Digital transformation for financial services
Digital transformation for banks, insurers and regulated enterprises.
Request your blueprint
A two-week structured assessment. Higher perceived value than a call, matched to a higher-consideration buyer.
Trusted by 200+ enterprises since 2010. Delivery teams in the US, UK, India and Malaysia.
Transformation is harder when you cannot stop the machine
Availability
The core cannot
go down
Traceability
Every decision must be reconstructable
Model risk
The model risk conversation now includes AI
Residency
Data cannot leave the perimeter
Where we start
Core & platform modernisation
Legacy migration to a governed lakehouse, with parallel run and reconciliation.
Measure: reconciliation variance
Regulatory & risk reporting
Automated, lineage-traced reporting pipelines.
Measure: reconciliation variance
Lending & credit decisioning
Business rules engines: faster approvals, fewer errors, tighter risk management.
Measure: decision latency
Customer 360
A unified customer view across products and channels.
Measure: resolution accuracy
Fraud, payments & revenue assurance
Real-time and batch decisioning on Ab Initio and modern stacks.
Measure: leakage recovered
Data monetisation & clean rooms
Snowflake-powered collaboration with group companies and partners, PII-compliant.
Measure: partners onboarded
Governed by design, not evidenced afterwards
Decision
Credit application declined
REF 8841-XQ
14 Mar 2024, 09:41
Retrieved 22 months later
Rule & model
Risk band C · rules v4.2
Approved by: Credit Risk Cttee
Approval chain: 3 signatories
Model card: attached
Inputs
7 features, 4 systems
Bureau score · exposure
Transaction history · KYC
Each with its own trace
Source record
Core banking, table & row
As it stood at decision time
Not as it stands today
Immutable
Ask us to trace a decision you pick, on a reference environment, inside the evaluation window. Not a slide — the system.
Traceability
Explainability
Accountability
How a leading bank accelerated insights by 98% through Enterprise Lakehouse Transformation
Context
The bank’s legacy data warehouse needed to keep pace with its expanding operations. Timely insights and the ability to scale AI initiatives were hampered by fragmented data, limited observability and slow refresh cycles.
What changed
98% faster data insights, from 30 hours to < 45 minutes
Constraint
Data was fragmented across 120+ systems causing slow, stale insights. At the same time, 1.5 petabytes of high-risk PII data lacking proper governance.
What it took
15 months to complete enterprise-wide migration, which was originally scoped at 2.5 years.
What we built
A new Enterprise Data Platform using a modern Lakehouse design, connecting 120+ data systems across business functions to ensure data completeness and accuracy, while standardizing data layers with medallion architecture (Bronze – Silver – Gold) aligned to raw, cleansed and business-ready datasets.
1200
Dashboards and Reports
7%
uplift in cross sell and upsell
50%
faster data-driven credit assessments
Your 90-day BFSI modernisation blueprint
The offer
Your 90-day BFSI modernisation blueprint
- A current-state map of where decisions break down across your data and platform estate
- A sequenced modernisation plan with a defensible first workstream
- A governance model that will survive an audit
- A view on whether we are the right firm for it — including when we are not
Why this offer and not a call
The BFSI buyer is higher-consideration and slower. A blueprint is a bigger ask than a 30-minute call and it will convert a smaller share of visitors — but at ~14 matched clicks a month, lead quality is the only variable that matters. Every lead on this page should be read by hand.