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Redomiciled: AI Matching Engine Increased Monthly Revenue by 33%
- Fabian Schlicht
- Apr 18
- 3 min read
"Silvercrest built us a complete AI backend that handles the structured parts of our work automatically. Our team now focuses on client conversations and approvals, not data entry and research." -Will Denton, Head of Strategy Redomiciled
Introduction
Redomiciled is a financial services company helping clients navigate residency and banking options across multiple jurisdictions. As their client base grew, so did the complexity of matching each client to the right residency and banking partner — a process that relied entirely on manual research, internal knowledge, and hours of back-and-forth.
The bottleneck was clear: a highly skilled team was spending too much time on structured, repeatable decisions that a system could handle better.
That's where Silvercrest AI came in.
The Challenge
1st Phase Client Onboarding and Bank Matching
Before working with Silvercrest, the entire matching process ran manually across 8 heavily involved and risk-prone steps.
Every new client triggered a chain of manual actions: profiling calls, individual bank research, manual outreach drafting, follow-up management, and report preparation for the final presentation.
Three core problems defined the situation:
Time sink — each client case required high manual effort across multiple team members
Quality risk — the process was prone to errors and inconsistencies
Capacity ceiling — with 7 clients onboarded per month, the team was at its limit
Scaling meant either hiring or rethinking the entire operation.
Solution: The AI Matching Engine
Automated AI-empowered 1st Phase Client Onboarding and Bank Matching
Silvercrest AI designed and implemented a complete AI Mtaching Engine — connecting clients, residency options, and banking partners end to end.
The system consists of three core components:
Client Profile Creation & Storage Agent
Automatically captures and structures client data from call transcripts, intake forms, and advisor notes into a unified, standardized profile — ready for matching without manual data entry.
Banks Database & Matching Engine
An AI agent that compares each client profile against a structured database of banking and residency partners, generates ranked matches with scoring explanations, and flags the best-fit options for advisor review.
Report Generation Agent
Automatically produces client-ready reports for each selected option — formatted and ready to present, without manual assembly.
The new process replaced 6 manual steps with a single human touchpoint: the advisor reviews AI-generated options and approves.
Everything else runs automatically.
The Results
ROI Analysis
ROI after 3 months: 2.5x
Revenue capacity unlocked in year 1:
+ €150,000
Time per client dropped from 4 to 3 hours.
Not because the team worked faster, but because the AI handles the research, profiling, and drafting that previously consumed the bulk of each case.
Manual steps were reduced from 8 heavily involved, error-prone tasks to 4 low-complexity approvals. The team now reviews and confirms, rather than researches and assembles.
Onboarded clients per month increased from 7 to 9.3 — a 33% capacity increase with the same headcount, enabled entirely by the reduction in time and effort per case.
Monthly revenue grew from €45,500 to €60,450 driven directly by the increase in client capacity, not by any change in pricing or sales effort.
Error risk in matching moved from medium to low — the result of structured, consistent data and a systematic matching process that removes human inconsistency from the equation.
What Changed
The results didn't happen by accident. Before implementing the AI Matching Engine, Silvercrest mapped Redomiciled's entire operation and ran a structured prioritization.
Identifying exactly where AI would create the most measurable impact.
Opportunity & Prioritization Matrix
The analysis was clear: Client-Bank Matching sat in the top-right quadrant — high business impact, achievable with low-to-medium implementation effort.
A Quick Win that would immediately free up team capacity and unlock revenue growth.
That's where we focused first.
The team no longer researches, matches, or drafts manually.
The AI handles the structured decision-making.
Advisors focus on client relationships and final approvals, the work that actually requires human judgment.
Redomiciled can now onboard more clients without adding headcount, with higher consistency and lower error risk across every case.
Testimonial
"Before working with Silvercrest, our matching process was entirely manual — every client required hours of research, drafting, and follow-up across residency and banking options. Silvercrest built us a complete AI backend (the AI Matching Engine) that handles the structured parts of our work automatically. Our team now focuses on client conversations and approvals, not data entry and research. We went from 7 to over 9 clients per month with the same team, and our monthly revenue increased by over 30%. The system paid for itself within the first quarter." - Will Denton, Head of Strategy Redomiciled
