CRM Hygiene & Ops Agent
Keeps your CRM clean every morning so the pipeline you report on is the pipeline you actually have.
Updated
Connects with
The problem it solves
Sales reports are only as good as the CRM behind them, and most CRMs quietly rot: stale deals with no next step, duplicate accounts double-counting pipeline, missing fields, and unlogged emails and meetings. This agent audits your records every morning, fixes the low-risk problems on its own, and surfaces the judgment calls for a quick approval so your forecast reflects reality.
Who it's for
- RevOps and sales operations managers who own CRM data quality
- Sales leaders and VPs who report off pipeline they need to trust
- Account executives drowning in manual data entry
- Small B2B teams without a dedicated CRM admin
- Agencies and consultants offering CRM data cleaning services to clients
What it does
- 1
Pull the records in scope
It loads only the records defined by your configured audit scope from your CRM, leaving everything else untouched.
- 2
Audit against your standards
Each record is checked against your field standards and staleness thresholds, logging every violation with the record, field, current value, and rule it breaks.
- 3
Log activity it can see
It scans connected email and calendar over your lookback window and attaches confidently matched emails and meetings to the right contact and deal.
- 4
Find likely duplicates
It scans in-scope accounts and contacts for probable duplicates at your chosen confidence level, never merging anything on its own.
- 5
Sort changes into auto or propose
Every intended fix runs through your auto-fix policy: safe ones apply immediately, judgment calls are drafted as approval requests.
- 6
Post the hygiene digest
It posts a scannable digest to your channel with three blocks: applied automatically, needs your approval, and flagged with no fix available.
- 7
Apply approved proposals
When a reviewer replies to approve specific numbered items, it writes exactly those to the CRM and nothing more.
Key benefits
- A forecast you can trust because past close dates, stale deals, and double-counted duplicates get caught daily
- Hours of manual data entry removed as emails and meetings log themselves to the right records
- Nothing irreversible happens without you: amounts, stages, close dates, ownership, and merges are always proposed, never auto-written
- One-click approvals replace hunting through the CRM for what changed
- A short morning digest that surfaces a handful of high-impact items instead of a wall of noise
- Your data standards enforced consistently across every in-scope record, every day
Sample use cases
A late-stage deal shows a close date that already passed, inflating the overdue-pipeline report.
The agent flags it and proposes a new close date based on the last meeting note, applied only after you approve.
Two accounts for the same company split open deals across them, double-counting pipeline.
It detects the likely duplicate by shared domain and open-deal overlap and proposes a merge for one-click approval, never merging on its own.
Reps had calls last week but the activity was never logged.
The agent matches the emails and meetings to the right contacts and deals and attaches them automatically, with anything ambiguous listed under couldn't auto-match.
An open deal in Proposal stage has a blank Amount and no next step.
It flags the record to its owner in the digest as an item needing human action, with no change made.
Key integrations
Salesforce
A supported CRM the agent audits, logs activity to, and applies approved fixes in.
HubSpot
A supported CRM the agent connects to via OAuth for auditing and cleanup.
Pipedrive
A supported CRM the agent can read and write records in.
Slack
The channel where the agent posts the daily hygiene digest and collects one-click approvals.
Email
Connected inbox the agent scans to log correspondence as CRM activity.
Calendar
Connected calendar the agent scans to log meetings against the matching contact and deal.
The gate is the whole point. Low-risk fixes apply on their own while judgment calls wait for an explicit approval, and you decide which is which through the auto-fix policy you set during onboarding. If the agent ever changes something it should have asked about, you move that rule into the propose bucket and re-run.
A healthy daily run surfaces a handful of items, not hundreds. If the digest becomes a wall of flags, the audit scope is too broad or the standards too strict for the data's current state, so you narrow to active pipeline and tighten the highest-impact rule first.
Getting started
- Import the workspace — Drag the template zip into the Gamut agent import dialog, or install it from the marketplace.
- Run the agent-onboarding skill — A setup session starts automatically and walks you through your CRM, channel, audit scope, field standards, auto-fix policy, and schedule.
- Give it a first task — Run a dry-run audit that makes no changes and shows every auto and propose item, so you can confirm the policy before trusting any writes.
Frequently asked questions
Does the agent change CRM records without my approval?
Only low-risk fixes like formatting, enrichment, and attaching logged activity apply automatically. Anything touching amount, stage, close date, ownership, or merges is always proposed for one-click approval, and an ambiguous change defaults to propose.
Which CRMs and systems does it work with?
It connects to a CRM such as Salesforce, HubSpot, or Pipedrive plus Slack for the digest, and optionally email and calendar so it can log activity. Accounts connect via OAuth, so no API keys are needed by default.
How is this different from doing CRM data cleaning manually or with a generic tool?
Generic CRM data cleaning solutions run on demand and dump bulk changes; this agent audits every morning against your own field standards, applies only what you've deemed safe, and proposes the rest in plain language. It is an always-on equivalent of the CRM data cleaning consultants a team would otherwise hire.
Will it catch duplicate accounts and contacts?
Yes. It scans in-scope accounts and contacts at your chosen confidence level and proposes merges, but never merges automatically because a wrong merge is hard to undo.
How does it log emails and meetings to the right record?
It scans connected email and calendar over your lookback window and attaches each item only when it confidently matches a single contact and deal. Anything ambiguous is listed under couldn't auto-match rather than guessed.
Is this CRM data cleaning service free, and what does it cost to run?
The template itself is free to import from the Gamut marketplace, and it uses OAuth connections rather than paid API keys by default. Your only ongoing costs are your existing CRM, Slack, and Gamut subscriptions.