A B2B services firm was running complex client projects across disconnected tools — CRM data was stale, reports took 2 days to pull, and clients had no visibility into project status. We rebuilt the CRM from the data model up with AI-powered reporting that delivers insights in 10 seconds.
The firm managed a high volume of client projects across a combination of project management tools, time tracking software, and a legacy CRM that nobody trusted. When a client asked for a status update or a quarterly report, the team spent 1-2 days compiling data from multiple sources — manually copying numbers, rebuilding charts, and reconciling mismatched records.
The CRM itself had grown organically: custom properties nobody used, duplicate records, and workflows that conflicted with each other. The data model didn't reflect how the business actually worked — it reflected how the previous CRM consultant had set it up two years ago.
Meanwhile, clients were asking for more transparency. They wanted self-service access to project status, deliverables, and reporting. The existing tools couldn't support that without significant manual effort.
We started with a full CRM audit — every property, workflow, and report — to understand what was actually being used and what was just taking up space. From there, we designed a clean data model that reflected the firm's actual engagement lifecycle: inquiry, proposal, active project, milestone completion, renewal.
The migration itself was accelerated with AI-powered field mapping and deduplication. Instead of manually matching 3,000+ legacy contacts to new properties, we ran a GPT-4 pipeline that analyzed record patterns, identified duplicates, and suggested canonical mappings — reducing what would have been weeks of manual work to a few days.
We rebuilt reporting as automated dashboards connected to live CRM data, replacing the 2-day manual pull with real-time client-facing dashboards that update as project milestones are logged. The firm can now send a client a reporting link within 10 seconds of the request.
Report generation time dropped from 2 days to under 10 seconds — the time it takes to click a link and authenticate. Client-facing reporting speed tripled because the dashboards are always current. The AI-assisted migration itself ran 60% faster than a manual approach would have.
The data model is now something the team actually trusts. They can answer "how many active clients do we have in the financial services segment?" in under 30 seconds without pulling a spreadsheet. The CRM is a source of truth rather than a liability to maintain.
Client satisfaction improved notably — clients who had previously complained about "waiting on reports" now have self-service access and check dashboards without contacting the team. The firm reclaimed that communication overhead and redirected it to actual client work.