AI Solutioning

AI Readiness, Architecture & Uplift

Three pillars in one engagement. A readiness assessment, an AI architecture you can ship, and a four-week uplift across how your teams build software and agents. Proven at Ordermentum.

Book a 30-min call Ways to engage

Sound familiar?

What we hear before we start.

"Everyone says add AI. Nobody can tell us what to build, what it costs, or how we would know it works."

"We have twenty AI ideas and no way to decide which three are worth doing first."

"Our engineers are curious about AI tools but nobody has shown them how to use them well."

What you get

Readiness, architecture and uplift, in one engagement.

Readiness assessment

Data, systems, skills and governance, scored honestly, with the gaps that matter called out.

Use-case portfolio

Every idea ranked on value, feasibility and risk, so you start with the ones that pay back.

AI architecture

Models, retrieval, integration and guardrails, designed to be shipped, not presented.

Integrate

The first use case wired into your real systems, with evals that prove it works.

Optimise

Model routing, caching and cost controls that keep the bill predictable as usage grows.

Team uplift

Hands-on training in Claude Code, Codex and agentic workflows across your delivery teams.

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.

How long does it take?

Four weeks for the core engagement, with a working pilot and a costed roadmap at the end.

Which models do you use?

We are model-agnostic: Claude, GPT, Gemini and open-weight models, chosen per use case.

Do we need clean data first?

No. Part of the assessment is telling you which data problems actually block value and which can wait.

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.