50+ microservices, taking businesses into the future without tech burden. Chameleon is AI-native infrastructure, not a legacy platform with AI bolted on. Every architectural decision was made with autonomous AI agents, regulated data environments, and enterprise-grade resilience as the design constraints from day one. Technology Philosophy Architecture decisions that compound in value as the AI landscape changes. Every foundational technology decision was made with a single question: does this decision get more valuable or less valuable as AI capability accelerates? Model-agnostic by design. Governance-native by architecture. Compliance-inheriting by default. The result is a platform where every new AI model, every new regulation, and every new integration requirement makes the existing platform more valuable, not more expensive to maintain. Design Principle AI-native, not AI-retrofitted The platform was designed from the ground up to orchestrate AI models, manage AI agents, and govern AI actions. AI is not a feature we added, it is the primary use case the architecture was built for. Design Principle Event-driven at the core Asynchronous, event-driven architecture throughout, decoupling services for resilience, enabling real-time streaming for AI agent workflows, and providing auditability that comes from a complete event history at every interaction point. Design Principle 40+ independent microservices Each capability independently deployable, independently scalable, and independently auditable. No monolithic bottlenecks. No shared failure domains. The platform scales the components under load without scaling everything. Design Principle Infrastructure as code, always Every environment reproducible from code. Every deployment automated through CI/CD pipelines with quality gates and container management. Infrastructure drift is impossible by design. Platform Architecture Five tiers. Each purpose-built. All working as one. Organised across five architectural tiers, each independently scalable, each purpose-built for its role, and each contributing to the governed execution layer that makes AI safe to run inside regulated institutions. Edge and Security Every request routed, cached, shielded from attack, and identity-verified before reaching any application service. Route 53 DNS Health-based routing with automated failover across availability zones. CloudFront CDN Global edge caching with origin shield and custom cache behaviours per content type. WAF and DDoS Shield AWS WAF with managed and custom rule sets. Shield Advanced for volumetric attack protection. Cognito SSO and MFA Identity federation, MFA enforcement, and session management across all user access points. API Gateway Request validation, throttling, authentication, and routing for all inbound API traffic. Application and AI Containerised microservices on ECS Fargate inside a private VPC, auto-scaling, zero-downtime deploys, AI-native by design. AI Agents and Orchestration Multi-model agent orchestration with tool use, planning, and governed action execution. RAG Knowledge Layer Retrieval-augmented generation with document ingestion, chunking, embedding, and semantic search. Session Intelligence Real-time session context management across AI agents and human interactions. Governance Runtime Real-time action authorisation, audit event generation, and compliance enforcement on every action. Internal Load Balancer Service mesh routing with health checks and circuit breaking across all microservices. Data and Storage Purpose-built storage for every workload, relational, document, search, with real-time event streaming throughout. Amazon RDS (MySQL) Multi-AZ relational data with automated backup, point-in-time recovery, and read replicas. MongoDB Document store for flexible schema data, AI session context, and agent state management. Solr Search Index Full-text and semantic search across knowledge bases, documents, and enterprise content. Kafka Event Streaming Real-time event streaming for audit trail generation, agent workflow coordination, and integration. Amazon S3 Object storage for documents, AI knowledge bases, audit logs, and model artefacts. Integration and Automation Async event-driven processing, decoupling services for notifications, jobs, and third-party enterprise integrations. Amazon SNS Pub/Sub Fan-out notification and event distribution across services and external webhook endpoints. Amazon SQS Queues Durable message queuing for async job processing, retry logic, and dead-letter handling. AWS Lambda Serverless function execution for event-driven integration workflows and scheduled processing. Visual REST Configurator Business-user configuration of any REST API integration without code, with credential governance built in. Observability and Pipeline Complete operational visibility across all platform tiers, with automated delivery pipelines from commit to production. CloudWatch Metrics, dashboards, log aggregation, and alerting across all platform services and infrastructure. X-Ray Tracing Distributed tracing across all microservices, end-to-end request visibility and latency profiling. CloudTrail API-level audit logging across all AWS account activity for compliance and forensic analysis. SonarQube, Bitbucket, ECR Code quality gates, version control, container image management, and automated deployment pipelines. Native Integration Library Pre-built governance across the financial services system landscape. Six years of integration work is embedded in the platform. Every connection is governed, every credential protected, every API behaviour understood. You do not start from zero. Core Banking Temenos T24 and Transact Account management, transaction processing, customer data, and product configuration, with validated patterns from live production migrations. Core Banking Infosys Finacle Full core banking integration including accounts, loans, deposits, and treasury, with integration patterns from the fastest core migration on record in Australia. Payments