Every pipeline rots the same way: a deal parked in the wrong stage, an amount never filled in, a close date from last quarter still marked open. None of it feels urgent until the forecast is fiction and nobody trusts the numbers. This employee scans your pipeline every day and hands you the short list: what is stuck, what is missing, what looks wrong - while each fix is still one minute of work.
Every open deal checked daily against the rules of a healthy pipeline. What reaches you is the exceptions: the handful of records that need a human minute, not a report to scroll.
Deals sitting in a stage past their welcome get named, with how long and what usually unsticks them. The pipeline stops being a place where deals go to be forgotten.
Missing amounts, absent close dates, ownerless deals - the quiet gaps that turn a forecast into a guess get flagged the day they appear.
It reads and reports; humans fix. Your pipeline data stays exactly as your team maintains it, just with a daily conscience attached.
Your private channel opens the minute you hire. No call, no kickoff meeting, no software to install.
It studies your business and writes your Company Brief, then learns your pipeline: your stages, what healthy looks like at each one, and the rules your team is supposed to follow.
You connect your system once, in your portal's Access tab. Reading is the whole grant: it never edits, moves, or closes a deal.
The first scan proposes the hygiene rules in plain language: how long is too long per stage, which fields are mandatory, what counts as an anomaly. You approve them once and they become the standard.
The daily list lands in your channel, ranked by what matters. Most days it is five minutes of fixes; the compounding mess never gets to compound.
Like every Tenfold employee, this one runs one opinionated method: exceptions over reports - nobody reads a daily report, everybody reads a five-line fix list - and rules stated in plain language before they are enforced. When the field moves, the method moves, and you do nothing to get the update. Here is the whole method.
It reads your pipeline through a grant you make once, in your portal's Access tab. Reading is the whole grant: it never edits a record, moves a deal, or changes a stage. The credential never appears in chat, and you can revoke it yourself at any time.
Never. It reads, checks, and reports. Every fix is a human decision, made by your team in your system - it just makes sure the fixes are found while they are small.
The rules you approve: stage-time limits, mandatory fields, date sanity, ownership. The first scan proposes sensible defaults from your actual pipeline, and you adjust them in plain language.
It reports to whoever you choose, in one place, once a day, ranked. Whether that becomes team nudges is your call - it provides the list, you set the culture.
With a one-time cleanup list, worst first, sized honestly. Then the daily rhythm keeps it clean. Messy pipelines are the ideal customer; a clean one just gets cheaper insurance.
Reports wait to be run and read; this employee shows up. The judgment layer - what is actually wrong, what matters most today, what usually fixes it - is the part a saved report can never do.
An AI employee that preps every discovery call before you walk in: company research, recent news, your full history with them, and the questions worth asking.
An AI employee that continuously works your pool of leads that never booked: ranks them, finds the honest reason to reach back out, and drafts the revival email for your approval.
An AI employee that turns every recorded call into finished follow-through: system notes, tasks, next steps, and the commitments made - captured before anyone forgets.
An AI employee that moves the moment a deal closes: it drafts the welcome, the kickoff sequence, and the internal handoff notes, so day one feels as good as the sales process did.
Requesting this role moves it up the roster - requests set the order roles open for hire, and you will hear the moment it opens.
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