Services: from AI strategy to production systems
ComplxAI is one team covering AI strategy, AI engineering, custom software and cloud. The same engineers score the use cases, design the architecture, write the code and take it to production.
- Nothing priced before two free conversations
- Client-owned IP from the first paid stage
- Small senior team, remote-first, anywhere in Australia
AI consulting, development and engineering
Start with advice, a build or a rescue.
AI consulting
Advice before commitment: what AI can carry in your operation, what it cannot, and what to try first.
AI consulting in AustraliaAI strategy
Done in two to four weeks and priced upfront: a board-ready plan carrying its build, buy or defer calls.
A board-ready AI roadmapAI development
An entire application with a model at its core: ingestion, orchestration, interface and the connections into your systems.
AI development servicesAI engineering
A demo turned into a system that survives real traffic: evaluation harnesses, tracing, cost telemetry and a deployment built to face security review.
Production AI engineeringAI agent development
One task carried across several systems by an agent with tool access, pausing for sign-off before anything irreversible.
Custom AI agentsAI product development
Something to sell rather than a tool to run, taken from first release to a platform customers pay for.
AI-native product buildsAI integration
The plumbing between a model and your systems of record, so an output lands in Xero or HubSpot rather than a chat window.
AI integration servicesAI automation
Intake, invoicing and reconciliation handled start to finish by agentic workflows, with a person on the exceptions.
Agentic workflow automationGenerative AI
Which model, retrieval design and quality measure for document, drafting and conversational work.
Generative AI consultingMachine learning
Forecasting, scoring and classification trained on your own data, with a pipeline to retrain as it moves.
Machine learning consultingCustom software and SaaS development
We build the application the AI lives in, so the two are designed together.
Custom software development
Operations platforms, portals and admin panels shaped to your process, with the AI layer designed in, not retrofitted.
Platforms and portalsSaaS development
A subscription product for other businesses, with tenancy, admin panel and API settled before the first customer signs up.
Custom SaaS platformsAI feature development
One capability, such as search, drafting or classification, added inside an existing product's codebase and release cycle.
Adding AI featuresSoftware engineering consulting
A senior second opinion on a codebase, architecture or stalled delivery, for teams with engineers who need direction.
Architecture reviewAWS and cloud engineering
The platform decides cost, reliability and security sign-off. We write it as code and document it for handover.
AWS consulting
Lambda, Step Functions, EventBridge, ECS and the data stores, chosen for the workload and written in Terraform or CDK.
AWS architecture and consultingCloud engineering
CI/CD pipelines, observability and cost control for the workloads around the model, all described in code.
Cloud engineering and consultingAI training and workshops
The one item here that ships no code, and often the smallest first step.
AI training & workshops
Sessions for leaders and operators, run on your own tasks and tools, so the team leaves with habits rather than slides.
Workshops run on your own workAdvice and delivery from the same engineers
The engineers who score your use cases also design the architecture, write the software and deploy it. The platforms behind Modedu, DisabilityAssessments and Luxpip were built by this team; their client-reported outcomes are in the case studies.
One line of delivery, strategy to optimisation
Every service above is one step done well, or several in sequence.
- StrategyUse cases ranked on impact, effort and risk, then a plan with its build, buy or defer calls.
- ArchitectureExecution model, data boundaries, model choice and integration contracts, agreed before code.
- BuildWorking software lands every couple of weeks, in repositories you own.
- IntegrateCRM, accounting, document stores and databases connected, with reconciliation.
- DeployTerraform or CDK in your AWS account, CI/CD, alarms, runbooks and handover documentation.
- OptimiseTracing, cost telemetry and evaluation scores keep quality and spend measured post-launch.
Step one is Discovery and Strategy in the five-stage engagement; the rest is Implementation in 12-week blocks, exit at any boundary. An AI roadmap stops at step one, AI development and custom software run the whole line, and production AI engineering and cloud consulting sit in the last three.
Match your situation to a starting point
The right first step depends on what you already have.
| Situation | Start with | Then |
|---|---|---|
| Not sure where AI fits | AI consulting | An AI roadmap |
| Board wants a costed plan | AI strategy | AI development or AI automation |
| Demo fails on real traffic | AI engineering | AI integration |
| Weeks lost to manual admin | AI automation | AI agent development as autonomy is earned |
| Add AI without a rewrite | AI feature development | A full AI product build |
| Operations on spreadsheets | Custom software development | Agentic workflows |
| Building an AI product | AI product development | SaaS development as tenants grow |
| Cloud bill or reliability | AWS consulting | Cloud engineering |
| Tools bought, not used | AI training | An AI consulting engagement |
Not sure which one fits? Ask us
Tell us the situation and we will say where to start, or whether it needs us at all. Both opening conversations are free; from Discovery on, each stage carries a written price up front and an exit at its end.