Payment Rails and Schemes NPP, BECS, SWIFT, and card scheme integrations, governed at the connection layer with full audit trail on every payment event. Open Banking CDR and Open Finance Consumer Data Right integration for data sharing, consent management, and accredited data recipient flows, governed and auditable. Identity and KYC Identity Verification Platforms FrankieOne and major KYC/KYB providers, integrated with AI agent workflows for automated verification with human escalation governance. Wealth Wrap Platforms and Registries Investment administration, portfolio data, and wrap platform connectivity, including live integration with Praemium and Intelliflo. CRM CRM and Engagement Platforms Salesforce, HubSpot, and custom CRM integrations with bidirectional data flow governed at the execution layer. Any REST API Visual REST Configurator Any REST API connectable through the visual configuration surface, without code, without exposing credentials, with full governance inherited automatically. Every integration inherits the same credential governance, access controls, and audit trail. No connection to your systems is ever ungoverned. AI Layer Model-agnostic orchestration with governance at every step. The AI layer sits inside the governed execution runtime, so every model call, every agent action, and every AI output is subject to the same authorisation and audit infrastructure as every other platform action. Orchestration Multi-model agent orchestration Any major AI model orchestrated through the platform with model-agnostic tooling. Switch models without re-architecture. Governance persists regardless of the model underneath. Model-agnostic by architecture Multi-model workflows supported Tool use and function calling governed Planning and reasoning transparency Knowledge RAG with enterprise knowledge bases Retrieval-augmented generation built natively, connecting AI agents to institutional knowledge, regulatory content, product documentation, and client data with access controls enforced at retrieval. Document ingestion and chunking Embedding and semantic search via Solr Access-controlled knowledge retrieval Source attribution in every output Governance AI action authorisation and audit Every AI action, tool call, data access, external API call, and output passes through the authorisation layer before execution. Complete audit trace generated at the point of action, not reconstructed afterwards. Pre-execution authorisation on every action Complete decision trace per output Immutable audit trail on every interaction Regulator-ready explainability by default The Technology Guarantee The more the AI landscape changes, the more valuable this architecture becomes. Every decision we made, model-agnostic by design, governance-native by architecture, event-driven at the core, was made to compound in value as AI capability accelerates and regulatory requirements intensify. The platform gets stronger as the world gets more complex.
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Platform Technology 40+ microservices. One purpose. Governed AI at scale in regulated finance. Chameleon is AI-native infrastructure, not a legacy platform with AI bolted on. Every architectural decision was made with autonomous AI agents, regulated data environments, and enterprise-grade resilience as the design constraints from day one. Technology Philosophy Architecture decisions that compound in value as the AI landscape changes. Every foundational technology decision was made with a single question: does this decision get more valuable or less valuable as AI capability accelerates? Model-agnostic by design. Governance-native by architecture. Compliance-inheriting by default. The result is a platform where every new AI model, every new regulation, and every new integration requirement makes the existing platform more valuable, not more expensive to maintain. Design Principle AI-native, not AI-retrofitted The platform was designed from the ground up to orchestrate AI models, manage AI agents, and govern AI actions. AI is not a feature we added, it is the primary use case the architecture was built for. Design Principle Event-driven at the core Asynchronous, event-driven architecture throughout, decoupling services for resilience, enabling real-time streaming for AI agent workflows, and providing auditability that comes from a complete event history at every interaction point. Design Principle 40+ independent microservices Each capability independently deployable, independently scalable, and independently auditable. No monolithic bottlenecks. No shared failure domains. The platform scales the components under load without scaling everything. Design Principle Infrastructure as code, always Every environment reproducible from code. Every deployment automated through CI/CD pipelines with quality gates and container management. Infrastructure drift is impossible by design. Platform Architecture Five tiers. Each purpose-built. All working as one. Organised across five architectural tiers, each independently scalable, each purpose-built for its role, and each contributing to the governed execution layer that makes AI safe to run inside regulated institutions. Tier 01 Edge & Security Every request routed, cached, shielded from attack, and identity-verified before reaching any application service. Route 53 DNS Health-based routing with automated failover across availability zones. CloudFront CDN Global edge caching with origin shield and custom cache behaviours per content type. WAF + DDoS Shield AWS WAF with managed and custom rule sets. Shield Advanced for volumetric attack protection. Cognito SSO / MFA Identity federation, MFA enforcement, and session management across all user access points. API Gateway Request validation, throttling, authentication, and routing for all inbound API traffic. Tier 02 Application & AI Containerised microservices on ECS Fargate inside a private VPC, auto-scaling, zero-downtime deploys, AI-native by design. AI Agents & Orchestration