1. Discovery and requirements.
This is the systems and data audit that scopes everything else: what data lives where, which teams do what, and what the CRM actually needs to do. It delivers a clear plan before anyone touches a configuration. Almost every serious implementation includes it, and skipping it is the fastest route to a rebuild.
2. CRM configuration and customization
As the name suggests, this is the build itself, piecing together the objects, properties, pipelines, and workflows that make the CRM fit how your bank actually works, instead of forcing your teams around a generic setup.
It delivers a system shaped around how your bank actually runs, your lending, deposit, and service workflows, so your teams move through their work instead of bending it to fit generic software. Some configuration is part of nearly every implementation; how deep it goes depends on how far your processes sit from the platform's defaults.
3. Data migration
A data migration moves your existing customer and account records out of your legacy systems and into the new CRM, cleanly, so the duplicates, gaps, and errors that built up over the years don't come with them. You need this only if you have data to bring over. A greenfield build skips it; a consolidation lives or dies on it.
4. Integration
This is where the CRM connects to your other systems, marketing automation, the core, the loan origination system, so data flows between them instead of sitting in separate tools. It is what stops the new CRM from becoming just another disconnected system, and where most of the real engineering happens.
5. Marketing automation setup
You set up the journeys, lead scoring, and triggered campaigns that turn your unified data into timely outreach. You need this only if marketing automation is part of the scope, plenty of CRM projects handle sales and service first and add automation later.
6. Compliance and security configuration
It sets the permissions, data protection, and controls that keep member and customer data handled in line with GLBA and your own policies. Always relevant for a bank, though the depth varies with how sensitive the data and how strict the institution.
7. Reporting and dashboards
The reports and dashboards built here give every team, and leadership, the same numbers to work from. That shared visibility is the difference between a CRM that informs decisions and one that just stores records.
8. Data quality and governance
This work keeps your data trustworthy over time, deduplicating records, matching them on a stable identifier, and naming a single source of truth for each field. It should be in every implementation, and it is the one most often scoped down to save time, and the one banks most often regret cutting.
9. Training and adoption
None of the above pays off if your teams don't use the system, so this step teaches people to work in the CRM and builds it into their daily process. It matters more than most banks expect, because poor adoption, not software limitations, is the most common reason CRM projects fall short.
10. Ongoing optimization and support
Last, the honest one. This happens after go-live rather than during the build, refining workflows, adding use cases, and fixing what real usage exposes. It is a separate, ongoing engagement rather than part of the implementation itself, so treat it as a retainer, not a line item in the build.
