Real operational problems, structured CRM solutions
Every MFD practice has a different starting point. These representative scenarios show how CRM design can address common operational gaps without making unsupported performance promises. Final scope and outcomes depend on data, team adoption and business processes.
Make missed follow-ups easier to identify
Give teams shared client and family context
Create visible ownership for service commitments
Support more consistent management reviews
What the system covers
What MFD CRM Case Studies covers
A focused set of modules and workflows configured around the way your practice operates.
Lead pipeline with mandatory next-action tracking
Every lead sits in a defined stage with an owner and a dated next action that cannot be left blank. This pattern makes it easy to spot enquiries that have gone quiet and to see which sources and team members need support.
Family-level client view after data cleaning
Once duplicates are resolved and investors are grouped into households, the team can see all family members, folios and open requests together. This view supports family reviews, servicing across members and clearer relationship-manager ownership.
Portfolio review calendar with assigned actions
Review frequency follows an agreed client segmentation, and each meeting produces action items with owners and due dates. The calendar shows which reviews are due, overdue or completed, so follow-through does not depend on memory.
Service request desk with ageing and escalation
Requests such as nominee updates, contact changes, SIP modifications or statement requests are logged with a category, priority and owner. Ageing views and escalation rules highlight anything open too long, before the client has to chase it.
DDQ evidence index with owners and review dates
Policies, training records, vendor details and other supporting documents are indexed by DDQ section, each with a named owner and review date. Requirements should be confirmed against current AMFI and SEBI guidance and reviewed by qualified professionals.
Management dashboard for workload and exceptions
A single dashboard shows open leads, pending reviews, aged service requests and overdue tasks by person or branch. Managers can see where work is building up and address it in regular team meetings instead of discovering it later.
Representative Scenarios
Implementation patterns by practice type
Illustrative examples of how CRM workflows are designed. They are not client results.
Solo MFD with a part-time assistant
Moving a solo practice off Excel and WhatsApp
Client details live in a personal Excel sheet, RTA downloads and WhatsApp chats. The assistant handles paperwork but cannot see which leads are pending or which clients are due for review, so follow-ups depend on the MFD remembering.
What gets built
Investor and family records created from cleaned Excel and RTA files
Lead pipeline with mandatory next actions
Review calendar based on an agreed client segmentation
Shared task list for the MFD and the assistant
Simple weekly dashboard of open leads, reviews and tasks
What to measure
Leads without a dated next action
Reviews due versus completed each month
Overdue tasks by owner
Duplicate or incomplete client records found after go-live
Growing MFD team with relationship managers and an operations executive
Giving a growing team a shared service desk
Service requests arrive by phone, email and personal WhatsApp to different team members. When someone is on leave, requests stall, and the owner has no view of what is pending or how long it has been open.
What gets built
Service request categories with priority and turnaround targets set by the practice
Routing rules that assign each request to an owner
Ageing views and escalation to the team lead or owner
Client communication log attached to each request
Handover view for team members on leave
What to measure
Open requests by age and category
Requests escalated past the agreed turnaround
Repeat requests from the same client
Requests closed with a recorded client update
Established practice with several years of RTA and back-office data
Building family-level context through a data migration
The client base has grown through referrals over many years. The same investors appear under different spellings, family members are not linked, and relationship managers cannot see a household's full picture before a review.
What gets built
Source inventory and field dictionary
PAN, name and contact normalization in a staging file
Duplicate review with merge decisions approved by the practice
Investor, folio and family mapping
Exception report for records that need manual follow-up
What to measure
Records remaining on the exception list
Families with a confirmed primary contact
Reviews prepared at household level
New duplicates created after go-live
Multi-branch distribution firm with branch heads and a central operations team
Management visibility across branches with DDQ readiness
Each branch runs its own process and reports in its own format. Management spends time collecting updates, and DDQ preparation depends on a few people searching for documents when a request arrives.
