Production AI

Deploy AI that works in production, not just in pilots

Governance, training, and managed operations for regulated industries. From strategy through to ongoing AI operations.

Trusted by leading enterprises

ANZProspaClearViewIAGEYQantasUnited NationsSwiss Government

75% of AI initiatives stall in pilot

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

What we do

Four capabilities that take AI from pilot to production.

01

Model Deployment with Governance

Production-grade deployment with approval workflows, access controls, and audit trails.

Approval workflowsAudit trailsVersion control
02

RAG Architecture

Retrieval-augmented generation with RBAC-aware document access and data sovereignty.

RBAC-aware accessData sovereigntyDocument pipelines
03

Managed AI Operations

Ongoing monitoring, drift detection, retraining, and performance optimisation.

Drift detectionRetrainingPerformance tuning
04

AI Training & Enablement

Hands-on training for prompt engineering, governance policies, and responsible AI usage.

Prompt engineeringGovernance policiesResponsible AI

How it works

From assessment to managed AI operations in four phases.

01
2-4 weeks

Assess

AI maturity assessment, use case identification, data readiness, governance gaps

02
2-4 weeks

Architect

Solution design, model selection, infrastructure planning, compliance architecture

03
4-12 weeks

Deploy

Model training, RAG pipeline development, governance implementation, user testing

04
Ongoing

Operate

24/7 monitoring, drift detection, retraining, quarterly governance reviews

Built for regulated industries

Production AI is designed around APRA supervisory expectations on AI governance, explainability, and risk management.

Take the AI Readiness Scorecard

APRA 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.

Results

Case studies

Ready to move AI into production?

Talk to our team about deploying AI with governance for your organisation.