Secure GenAI Platform for Financial Services
Deploying a governed generative AI platform with role-based access, data masking, and audit logging for finance teams.
Representative scenario based on the kinds of projects AWZ handles. Client names and proof are private. Targets are agreed and measured per project — published figures are not audited outcomes.
Representative client profile
Financial services client
Understanding the Problem
A financial services organization wanted to adopt generative AI while maintaining strict data-governance and security controls. Their document-heavy workflows were manual and did not scale with growing data volumes.
How We Solved It
We designed a governed AI platform with role-based access, data masking, and audit logging, integrated with existing data infrastructure while keeping AI use within the organization's control.
What We Measure
These are the measures we would define and validate with the client. They are not published client results.
Document processing time
Faster processing of routine documents; actual improvement depends on document type and volume.
Operational cost
Savings depend on the client's manual effort baseline; validated per engagement before commitment.
Adoption
Uptake depends on internal training, culture, and access-control design.
Data security
Access, retention, and audit are design goals; absolute zero-incident outcomes cannot be promised.
Technologies Used
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