or close date, no stage movement past the configured window, and any overdue task tied to the deal. It flags what it finds, nudges each owning rep in Slack with exactly what needs attention, and separately escalates the day's worst offenders to the sales manager's channel. It never changes a deal's stage, reassigns its owner, or edits its amount.
See exactly how the work gets done.
Runs on a daily schedule
A scheduled run fires once a day inside your own environment: one day, one run, nothing carried over. The pipeline is rescanned from its current state every morning.
Carries the hygiene rules as a skill
What counts as stale, stalled, or overdue travels with the AI Employee as a skill: the no activity window, the stage stall window, what a missing next step or close date looks like, and how the day's worst offenders are chosen for escalation. When the team's definition of stuck changes, the rule changes, not the AI Employee's judgment call.
Connects to the CRM read mostly
It reads deals and stage history, activities, and tasks, and writes only a hygiene flag back onto the deal, and no other field. Credentials stay in memory, never written to disk, never exposed to the model.
Checks four rules in one pass
For each open deal it looks at logged activity against the no activity window, a missing next step or close date, time sitting in the current stage against the stage stall window, and any overdue task tied to the deal.
Stays read mostly on the data
The only write it ever makes is an internal hygiene flag on the deal: never the stage, never the owner, never the amount. It cannot reassign, advance, or touch the number tied to a deal, no matter what the data suggests.
Nudges the rep, escalates the worst
Each flagged deal gets a Slack nudge to its owning rep, saying what's wrong and what to do about it, and at the end of the run the deals in the worst shape get escalated to the sales manager's channel. The rep and the manager decide what happens next; the AI Employee only reports.
Runs in your environment
Every run is isolated inside your own infrastructure. Only the hygiene flag write and the Slack messages leave it; your data never leaves your environment.
Read mostly on the CRM
Its only write is an internal hygiene flag on the deal. It never changes a deal's stage, reassigns its owner, or edits its amount. Those decisions stay with the rep and the manager.
Nudge and flag only
Its output is a Slack message or a flag; it never takes an action on a rep's behalf.
Credentials stay protected
The CRM credential connects with permissions you set, stays in memory, never written to disk, never exposed to the model or the logs.
You own every rule
The staleness window, the stage stall window, and the escalation criteria are yours, versioned and changed on your terms, not in a vendor dashboard.
The deals that used to sit quietly until the next pipeline review now surface the same day they go stale, with a nudge to the rep who owns them and an escalation for the ones a manager should already be watching. The AI Employee only flags and nudges; the rep and the manager still decide what moves.
Every day
Open pipeline rechecked against the current CRM state
4 rules
Stale, missing fields, stalled stage, and overdue tasks in one pass
Read mostly
Stage, owner, and amount are never touched by the AI Employee
Our free AI audit shows you where AI fits, what your security risks are, and gets your first AI employee working.
How do you draft a full RFP response without starting from scratch?
Parses each incoming RFP, drafts a full response from your vetted answer library and product docs, and flags every question it can't answer confidently. It drafts only and never submits.
×How do you walk into every renewal already prepped?
Surfaces every account 90/60/30 days from renewal with a usage packet and drafted outreach, and flags at risk accounts for the owner. It preps and drafts; the account owner sends, and it never touches price.
×How do you learn why deals are won and lost every week?
Reads closed deals from your CRM every week and posts the patterns by segment, competitor, price, and stage of death to Slack. Read only, one post per week, it never writes back.
×