13:00 – 17:00
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.
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.
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.
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.
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.
Every environment reproducible from code. Every deployment automated through CI/CD pipelines with quality gates and container management. Infrastructure drift is impossible by design.
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.
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.
Account management, transaction processing, customer data, and product configuration, with validated patterns from live production migrations.
Full core banking integration including accounts, loans, deposits, and treasury, with integration patterns from the fastest core migration on record in Australia.
NPP, BECS, SWIFT, and card scheme integrations, governed at the connection layer with full audit trail on every payment event.
Consumer Data Right integration for data sharing, consent management, and accredited data recipient flows, governed and auditable.
FrankieOne and major KYC/KYB providers, integrated with AI agent workflows for automated verification with human escalation governance.
Investment administration, portfolio data, and wrap platform connectivity, including live integration with Praemium and Intelliflo.
Salesforce, HubSpot, and custom CRM integrations with bidirectional data flow governed at the execution layer.
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.
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.
Any major AI model orchestrated through the platform with model-agnostic tooling. Switch models without re-architecture. Governance persists regardless of the model underneath.
Retrieval-augmented generation built natively, connecting AI agents to institutional knowledge, regulatory content, product documentation, and client data with access controls enforced at retrieval.
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.
Gen-AI for Lead Generation
Wed, Thu, Fri, Mon, Tue: 13:00 – 17:00