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CRM & Data

CRMOS

Clean CRM data and automate revenue hygiene across the pipeline.

Setup

from $1,299

Subscription

from $249/mo

Deploy time

7-10 days

Problem

CRM accuracy collapses after 6–12 months of real usage. Duplicate contacts, missing company data, stalled deals that nobody touched, stage labels that don't reflect reality — managers lose trust in the pipeline and run the business from memory instead of data.

What it does

On a scheduled cadence (daily or weekly), the system scans CRM records for duplicates, merges or flags them, fills missing fields from enrichment sources, auto-advances deals when a defined activity rule is met (e.g., contract sent → proposal stage), flags deals with no activity in 14+ days, and generates a concise hygiene digest sent to the operations owner. Exceptions are routed to human review rather than auto-resolved.

Best for

Sales-driven SMBs, real estate agencies, B2B services, recruitment firms

Setup scope

CRM audit and field mapping, deduplication rule design, enrichment source configuration, stage-advance trigger logic, exception routing, hygiene report template, and full pipeline test on live CRM data.

Monthly support

Weekly hygiene report delivery, deduplication accuracy review, enrichment source health check, deal-stage rule tuning, and escalation path for complex exception cases.

Expected outcomes

Restore leadership trust in pipeline data
Reduce manual CRM cleanup to near zero
Surface stalled revenue before it falls out of forecast

Payback signal

2-4 prevented manual escalations

Typical break-even target for a first deployment conversation.

ROI lens

This system is designed to pay back when it reduces CRM cleanup and revenue hygiene enough to protect about $747 in monthly value.

Monthly value target

$747

Primary lever

CRM cleanup and revenue hygiene

Deployment model

Manual setup + monitored subscription

Implementation example— Sales-driven SMB

Before

  • CRM holds hundreds of duplicate and stale contact records
  • Pipeline stages updated manually — deals sit unchanged for weeks
  • Manager reviews a pipeline nobody trusts for forecasting
  • Revenue leaks from deals that go silent with no alert
  • Monthly pipeline review starts with data cleanup, not decisions

After FlowOps

  • Duplicate records merged and stale contacts flagged each week
  • Stage rules applied automatically based on CRM activity
  • Deals idle 7+ days flagged to owner with last-action context
  • Manager receives a weekly hygiene report with a clean pipeline view
  • Forecast reflects reality, not optimistic stage labels

Signal — Restoring CRM trust typically surfaces 2–4 recoverable stalled deals in the first cleanup cycle.