What gets built
Branch and role-based permissions
Common lead, review and service workflows across branches
Management dashboard for pipeline, activity and service ageing
DDQ evidence index with owners and review dates
Overdue alerts for documents and remediation items
What to measure
Branch-level pipeline and activity against plan
Service request ageing by branch
DDQ documents past their review date
Open remediation items and their owners
About these MFD CRM case studies: representative patterns, not client results
The scenarios on this page are representative patterns based on common operational problems in MFD practices. They do not describe specific clients and they do not report results achieved. Names, locations and numbers are deliberately left out.
Any client-specific case study would be published only with that client's permission. Until then, these patterns show how CRM design typically approaches each problem and what a practice would track to judge whether it is working.
Outcomes in a real implementation depend on data quality, team adoption, management follow-through and how consistently the process is used.
Common starting points for an MFD CRM implementation
Most practices come to a CRM project with one pressing problem rather than a full wish list. That starting point shapes what should be built first.
Leads and referrals that go quiet because nobody owns the next step
Duplicate and inconsistent client data spread across Excel and RTA files
Reviews that happen when someone remembers rather than on a set rhythm
Service requests lost in personal WhatsApp chats
No single view of workload across people or branches
DDQ preparation that depends on searching for documents at the last minute
How to read each implementation scenario
Each scenario describes a practice type, the situation before the CRM, what was configured and what the practice would measure. The measures are the signals a practice would watch after go-live, not outcomes that have been achieved.
They are deliberately operational. Counting overdue tasks, aged requests or completed reviews shows whether the new process is being followed, which is the first thing to confirm before looking at wider business effects.
Choosing the right first workflow for your practice
It is tempting to build everything at once. A focused pilot on one workflow gives the team a quick sense of how the CRM fits their day and gives management clean data to review.
A good first workflow is frequent, easy to measure and painful when it fails. For many practices that means lead follow-up or service requests. For practices with messy data, cleaning and family mapping often has to come first, because every other workflow depends on reliable client records.
Turning a pattern into a plan for your practice
If one of these scenarios looks familiar, the next step is to write down how the process works today: who is involved, where information sits and where it breaks down. That becomes the basis for designing the CRM workflow and agreeing the measures in advance.
Aina Tech follows the same sequence in each implementation: define the problem, agree what success looks like in operational terms, configure and pilot with real users, then review adoption before expanding.
Implementation Roadmap
From current process to working system
We start with how work happens today, then build and improve in controlled phases.
1
Step 1
Document the original operational problem
2
Step 2
Define the CRM workflow and success measures
3
Step 3
Configure, migrate and pilot with real users
4
Step 4
Review adoption, exceptions and next improvements
Frequently Asked Questions
Questions about MFD CRM Case Studies
Are these guaranteed results?+
No. These are representative implementation patterns. Results vary with business processes, data quality, team adoption and management follow-through.
Can you build a similar workflow for our practice?+
Yes, after reviewing your current process, responsibilities, systems and reporting needs.
Can a case study begin with only one workflow?+
Yes. A focused pilot such as lead management, review scheduling or service tracking is often a practical starting point.
Why do these case studies not name clients or show numbers?+
Client information and business results are confidential unless a client agrees to share them. Rather than publish unverified figures, this page describes representative patterns and the measures a practice would track. Any named case study would be shared only with the client's permission.
What should we measure after a CRM goes live?+
Start with operational measures tied to the workflow you built, such as leads without a next action, overdue reviews or aged service requests. Review them regularly in team meetings. Wider business measures become meaningful once the process is being followed consistently.
Can one practice combine more than one of these scenarios?+
Yes. Many implementations start with one scenario and add others in phases, for example data cleaning first, then lead management and later a service desk. Planning the data model with later phases in mind avoids rebuilding.
Aina Tech provides technology, implementation and process support. Final legal, tax, investment and regulatory requirements should be reviewed by qualified professionals.
Ready to explore MFD CRM Case Studies for your practice?
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