From Strategy to Scale
AI-enabled engineering transformation requires more than point solutions. DX1 partners with organisations through a structured engagement model, from AI strategy and platform modernisation to implementation and continuous evolution.
Engineers where your teams are
We place senior consultants on-site or embedded with your teams across Australia's major enterprise hubs. Local presence, national reach.
How we engage
Choose the engagement model that fits your transformation needs.
Embedded Engineering
We embed experienced AI, platform and security engineers within your teams to accelerate delivery and drive measurable outcomes, aligned to a structured lifecycle framework.
Unlike traditional augmentation, our model includes governance, roadmap alignment and defined objectives tied to AI adoption and engineering milestones.
- Senior expertise across AI Governance, Platform Engineering and Secure Delivery
- Defined maturity objectives with measurable AI adoption outcomes
- Principal-level oversight, architecture guidance and knowledge transfer
- Monthly reporting against engineering maturity and risk uplift
Managed Projects
DX1 takes full ownership of defined engineering initiatives. We scope, staff and deliver with agile rigour, clear milestones and full accountability so your teams stay focused on core business.
We match the project approach to your context, whether you need rapid validation of an AI concept or a full production-grade platform build.
- Prioritised scope focused on shipping critical capabilities first
- Fixed-scope engagements with defined deliverables, timelines and budgets
- Dedicated project lead with end-to-end accountability through to handover
- Agile delivery with sprint-based collaboration and iterative refinement
Discover
Clarify your current operating model, AI readiness and engineering maturity.
- AI adoption maturity and use case identification
- Platform engineering and DevSecOps posture
- Governance, compliance and data readiness
Assess
Benchmark capabilities across AI, platforms and security to identify where to start.
- AI strategy and readiness assessment
- Secure platform and delivery maturity
- AI governance and risk framework gaps
Engage
Design and implement AI-enabled engineering across your organisation.
- Build AI-enabled secure platform foundations
- Embed AI-powered DevSecOps and automation
- Operationalise AI governance and responsible adoption
Scale
Evolve from initial adoption to organisation-wide AI-enabled engineering maturity.
- Continuously measure AI adoption and engineering outcomes
- Monitor governance compliance and evolving AI risk
- Optimise AI-enabled automation and platform evolution
Specialised Expertise for Key AI Engineering Roles
Labs @dx1 recognises the intricate challenges of deploying AI in complex IT landscapes. We help solve this by deploying highly specialised personnel crucial to AI engineering.
Our FDEs are pivotal in bridging the gap between AI model development and its practical application within client IT environments. They are embedded within client teams to tailor, integrate, and deploy complex AI solutions, ensuring seamless operationalisation and optimal performance in diverse infrastructures.
These AI Engineers are at the forefront of creating intelligent systems capable of complex reasoning and autonomous action within IT ecosystems. They specialise in developing and rigorously testing Large Language Models (LLMs) and agentic systems for reliability, safety, and ethical compliance in enterprise applications.
Our AI Data Engineers are instrumental in the success of AI deployments, managing the entire data lifecycle – from ingestion to governance – within the IT infrastructure. They ensure the availability of high-quality, reliable data essential for training, validating, and continuously improving deployed AI models.
Observability Engineers are critical for understanding the internal state of complex AI systems by analysing their external outputs. They ensure rapid detection, diagnosis, and resolution of issues in production IT environments, maintaining AI system health and operational excellence.
Our AI Product Managers bring a deep understanding of both AI capabilities and business strategy. They are deployed to define AI product vision, roadmaps, and features, ensuring that AI solutions deliver tangible business value and align with market needs.
MLOps Engineers are crucial for streamlining the entire machine learning lifecycle, from experimentation to production. Our experts are deployed to build, deploy, and manage scalable and reliable ML pipelines, ensuring continuous integration, delivery, and monitoring of AI models in IT environments.
With the increasing complexity of AI systems, AI Security Engineers are vital for protecting against vulnerabilities and threats. Our specialists are deployed to design, implement, and test security measures for AI models and infrastructure, ensuring data privacy, model integrity, and compliance with security standards.