Production AI

Deploy AI that works in production, not just in pilot.

Controls, training, and managed operations for regulated industries. From assessment through to ongoing AI operations.

Trusted by leading enterprises

ANZProspaClearViewIAGEYQantasUnited NationsSwiss Government

75% of AI initiatives stall in pilot

Most organisations can build a proof of concept. Few can get AI into production inside a regulated environment, where controls, data management, and reliability are not optional.

75%

of AI initiatives stall in pilot

Gartner, 2024

87%

of 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 Controls

We deploy AI into production with approval workflows, audit trails, and version control. Every model includes the controls needed to operate in a regulated environment.

Approval workflowsAudit trailsVersion control
02

RAG Architecture

Retrieval-augmented generation that connects AI to your own data with role-based access and data residency controls.

RBAC-aware accessData sovereigntyDocument pipelines
03

Managed AI Operations

Ongoing monitoring, drift detection, retraining, and performance tuning. We handle the complexity of running AI in production.

Drift detectionRetrainingPerformance tuning
04

Training and Enablement

Practical training for your teams covering prompt engineering, usage policies, and responsible AI practices.

Prompt engineeringUsage policiesResponsible AI

How it works

From assessment to managed AI operations in four phases.

01
2-4 weeks

Assess

Current state review, use case identification, data readiness evaluation

02
2-4 weeks

Architect

Solution design, model selection, infrastructure planning, controls framework

03
4-12 weeks

Deploy

Model training and tuning, pipeline development, controls implementation

04
Ongoing

Operate

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

Regulatory standards

Our production AI deployments align with the regulatory requirements of Australian financial services.

Take the AI Readiness Assessment

Regulatory AI risk management alignment

Deployments aligned to regulatory expectations for AI risk management.

Data sovereignty

Australian-hosted infrastructure with AWS Sydney, Azure Australia East, and on-premises options.

Audit trails and version control

Full version history for every model in production.

Explainability and bias testing

Interpretable outputs with systematic bias testing across protected attributes.

Risk and compliance integration

Integrates with your existing risk management and internal audit processes.

Results

Case studies

Ready to move AI into production?

Talk to our team about deploying AI for your organisation.