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Financial Services

Banks, insurers and fintechs modernizing data, fraud and customer analytics under strict regulation.

Core banking modernization PCI-DSS & ISO 27001 alignment Fraud analytics & AI
30Solutions
7Practices
THE SECTOR

What Financial Services teams are working on

Banks and insurers hold more data than almost anyone and can use less of it than almost anyone. Core systems, cards, claims and channels each keep their own version of a customer, and the regulator expects one answer. The constraint is rarely the model. It is lineage, residency and being able to explain a decision months later.

The blueprints here concentrate on the places where that bites: onboarding and eKYC, fraud and AML, credit underwriting, claims and collections, and the reporting that has to tie back to the ledger. Each one is built so a decision can be traced to the record and the rule that produced it.

WHAT WE GET ASKED

Can we score and decide in real time without losing the audit trail?

Where does our customer data actually live, and who touched it?

How do we use AI on regulated data without a compliance argument?

Can the month-end numbers come from one place?

THE SHAPE OF THE WORK

Where Financial Services work concentrates

Across the 30 solution blueprints on this page.

Machine Learning14
Generative AI13
Data Platform2
Analytics & BI1
Solution area, by number of blueprints.
TECHNOLOGY

What this sector leans on more than the rest of the catalogue does.

Microsoft Sentinel 3Azure Event Hubs 3Azure AI Document Intelligence 8Dynamics 365 Customer Insights 4Azure Stream Analytics 3Dynamics 365 6
SOLUTIONS

Blueprints ready to adapt

All solutions
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