Sustain Intelligence
AI Optimisation & Support
Maximise Value
Optimise what you’ve built. Scale what works.
AI doesn’t end at deployment. Our optimisation and support practice keeps your systems efficient, reliable, and compliant through ongoing tuning, monitoring, and upskilling.
Our Approach
Sustaining AI value requires structure, not improvisation. We apply a proactive lifecycle model that keeps systems aligned with business performance targets.
Monitor performance, drift, and impact with live dashboards and alerts.
Optimise models and data flows for lasting accuracy and efficiency.
Empower teams with training and playbooks for independent management.
Navigator’s discovery session gave us clarity on where AI can make the biggest impact. We now have a roadmap of solutions that we're confident in that will help our team work smarter and faster.
Tony Schultz
North Harbour Clean Energy
Service Offerings
Performance Tuning for AI Models
Continuous evaluation and enhancement of model accuracy, latency, and relevance. We fine-tune algorithms, optimise inference pipelines, and reduce computational overhead for faster, smarter decisions.
Ongoing Maintenance and Updates
Your AI infrastructure evolves as your business does. We deliver structured maintenance cycles that include code updates, dependency management, API refreshes, and security patching to ensure operational stability and compliance.
Training and Upskilling for Client Teams
We build AI literacy across your organisation through customised training, hands-on retraining sessions, and governance playbooks. Teams learn to interpret model outputs, manage pipelines, and make informed optimisation decisions without external reliance.
Outcomes & Metrics
Sustained Intelligence. Measurable Performance
Shorter issue-resolution cycles via automated monitoring and alerting
Improved data freshness and accuracy in production systems
Increased internal capability through upskilling and documentation maturity.
Enhanced regulatory readiness with continuous audit logs and compliance reports.
FAQ
Navigating AI Maintenance with Confidence
Why do AI systems need ongoing optimisation?
AI models degrade over time as data, behaviours, or market dynamics shift. Regular tuning ensures they continue to perform as intended and reflect current business realities.