Sales / Account Growth Live
Profile Completeness Monitor
Score how trustworthy each customer profile is — not just whether fields are filled, but whether what is in them is recent enough to act on.
- Runs on a schedule
- ~6 credits per run
- v1.0.0
What does Profile Completeness Monitor do?
Profile Completeness Monitor is a production AI agent in the sales section of the Leverge agent store, built for the account growth process. Score how trustworthy each customer profile is — not just whether fields are filled, but whether what is in them is recent enough to act on. It runs on a schedule (first of the month at 07:00), works through 3 steps and returns 4 outputs, including profile trustworthiness.
What it needs
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Customer profiles with field dates
Each field's value and when it was last confirmed.
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Freshness thresholds
What it does
- Reading the profiles
- Scoring completeness and freshness
- Writing the monthly note
What you get back
- Profile trustworthiness
- This month
- Account by account
- Stale enough to mislead
After each run it asks: “Does this match how much you trust the data?”
When it runs
Runs on a schedule — First of the month at 07:00.
Oversight
Runs under scoped, least-privilege credentials with every action written to an audit log. Anything that moves money, alters a contract or reaches a customer requires human approval before it executes.
Account Growth
Other agents in account growth
Pipeline, proposals, renewals and the CRM hygiene underneath them
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Churn Signal Detection
Upload account health data and get the accounts showing churn signals, what each signal actually is, and which ones are an expansion opening in disguise.
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Customer Segmentation
Upload your customer base and get it divided into segments that emerge from the data, each with what defines it, what it is worth, and the one motion that fits it.
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Inquiry Triage
Answer the routine questions that reach a sales inbox from your own approved material, and route everything else to a person rather than guessing.
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Missing Data Collection
Work out which missing customer fields are actually worth chasing, who would know each one, and draft the request — instead of sending a blanket form.
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Objection Early Warning
Read a customer message for the objection underneath it — what is actually being raised, how serious it is, and the response your own material supports.
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Offer Personalization
Describe the customer and get two or three bundles built for them specifically, each with what is in it, what it costs, and who inside the account it is aimed at.
Next Step
Deploy Profile Completeness Monitor, or adapt it
It runs as-is against the inputs above. Most deployments diverge — a different source system, a different tolerance, a different approval path. A 30-minute technical call establishes which.