Governance, training, and managed operations for regulated industries. From strategy through to ongoing AI operations.
Trusted by leading enterprises
Most firms can build a proof of concept. Few can get AI into production with the governance regulators expect.
75%
AI projects stall in pilot
Gartner, 2024
87%
ML models never reach production
VentureBeat, 2024
3-12m
Assessment to production AI
Adaca
100%
Australian-hosted where required
Adaca
Four capabilities that take AI from pilot to production.
Production-grade deployment with approval workflows, access controls, and audit trails.
Retrieval-augmented generation with RBAC-aware document access and data sovereignty.
Ongoing monitoring, drift detection, retraining, and performance optimisation.
Hands-on training for prompt engineering, governance policies, and responsible AI usage.
From assessment to managed AI operations in four phases.
AI maturity assessment, use case identification, data readiness, governance gaps
Solution design, model selection, infrastructure planning, compliance architecture
Model training, RAG pipeline development, governance implementation, user testing
24/7 monitoring, drift detection, retraining, quarterly governance reviews
Production AI is designed around APRA supervisory expectations on AI governance, explainability, and risk management.
Take the AI Readiness ScorecardAPRA AI risk management alignment
Governance frameworks mapped to APRA supervisory expectations.
Data sovereignty
Australian-hosted infrastructure with AWS Sydney, Azure Australia East, and on-premises options.
Model governance with audit trails
Full version control and audit history for every model in production.
Explainability & bias testing
Interpretable outputs with systematic bias testing across protected attributes.
Risk & compliance integration
Integrates with existing risk management and internal audit workflows.
Talk to our team about deploying AI with governance for your organisation.