Financial Services

Product Design for Financial Services

Product Design for financial services, built around the constraint that defines the sector: every automated decision must be explainable and reproducible months after the fact.

Regulations in scope
5
Systems we integrate
5
Typical first release
6 weeks

What changes when it is financial services

We sequence by what each release teaches you. Building the riskiest assumption first feels uncomfortable and saves the most money.

In financial services, every automated decision must be explainable and reproducible months after the fact. That single fact reshapes how product design has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is reconciliation, usually integrated against loan origination. We start from the constraint, not the capability, what the system must never do, who signs off, and what happens when it is wrong.

Deployed across regulated and unregulated sectors, with audit trails where the regulator expects them. You own the code, the models where they are open-weight, and the documentation to run it without us.

The sector constraints we design around

Defining constraint
every automated decision must be explainable and reproducible months after the fact
Regulations in scope
RBI guidelines · SEBI regulations · DPDP Act 2023 · PMLA and AML rules · IRDAI where insurance applies
Systems of record
core banking · trading and OMS · loan origination · SAP and Oracle financials · regulatory reporting platforms
Where we usually start
credit memo drafting

Product Design workloads in financial services

  • credit memo drafting
  • KYC and onboarding checks
  • regulatory report assembly
  • reconciliation
  • client communication review

What is included

  • Problem framing before solution work. Most product failures start here
  • User and stakeholder interviews with findings you can disagree with
  • Opportunity mapping and ruthless prioritisation
  • Concept prototypes tested with real users
  • A defined first version with explicit out-of-scope
  • A roadmap that sequences by learning, not by feature list

Questions from this sector

Can we use AI in credit decisions?

With explainability, documented model governance and human review on adverse outcomes, yes. RBI expects you to be able to explain any decision that affects a customer.

How do you handle data residency?

Deployment inside Indian regions or on your own infrastructure, which is the usual requirement for regulated financial data.

How is this different from UI/UX design?

UI/UX designs the solution. Product design decides what the solution should be, which problem, for whom, and what the smallest version that proves it looks like.

How long does discovery take?

One to three weeks for most engagements. Longer than that and findings start going stale before anyone acts on them.

What if discovery says we should not build it?

Then it has paid for itself many times over. That outcome happens and we report it plainly.

Product Design for financial services, worth a conversation?

Tell us the workload and the regulation it sits under. We will tell you what is realistic.

Or email bd@dtrasglobal.com · call +91 74118 77878