Solutions
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
ClearView 
Governance, training, and managed operations for regulated industries. From strategy through to ongoing AI operations.
Trusted by leading enterprises
ClearView Most firms can build a proof of concept. Few can get AI into production with the governance, security, and operational rigour that regulators expect.
The gap is not technology. It is deployment discipline: model governance, data sovereignty, access controls, monitoring, and ongoing operations. That is what Production AI solves.
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
Six capabilities that take AI from pilot to production with full governance.
Assess your AI maturity, identify high-value use cases, and build a phased deployment plan aligned to business outcomes.
Production-grade model deployment with approval workflows, access controls, audit trails, and version management.
Retrieval-augmented generation systems with RBAC-aware document access. Your data stays sovereign, responses stay grounded.
Custom AI agents that automate workflows, process documents, and handle decision support within your existing systems.
Ongoing monitoring, drift detection, retraining, and performance optimisation. We run it so your team does not have to.
Hands-on training for your team on prompt engineering, governance policies, and responsible AI usage.
From assessment to managed AI operations in four phases.
APRA's supervisory expectations on AI require financial services firms to demonstrate governance, explainability, and risk management across AI systems. Production AI is designed around these requirements from day one — not retrofitted after deployment.
Take the AI Readiness ScorecardAPRA AI risk management alignment
Governance frameworks mapped to APRA supervisory expectations on AI and data risk.
Data sovereignty
Australian-hosted where required. AWS Sydney, Azure Australia East, and on-premises options.
Model governance with audit trails
Version control, approval workflows, and full audit history for every model in production.
Explainability & bias testing
Interpretable model outputs and systematic bias testing across protected attributes.
Risk & compliance integration
Integrates with your existing risk management, compliance, and internal audit workflows.
Compare our AI and technology solutions to find the right fit for your organisation.
Production AI
AI Pods
Enterprise AI Licensing
Best for
Production AI
Firms deploying custom AI into production with full governance
AI Pods
Teams that need embedded AI engineering talent
Enterprise AI Licensing
Firms starting with off-the-shelf AI tools (ChatGPT, Cloudflare)
Best for
Firms deploying custom AI into production with full governance
Teams that need embedded AI engineering talent
Firms starting with off-the-shelf AI tools (ChatGPT, Cloudflare)
Engagement
Production AI
Project or managed service
AI Pods
Dedicated team embedded in your org
Enterprise AI Licensing
Licensing + deployment + training
Engagement
Project or managed service
Dedicated team embedded in your org
Licensing + deployment + training
Governance
Production AI
Full APRA-aligned governance framework
AI Pods
Client-directed, Adaca-supported
Enterprise AI Licensing
Vendor-native (SOC 2, SSO) + Adaca overlay
Governance
Full APRA-aligned governance framework
Client-directed, Adaca-supported
Vendor-native (SOC 2, SSO) + Adaca overlay
Typical duration
Production AI
3–12 months
AI Pods
Ongoing
Enterprise AI Licensing
2–4 weeks setup, ongoing licensing
Typical duration
3–12 months
Ongoing
2–4 weeks setup, ongoing licensing
Starting from
Production AI
Contact us
AI Pods
Contact us
Enterprise AI Licensing
From $200/month
Starting from
Contact us
Contact us
From $200/month
Still have questions?
Talk to our teamProduction AI is project-based: we deploy specific AI solutions (RAG systems, agents, models) into production with full governance. AI Pods provide an embedded AI engineering team for ongoing development. Choose Production AI for defined deliverables; choose AI Pods for continuous AI capability.
We are platform-agnostic. We work with OpenAI (GPT-4, ChatGPT Enterprise), AWS Bedrock, Google Vertex AI, Azure OpenAI, and open-source models. Platform selection is driven by your requirements: data sovereignty, performance, cost, and regulatory constraints.
All data processing can be hosted within Australian data centres. We support AWS Sydney, Azure Australia East, and on-premises deployments. No data leaves Australian jurisdiction without explicit approval.
Continuous monitoring of model performance, drift detection, automated retraining triggers, incident response, quarterly governance reviews, and compliance reporting. Think of it as a SOC for your AI systems.
Typically 3–12 months depending on complexity. A single RAG deployment can be production-ready in 8–12 weeks. Multi-model deployments with full governance frameworks take 6–12 months.
Absolutely. We complement internal teams by providing production engineering, governance frameworks, and operational support. Your data scientists focus on model development; we handle deployment, monitoring, and compliance.
Still have questions?
Talk to our teamTalk to our team about deploying AI with governance for your organisation.