Case Study

Meridian Growth Partners

A financial advisory firm came to us with a scaling problem: 10+ hours of admin work per client onboarded, inconsistent processes across advisors, and follow-ups falling through the cracks. We automated their CRM workflows and saved 400 hours and $38,366 annually, without hiring.

Year:

2025

Industry:

Financial Advisory

Team:

11 people

Live website:

https://templifica.com

The Problem

Every client meeting triggered 10+ hours of admin work: task creation, meeting scheduling, recap emails, CRM updates, and action item assignments. With 40 new clients a year, that's 400 hours of copy-paste work

The firm lacked operational infrastructure to scale. Every advisor had a different process. No standardization, no system, just memory and manual entry. Without automated tracking, follow-ups fell through the cracks: delayed responses, forgotten tasks, unhappy clients. Onboarding timelines varied wildly depending on who handled the client, and advisors spent their time on logistics instead of building relationships.

Saved per client onboarded

10 Hrs

Saved per client onboarded

10 Hrs

Saved per client onboarded

10 Hrs

Redirected to higher value work

400 Hrs

Redirected to higher value work

400 Hrs

Redirected to higher value work

400 Hrs

Operating costs recovered

$38k

Operating costs recovered

$38k

Operating costs recovered

$38k

Solution

We documented every step of the onboarding process for each division, then automated the parts that didn't require human judgment. The approach focused on workflow mapping, intelligent triggers, and building a foundation for future AI integration.

The solution rolled out in three steps: First, we mapped each division's unique onboarding process from initial contact through engagement and created accurate workflow templates within the CRM. Then we built automated workflows that trigger based on client stage. Follow-up emails send automatically, meetings get scheduled, task lists generate with no manual entry required. Finally, we identified opportunities to layer in AI tools for document processing and predictive scheduling. Why this worked: Standardization first: Documented processes before automating them. No more "it depends on the advisor." Stage-based triggers: The right tasks appeared at the right time without anyone remembering to create them. Built to expand: The foundation supports AI integration as the firm grows.

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