💼Financial services automation

A financial-services CRM the team can finally trust

A financial-services firm we worked with had a CRM full of duplicates, half-filled records, and data that disagreed with their other tools. We cleaned it once, then automated dedupe, enrichment, and cross-platform sync so it stays clean. The figures below are representative of this kind of build, not a single audited account.

🎯The problem

A CRM nobody trusted was costing real money

In financial services, the contact record is the business. Advisers need to know who a client is, what they hold, when they were last contacted, and what was said, without second-guessing the data. When the CRM is full of duplicate contacts, three spellings of the same company, and fields left blank, every adviser quietly keeps their own spreadsheet, and the CRM stops being the source of truth.

The firm we worked with had years of build-up: leads imported from different sources, duplicates from advisers entering the same person twice, and a CRM that disagreed with the email platform and the billing system. The cost was not abstract: hours lost every week reconciling records by hand, missed follow-ups because the right contact was buried under a duplicate, and reporting nobody believed. Compliance teams in this space also need an audit trail, which a messy CRM cannot give.

🧭The approach

Clean it once, then keep it clean automatically

A one-off cleanup that is not maintained just slides back into mess. So we split the work in two: a careful one-time dedupe and standardisation pass, then automation that catches new duplicates and gaps as they appear and keeps every connected tool in sync. Deterministic rules decide what merges; the AI only helps match and fill, with humans approving anything ambiguous.

1

One-time cleanup

We profiled the data, standardised company and contact formats, merged duplicates on clear rules, and flagged the ambiguous cases for a human to approve. Nothing destructive ran without a reviewable record, which matters in a regulated space.

2

Ongoing dedupe and enrichment

A workflow now checks new and edited records for duplicates and missing fields, enriches them from trusted sources, and either fixes them on clear rules or routes the doubtful ones for a quick human decision. The mess stops rebuilding itself.

3

Cross-platform sync

The CRM, email platform, and billing system are kept in agreement, so a change in one place flows to the others and the numbers finally line up. One clean source of truth that every tool and every adviser reads from.

⚙️The build

The actual stack

Config-driven and documented for handover, with a reviewable audit trail on every automated change.

  • n8n as the orchestration layer for the cleanup pass and the ongoing dedupe, enrichment, and sync jobs, with visual debugging and no execution timeouts on large batches
  • HubSpot as the system of record, with deterministic merge and standardisation rules applied to contacts and companies
  • Claude to help match likely duplicates and normalise messy fields, drafting suggestions that humans approve, never auto-deciding the ambiguous merges
  • Apify and trusted data sources for enrichment, filling missing company and contact details
  • Google Sheets and BigQuery for the data profiling, the review queues, and the reconciliation against the email and billing tools
📈Before and after

The CRM went from a thing advisers worked around to a thing they work from. Records reconcile themselves, duplicates get caught as they appear, and the reporting finally matches reality. The side spreadsheets are gone.

~8-12 hrs/wk
of admin and reconciliation time saved across the team once the cleanup and sync went live
  • Thousands of duplicates merged in the one-time pass, with the ambiguous cases reviewed by a human first
  • Ongoing, not one-off new duplicates and gaps caught automatically instead of rebuilding over time
  • Three tools in agreement CRM, email, and billing kept in sync so the numbers line up
  • One source of truth advisers stopped keeping side spreadsheets and reporting became trustworthy, with a reviewable audit trail
The outcome

Clean data that stays clean

The firm got back the hours it was spending reconciling records by hand, and got something harder to price: a CRM the whole team trusts. Follow-ups stopped slipping through the cracks of duplicate records, reporting started matching the billing system, and every automated change leaves a trail compliance can review.

Because the dedupe and sync run continuously, the cleanup does not have to be repeated every year. Most first builds of this kind go live in 7 to 14 days, phased so the one-time pass is signed off before the ongoing automation switches on. If your team keeps side spreadsheets because they do not trust the CRM, a free audit will show you why and what to fix first.

📬Contact

Want a CRM your team actually trusts?

Book a free audit. We will map where your data goes wrong and show you exactly what to clean and automate first. One reply, no mailing list.

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