Case Study

Banking enquiry infrastructure for Redomiciled

Banking enquiry infrastructure for Redomiciled

Redomiciled is an international banking consultancy in Hong Kong, connecting internationally mobile clients and businesses to more than 170 banking and financial partners across 48 jurisdictions.

Services

Workflow & CRM Integration

Document Processing

Hong Kong harbour skyline at dusk
Redomiciled

Industry

International Banking

Company Size

10 Employees

Timeline

6 Months

170

+

Partners reached on every enquiry

170

+

Partners reached on every enquiry

170

+

Partners reached on every enquiry

30

%

More monthly revenue in year one

30

%

More monthly revenue in year one

30

%

More monthly revenue in year one

January 2026

One enquiry. The right banking relationships.

One enquiry. The right banking relationships.

Redomiciled

"We work with more than 170 banking partners around the world, so it is important that our clients get visibility across the full network rather than just a handful of institutions. Silvercrest AI essentially connects our entire banking network through one channel."

William Denton, founder of Redomiciled

William Denton

Founder & Head of Partnerships · Redomiciled

The assessment

Three weeks to find the process worth rebuilding first.

Three weeks to find the process worth rebuilding first.

Before building anything, we ran an AI opportunity assessment across Redomiciled's client journey. We interviewed the founders, mapped every step from first enquiry to bank onboarding and marked each point that depended on manual follow-up, memory or copy and paste. The map made the bottleneck visible: matching each client to suitable banks ran through one person, across messaging apps, email and spreadsheets. We placed eleven opportunities on an impact and effort matrix. Three quick wins stood out, led by client-to-bank matching, followed by a central client record and automatic CRM updates. The assessment closed with a validated process map, a return estimate and a 90-day roadmap that the team signed off before the build began.

Opportunity and prioritisation matrix from the Redomiciled AI opportunity assessment, with client-to-bank matching, a central client record and automatic CRM updates marked as priorities

The challenge

A network of more than 170 banking partners, and every client only ever saw two or three of them.

A network of more than 170 banking partners, and every client only ever saw two or three of them.

Knowledge of which bank suited which client lived in the founder’s head, inbox and spreadsheets. Each enquiry went to only a few institutions, leaving most of a 170-plus partner network unused. Our role was to build around that banking relationship model: anonymise the client profile, reach relevant partners through one channel and bring their responses back before the first client meeting.

The approach

Instead of predicting which bank would say yes, we built a way to ask all of them at once.

Instead of predicting which bank would say yes, we built a way to ask all of them at once.

The client profile is anonymised and distributed across the relevant partners through a single channel, so institutions can assess the opportunity and bid for the business without sensitive details being shared upfront. The answers come back before the first client meeting, which means options and reasons replace research.

From enquiry to prepared options

The workflow keeps the founder's judgement where it matters and takes the chasing out of everything around it.

01 →

01 ↓

Build the client profile

Build the client profile

The intake form, the verification call and the founder's notes become one structured, anonymised client profile, stored with the client record.

02 →

02 ↓

Reach the right partners

Reach the right partners

The profile is matched against the partner database and a personalised enquiry is drafted for every relevant institution. Nothing goes out before the founder approves the list.

03

Compare the answers

Compare the answers

Replies are collected and followed up automatically, then narrowed to the strongest options, each with a short summary for the client meeting.

The founder stays in control

Every enquiry passes a human approval step before it reaches a bank, and client details stay anonymous until an institution shows interest.

At a glance

The new client-to-bank workflow

The new client-to-bank workflow

From a customer enquiry to suitable banking options, with approval before outreach.

Connected project workflow in four steps

The details

What we built, and how the project ran

What we built, and how the project ran

What we built

  • A central client record that replaces separate spreadsheets and chat threads

  • A profile step that combines the intake form, call notes and the call transcript into one structured, anonymised profile

  • A partner database holding each institution's focus and contact route

  • Personalised enquiries drafted for every relevant partner and sent only after approval

  • Automatic follow-up and structured collection of replies

  • A short summary per option, ready before the client meeting

How the project ran

  • Weeks 1 to 3: AI opportunity assessment, process map, prioritisation and roadmap

  • Months 1 to 2: client record, partner database and profile step

  • Months 3 to 4: enquiry drafting, approval step, follow-up and reply handling

  • Months 5 to 6: run-in with live enquiries, refinements and handover to the team

Person typing on a laptop at a white desk

The Results

What changed for the team

Redomiciled now puts its entire partner network behind every enquiry instead of a handful of institutions. The founder is no longer in the middle of every mandate, and client meetings start with prepared options.

Redomiciled now puts its entire partner network behind every enquiry instead of a handful of institutions. The founder is no longer in the middle of every mandate, and client meetings start with prepared options.

The full partner network is reached on every client enquiry

Client details stay anonymous until an institution shows interest

Options and reasoning are ready before the first client meeting

About a third more clients a month with the same team

The system paid for itself within the first quarter

See a similar opportunity in your team?

We look at your process, your systems and the result you need. Then we agree a sensible first step, from assessing the opportunity to building and supporting it.

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More team capacity*

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First-year ROI*

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* Based on figures collected from our client projects. Results vary by scope and starting point.

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Tell us what you want to change, and we will tell you what we would do first.

We’ll review your message and agree the next step with you.

Let's find your first quick win.

Process and data flow map

Impact and effort assessment

Clear next steps & timeline

Sofia Kakkava, Founder of SK Consulting
HotelQuote CEO
Oliver Mascarenhas, Head of Sales at Centtrip
Hans Hahn
Nikolaos Baziotis, CFO / CIO at Premia Properties

Trusted by leading organisations across industries

30%

More team capacity*

200%

First-year ROI*

15+

Long-term clients

* Based on figures collected from our client projects. Results vary by scope and starting point.

Silvercrest AI

Silvercrest AI

Tell us what you want to change, and we will tell you what we would do first.

We’ll review your message and agree the next step with you.

Let's find your first quick win.

Process and data flow map

Impact and effort assessment

Clear next steps & timeline

Sofia Kakkava, Founder of SK Consulting
HotelQuote CEO
Oliver Mascarenhas, Head of Sales at Centtrip
Hans Hahn
Nikolaos Baziotis, CFO / CIO at Premia Properties

Trusted by leading organisations across industries

30%

More team capacity*

200%

First-year ROI*

15+

Long-term clients

* Based on figures collected from our client projects. Results vary by scope and starting point.

Silvercrest AI

Silvercrest AI

Tell us what you want to change, and we will tell you what we would do first.

We’ll review your message and agree the next step with you.