Duplicate record rate
A simple, visible measure of whether the cleanup worked and whether it is holding.
An agency management system collects years of habits: duplicate client records from re-quotes, prospects never marked lost, policies with the wrong line-of-business code, missing producer assignments, and X-dates kept in personal spreadsheets. None of it stops the agency from working, but it makes book-of-business reports unreliable and hides cross-sell and X-date opportunities the agency already paid to find.
CRM and AMS cleanup for an insurance agency is a structured project: agree what good data looks like, fix the worst problems in bulk, then put simple rules and checks in place so the mess does not return. It matters most before a system migration, a perpetuation or sale conversation, a carrier review, or any attempt to automate renewals and follow-up.
With the owner and operations lead, agree a short list of required fields, naming conventions, status definitions and who owns each, written in plain language.
Export key tables and count duplicates, missing X-dates, blank producer codes and inactive prospects, so the cleanup scope is based on numbers instead of guesses.
Use the system's own merge and import tools, or vendor services, to correct codes and merge duplicates in batches, reviewing a sample before each change.
Move X-dates and open opportunities from producer spreadsheets into the system through a simple import, then retire the spreadsheets for good.
Set required fields, saved exception reports and a short monthly review so new problems are caught early instead of rebuilt into the next cleanup.
How we deliver this: AI automation for small business or fractional CTO leadership, scoped in writing and run over 90 days. See pricing or the sample scope.
A simple, visible measure of whether the cleanup worked and whether it is holding.
Shows whether the prospecting pipeline is usable for follow-up campaigns.
If codes are right, the hours spent fixing reports should fall.
A practical check on whether contact data is current.
Illustrative example: an agency owner planning a sale in a few years wants a clear view of the book. An export shows several thousand prospect records, many with no status, and duplicate households split across two producers. Over six weeks the team merges duplicates in batches, marks stale prospects lost with a reason, imports a few hundred X-dates from producer spreadsheets and sets required fields. The agency then tracks how many manual fixes its monthly production and retention reports still need.
In the first 30 days we would export clients, prospects and policies, measure duplicates and missing fields, and ask producers and account managers which reports they distrust and why. Then we write a one-page data standard with you and agree which fixes come first and how we will know they held.
Before, almost always. Migrating messy data moves the problem into a new system and often adds conversion errors on top. Cleanup also reduces the volume being converted. If a switch is already underway, we would focus on the highest-value fixes, such as duplicates and active policy codes, before the conversion cutoff.
Vendors like Applied and Vertafore offer services and tools, and they are worth using for bulk fixes. What they cannot do is decide your rules: what counts as an active prospect, how producers are assigned, which codes you report on. Those are business decisions that someone has to own, and that ownership is the part we would lead.
It depends on size and how far records have drifted. For a typical small to mid-size agency, a focused cleanup of the most important records can fit within a 90-day engagement, with the first month spent on rules and measurement. Perfecting every historical record is rarely worth the cost, so we prioritize what reports and workflows use.
Illustrative defaults for an insurance agency. Replace them with your numbers.
a month in staff time, before any lost sales
Illustration only, not a forecast or guarantee. Recovered staff time becomes a cash saving only if spending actually declines or the time goes into paid work. Tool costs are an assumption; we replace every number here with yours before recommending a scope.
CRM setup and cleanup: full guide
In 30 minutes we look at one recurring workflow, what it costs you today and whether there is a credible case to improve it. If there is not, we will say so.
30 minutes with Phil or Martin. No technical brief, no pitch deck. Phil or Martin replies personally, usually within one business day.