Multi-model agent orchestration with tool use, planning, and governed action execution. RAG Knowledge Layer Retrieval-augmented generation with document ingestion, chunking, embedding, and semantic search. Session Intelligence Real-time session context management across AI agents and human interactions. Governance Runtime Real-time action authorisation, audit event generation, and compliance enforcement on every action. Internal Load Balancer Service mesh routing with health checks and circuit breaking across all microservices. Tier 03 Data & Storage Purpose-built storage for every workload, relational, document, search, with real-time event streaming throughout. Amazon RDS (MySQL) Multi-AZ relational data with automated backup, point-in-time recovery, and read replicas. MongoDB Document store for flexible schema data, AI session context, and agent state management. Solr Search Index Full-text and semantic search across knowledge bases, documents, and enterprise content. Kafka Event Streaming Real-time event streaming for audit trail generation, agent workflow coordination, and integration. Amazon S3 Object storage for documents, AI knowledge bases, audit logs, and model artefacts. Tier 04 Integration & Automation Async event-driven processing, decoupling services for notifications, jobs, and third-party enterprise integrations. Amazon SNS Pub/Sub Fan-out notification and event distribution across services and external webhook endpoints. Amazon SQS Queues Durable message queuing for async job processing, retry logic, and dead-letter handling. AWS Lambda Serverless function execution for event-driven integration workflows and scheduled processing. Visual REST Configurator Business-user configuration of any REST API integration without code, with credential governance built in. Tier 05 Observability & Pipeline Complete operational visibility across all platform tiers, with automated delivery pipelines from commit to production. CloudWatch Metrics, dashboards, log aggregation, and alerting across all platform services and infrastructure. X-Ray Tracing Distributed tracing across all microservices, end-to-end request visibility and latency profiling. CloudTrail API-level audit logging across all AWS account activity for compliance and forensic analysis. SonarQube / Bitbucket / ECR Code quality gates, version control, container image management, and automated deployment pipelines. Native Integration Library Pre-built governance across the financial services system landscape. Six years of integration work is embedded in the platform. Every connection is governed, every credential protected, every API behaviour understood. You do not start from zero. Core Banking Temenos T24 & Transact Account management, transaction processing, customer data, and product configuration, with validated patterns from live production migrations. Core Banking Infosys Finacle Full core banking integration including accounts, loans, deposits, and treasury, with integration patterns from the fastest core migration on record in Australia. Payments Payment Rails & Schemes NPP, BECS, SWIFT, and card scheme integrations, governed at the connection layer with full audit trail on every payment event. Open Banking CDR & Open Finance Consumer Data Right integration for data sharing, consent management, and accredited data recipient flows, governed and auditable. Identity & KYC Identity Verification Platforms FrankieOne and major KYC/KYB providers, integrated with AI agent workflows for automated verification with human escalation governance. Wealth Wrap Platforms & Registries Investment administration, portfolio data, and wrap platform connectivity, including live integration with Praemium and Intelliflo. CRM CRM & Engagement Platforms Salesforce, HubSpot, and custom CRM integrations with bidirectional data flow governed at the execution layer. Any REST API Visual REST Configurator Any REST API connectable through the visual configuration surface, without code, without exposing credentials, with full governance inherited automatically. Every integration inherits the same credential governance, access controls, and audit trail. No connection to your systems is ever ungoverned. AI Layer Model-agnostic orchestration with governance at every step. The AI layer sits inside the governed execution runtime, so every model call, every agent action, and every AI output is subject to the same authorisation and audit infrastructure as every other platform action. Orchestration Multi-model agent orchestration Any major AI model orchestrated through the platform with model-agnostic tooling. Switch models without re-architecture. Governance persists regardless of the model underneath. Model-agnostic by architecture Multi-model workflows supported Tool use and function calling governed Planning and reasoning transparency Knowledge RAG with enterprise knowledge bases Retrieval-augmented generation built natively, connecting AI agents to institutional knowledge, regulatory content, product documentation, and client data with access controls enforced at retrieval. Document ingestion and chunking Embedding and semantic search via Solr Access-controlled knowledge retrieval Source attribution in every output Governance AI action authorisation and audit Every AI action, tool call, data access, external API call, output, passes through the authorisation layer before execution. Complete audit trace generated at the point of action, not reconstructed afterwards. Pre-execution authorisation on every action Complete decision trace per output Immutable audit trail on every interaction Regulator-ready explainability by default The Technology Guarantee The more the AI landscape changes, the more valuable this architecture becomes. Every decision we made, model-agnostic by design, governance-native by architecture, event-driven at the core, was made to compound in value as AI capability accelerates and regulatory requirements intensify. The platform gets stronger as the world gets more complex.