1.2M+
Records Migrated
98.9%
Data Fidelity
81%
Daily Active Users
30%
Productivity Increase
The Challenge
AtlasMed Solutions, a growing healthcare SaaS company, had reached the limits of its legacy systems.
Sales operated in Zoho CRM. Support relied on a custom ERP. Marketing data lived elsewhere. Teams worked hard — but not together.
- Leadership lacked a real-time view of the business
- Users struggled with inconsistent workflows across systems
- Legacy architecture wasn't built to scale with the company
AtlasMed needed more than a migration. They needed a single system people would actually use.
Fragmented systems, consolidated into one
The Goal
Replace fragmented tools with a unified Salesforce platform — without losing data, disrupting teams, or sacrificing usability.
Success wouldn’t be measured by go-live alone, but by how people worked afterward.
The Approach
We started with discovery — not configuration. Before touching Salesforce, we spent two weeks mapping stakeholders across sales, support, and leadership. Each team had different mental models of the same data. Understanding that gap was the first design decision.
The data migration itself involved over 1.2 million records spanning accounts, contacts, cases, and custom objects from Zoho and the legacy ERP. We built a phased migration pipeline with per-record validation, transformation rules, and automated reconciliation reports. Nothing moved without a checksum.
Custom objects and workflow automation were designed around how teams actually worked — not how Salesforce expected them to work. That meant field-level interviews, workflow observation sessions, and prototype reviews before a single Flow was deployed.
User adoption was treated as a first-class design concern from day one. We ran role-based training, produced plain-language documentation, and embedded a feedback loop during the first 30 days post-launch. The goal wasn’t a clean cutover — it was a system people would choose to use.
Results
98.9% data fidelity wasn’t a target — it was a constraint. In healthcare SaaS, a record that migrates incorrectly isn’t just a data error. It’s a broken relationship, a missed follow-up, a support case that falls through the cracks. Getting the data right was the foundation everything else was built on.
81% daily active users is the number we’re most proud of. Most CRM rollouts plateau at adoption rates that look fine in a report but reveal themselves in workarounds — spreadsheets, sticky notes, tribal knowledge. AtlasMed’s teams actually showed up in Salesforce, every day, because the system made their work easier.
The 30% productivity increase emerged from eliminating the switching cost between systems. Time previously spent copying data between Zoho, the ERP, and spreadsheets was reclaimed. That’s not automation — that’s just removing friction that should never have existed.
Impact
For the first time, AtlasMed’s leadership had a live, unified view of the business. Pipeline health, support queue depth, and customer health scores lived in one place — visible without a dashboard request or a data export. Decisions that used to take days of preparation now happened in the room.
Beyond the numbers, the migration created a foundation for growth. New hires onboard to a single system. Sales, support, and marketing share a common language around the same data. When AtlasMed is ready to add the next capability — AI-assisted forecasting, deeper integrations, expanded reporting — the platform is ready for it.
What We Learned
01
Migration is a design problem, not just a data problem
Field mapping and ETL pipelines are necessary — but the real work is understanding how people think about their data and designing a system that matches that mental model.
02
Adoption starts before go-live
The teams who showed up on launch day were the ones who had been involved in the design process. Inclusion builds ownership, and ownership drives use.
03
Data fidelity is trust — lose the data, lose the team
A single high-profile data error can undo months of goodwill. The 98.9% fidelity rate wasn't just technical accuracy — it was the credibility that made adoption possible.
04
The system people use is the system you designed for them
If users work around your system, the system failed — regardless of what went live. Design for the actual workflow, not the ideal workflow.
A migration isn't done when the data moves. It's done when people stop asking for the old system.