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Services

Engineering and consulting that connects strategy to shipped outcomes.

We combine advisory depth with implementation rigour, so strategy decisions are reflected in integrated systems and measurable operational impact.

Service tracks

Each engagement is structured around challenge, integration path, and expected outcome.

Finance

Data & AI Strategy

Challenge: Leadership priorities are clear, but delivery sequencing and ownership are fragmented.

Integration path: Define a staged roadmap linking business outcomes, architecture milestones, and team responsibilities.

Expected outcome: A prioritised programme plan with measurable KPIs and clear decision rights.

Retail

AI Product Engineering

Challenge: Promising prototypes fail to become reliable products under production constraints.

Integration path: Engineer retrieval, orchestration, and evaluation layers directly into product and platform workflows.

Expected outcome: Production-grade AI services with observable quality, latency, and reliability behaviour.

Public Sector

AI Enablement & Integration Engineering

Challenge: AI outputs sit outside core systems and are not adopted by frontline teams.

Integration path: Integrate models and copilots into operational tools, APIs, and approval flows with rollback paths.

Expected outcome: AI-enabled workflows that are used in day-to-day decision processes, not side channels.

Education

Data Platform Modernisation

Challenge: Data is fragmented across systems, with weak contracts and inconsistent reporting.

Integration path: Establish modern platform patterns with robust contracts, lineage, and quality controls.

Expected outcome: Reliable analytics and model inputs across product, operations, and executive reporting.

Finance

MLOps & Operations

Challenge: Model and pipeline changes are difficult to release safely in regulated or high-impact contexts.

Integration path: Implement CI/CD, drift monitoring, incident pathways, and controlled rollout practices.

Expected outcome: Stable lifecycle management for models and pipelines with lower operational risk.

Public Sector

Governance & Risk Controls

Challenge: Governance requirements are documented but not embedded in engineering delivery.

Integration path: Embed risk-tiered controls into architecture, release gates, and runtime monitoring.

Expected outcome: Audit-ready delivery with practical controls aligned to business and regulatory expectations.

NZ delivery model

Auckland-based coordination with New Zealand business-hour delivery rhythm.

Need a narrower scope? We can start with one high-priority workflow and expand in controlled phases.