AI Solutioning

AI-Native Development: AI Agents, Automation & Orchestration

AI-native development that ships to production. Autonomous agents with evals, observability and cost controls built in. Proven at Scentre Group, OOH and TFE Hotels.

Book a 30-min call Ways to engage

Sound familiar?

What we hear before we start.

"We bolted a chatbot onto our product. It works in the demo and falls over with real users."

"Our prototype has no evals, no guardrails and no observability. We cannot ship it and sleep."

"We need an agent that does real work across our systems, not a wrapper around a single prompt."

What you get

What an AI-native build actually includes.

AI-native architecture

Where AI sits, where deterministic code sits, and where a human stays in the loop.

Agentic workflows

Agents that take real action across your systems, with safeguards against costly mistakes.

RAG and retrieval

Hybrid search, re-ranking and the evals that prove answers are grounded.

Evals and observability

Tracing and quality monitoring so regressions are caught before customers see them.

Model routing and cost

The right model for each job, with budgets and guardrails wired in from day one.

AI UX that builds trust

Streaming, citations and graceful failure, so people trust the feature instead of abandoning it.

Outcomes

What changes when we are done.

2 weeks

From idea to an evaluated, working prototype your team can test with real data.

Evals

Every AI feature ships with evals and tracing, so quality is a number you watch.

30 to 60%

Typical inference-cost reduction once model routing and caching are in place.

In-repo

Code lands in your repository with your engineers, not a vendor sandbox.

Ways to engage

Start small. Keep what works.

Sprint

AI-Native Sprint

Two-week build sprint: a working, evaluated prototype of the highest-value AI feature, with the architecture documented. Fixed scope, fixed fee.

from A$10K

Get a proposal

Build

AI-Native Build

Six to ten weeks: a production AI feature or product with agents, retrieval, evals, observability and cost controls, in your repo.

from A$50K

Get a proposal

Embedded

Embedded AI team

A squad that builds alongside your engineers and leaves them able to run it. Two to four days a week, quarterly outcomes.

from A$12K/mo

Get a proposal

Questions

What people usually ask.

Which models do you build on?

Claude, GPT, Llama and open-weight models, routed on cost and capability. We do not resell one vendor.

Do you hand it over?

Yes. Code lives in your repo, the architecture is documented, and your team can run it without us.

Can it work with our existing systems?

That is the point. We connect agents to your ERP, CRM, documents and data through secure integrations.

The stack

What we build with.

We are model and cloud agnostic. We pick what suits your data, your team and your budget, and we have shipped production work on every tool here.

ENTERPRISE AI PLATFORMS

Agents on the platforms you already trust.

Your data stays in your tenancy and your region. We design, build and run agents on whichever cloud or model provider your security team already approved.

MICROSOFT AZURE

Microsoft Foundry

Foundry Agent Service with OpenAI, Claude, Grok and Llama modelsAgents wired into Microsoft 365, Teams and SharePointRegional data zones for Australia and Canada

Best when you run on Microsoft 365 and Entra ID.

AMAZON WEB SERVICES

Amazon Bedrock and AgentCore

AgentCore runtime, memory, gateway and identity for production agentsClaude, Llama and Amazon Nova with Bedrock GuardrailsKnowledge Bases over S3, RDS and your data lake

Best when your data and workloads already live in AWS.

GOOGLE CLOUD

Vertex AI and Gemini Enterprise

Gemini and Claude through Vertex AI Model GardenAgents built with the Agent Development Kit and Agent EngineGrounded in BigQuery and Google Workspace

Best when you are on BigQuery or Google Workspace.

ANTHROPIC

Claude

Agents on the Claude API with the Agent SDK and MCPClaude Code rolled out to engineering teamsClaude for Enterprise with your SSO and data controls

Best when reasoning, writing and code quality decide the outcome.

OPENAI

OpenAI

Agents built on the Responses API and Agents SDKChatGPT Enterprise connected to your internal toolsCodex for engineering teams

Best when ChatGPT is already in your people's hands.

XAI · SPACEX

Grok

Grok models through the xAI APIAgents that read live public signals in real timeGrok alongside other models behind one router

Best when speed and live market or social signals matter.

DATA PLATFORMS

Snowflake and Databricks

Cortex Agents and Mosaic AI working where your data already sitsQuestions in plain English answered over governed tablesYour existing access rules apply to every agent query

Best when your data lives in a warehouse or lakehouse.