Turn AI and data into decisive action
Connect fragmented data across the business to reveal clearer insights, improve reporting, and power more informed customer interactions.
Data Foundation
Unified Data Lake
All Audax domain data is ingested daily through a medallion architecture (raw → cleaned → refined), producing a structured, documented data lake that is ready for analytics, reporting, and downstream consumption without bespoke extraction work.
Self-Service Business Intelligence
Empower business analysts and operations teams to explore data, build dashboards, and run queries without depending on engineering — accelerating data-driven decisions across the bank.
Governed Data Operations
Orchestrate complex data workflows between the Audax platform and bank systems, manage configurable SQL-based jobs through the configuration portal, and control data lifecycle — all with maker-checker approval and full audit trails.
Customer Insights and Engagement
Surface personalised financial analytics within digital channels and reach customers at scale with targeted, data-driven notifications — all without engineering involvement per campaign or cycle.
Data Discovery and Trust
Maintain a centralised data dictionary and discovery portal so teams can find what data exists, understand its structure, and explore it — with every dataset documented and discoverable from the moment it lands in the lake.
AI-intelligence layer overview
Transaction Enrichment
Every transaction is enriched in real time with merchant identity, brand logo, location, and spending category — replacing cryptic descriptions with clear, consumer-friendly information that improves digital banking experiences.
Campaign Management
Design, approve, and launch data-driven campaigns that trigger on real-time transaction events — with maker-checker governance, configurable rules, and multi-channel fulfillment built in.
Privacy-First Data Processing
Sensitive customer data is tokenized before it enters campaign processing pipelines, ensuring privacy compliance without sacrificing personalisation or analytical value.
Configurable and Extensible
Banks control category taxonomies, campaign rules, approval thresholds, fulfillment routing, and downstream integrations — adapting the platform to local market requirements without code changes.
AI Control Plane
Governed AI Access
Route AI through a single governed gateway that validates identity, applies role and data-class permissions, and controls which approved models and tools can be used.
Policy & Guardrails
Enforce bank-defined policies before and after every AI interaction — allowing, denying, or redacting requests and outputs before sensitive data or actions move further.
Human-Controlled Actions
Require maker-checker approval for high-risk or system-changing actions, keeping human intervention in the flow before AI can trigger execution.
End-to-End Accountability
Capture every AI interaction, policy decision, approval, and action in a reconstructable audit trail that can integrate with the bank’s existing SIEM and compliance processes.
Issues Banks Face Today
- Fragmented data across systems
- Duplicated or undiscovered data assets
- Limited governance for AI data use
- Unclear AI access controls
- Incomplete auditability
- Generic, untargeted customer offers
How audax can help
Turn fragmented banking data into trusted intelligence and governed AI, with the controls to discover, activate, and use data safely across the bank.
Build a Trusted Data Foundation
Unify data across domains into a structured, governed lake with documented, discoverable, query-ready datasets for reporting and analytics.
Activate Data for Intelligence
Turn transaction and customer data into richer insights, personalised experiences, and targeted campaigns that business teams can configure and execute at scale.
Shape what your customers experience next
Connect with our team to explore how audax can support your modernisation priorities, or request a personalised demo of our platform.
