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Data & AI Consulting Services

AI Practice

AI that reaches production and proves it works.

Most organisations are stuck between a working demo and a system the business can depend on. We build across the gap. AI in the workflows and data you already run, tested against criteria you set before the build, handed over with the suite that keeps proving it.
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Explore Capabilities
AI Strategy & Discovery

Identify where AI can create meaningful business value and build a pragmatic path from experimentation to implementation.

AI Product & Experience

Design AI-powered products and experiences that are useful, intuitive and built around the needs of real people.

AI Engineering & Implementation

Build, integrate and deploy production-ready AI solutions that are scalable, secure and designed for real-world use.

Work we've delivered

A selection of recent engagements across research, delivery and applied AI enablement.
RESEARCH

Data Exposed to AI Assistants

ENABLEMENT

For an Infrastructure Operator

DOCUMENT

Data Exposed to AI Assistants

AI OBSERVARABILITY

In Financial Services

AI-ASSISTED

Software Delivery

PROCESS

Automation

Free 2 Hour Session

Popular
We map one of your processes and measure it. You keep the output whether or not you engage us.
$0
Why explore AI at your organisation?
Hours released back to your team
Faster turnaround for customers
Fewer manual handoffs
Answers grounded in your own data
Measured before and after
Tested before handover
Runs in your cloud, data onshore
Governance your risk team accepts
Book a session

Explore Our Capabilities

AI Opportunity & Strategy
AI Products & Experiences
AI Engineering & Implementation
AI Risk & Governance

AI Opportunity Discovery

Identify and prioritise high-value AI opportunities based on business impact, customer needs, feasibility and organisational readiness.

AI Strategy & Roadmapping

Develop a pragmatic AI strategy and roadmap that connects business priorities with the technology, data and capabilities required to deliver them.

AI Readiness Assessment

Assess your technology, data, people, processes and governance to understand what is required to successfully adopt AI at scale.

AI Use Case Prioritisation

Evaluate potential AI use cases against value, feasibility, risk and complexity to focus investment where it can have the greatest impact.

AI Product Design

Design AI-powered products and features that solve meaningful customer and employee problems rather than simply adding AI for AI's sake.

Generative AI Experiences

Create conversational, generative and multimodal experiences that help people find information, create content, make decisions and complete tasks.

AI Assistants & Copilots

Design and build intelligent assistants that augment employees and customers with contextual information, recommendations and task support.

Intelligent Search & Knowledge Discovery

Use generative AI, semantic search and retrieval-augmented generation to make organisational knowledge easier to discover and act upon.

Personalisation & Recommendations

Use AI to understand behaviour, context and intent to deliver more relevant experiences, content and recommendations.

Generative AI & LLM Solutions

Design and implement solutions using large language models, foundation models and generative AI technologies.

Retrieval-Augmented Generation

Connect AI models to trusted organisational knowledge, enabling grounded responses based on enterprise data and content.

AI Agents & Agentic Workflows

Design intelligent agents that can reason, use tools, orchestrate workflows and complete complex tasks across enterprise systems.

Machine Learning

Develop and integrate machine learning models to predict outcomes, identify patterns, automate decisions and improve operational performance.

AI Integration

Integrate AI capabilities into existing applications, platforms and enterprise systems rather than treating AI as a standalone technology.

AI Application Development

Build production-grade AI applications with the engineering, architecture and infrastructure required for scale, reliability and maintainability.

AI Governance

Establish practical governance frameworks covering AI usage, accountability, risk, transparency and compliance.

AI Security

Design AI solutions with security controls across models, data, prompts, applications, integrations and access.

AI Safety & Risk

Identify and manage risks including hallucination, bias, privacy, data leakage, model misuse and unintended outcomes.

AI Evaluation & Testing

Define evaluation frameworks and continuously test AI systems for accuracy, relevance, safety, reliability and performance.

AI Observability

Monitor AI applications in production to understand model performance, usage, cost, quality and emerging risks.
Services

Packages that fit your scale

There are 10 ways to work with us. Start wherever you are and keep whatever we produce along the way.
Mockup

Free 2 Hour Session

Get Started
We map one of your processes and measure it. You keep the output whether or not you engage us.
Mockup

AI Readiness Assessment

Get Started
Your opportunities ranked and sized in hours released per year, with a feasiblity verdict on each one, including whether a RAG pipeline, an agentic workflow or plain software is the right answer.
Mockup

AI Discovery Sprint

Get Started - $32k
Learn More
The AI Discovery Package helps organisations move from AI curiosity to AI clarity. In a focused engagement, we identify high value use cases, assess data and technical readiness, validate feasibility, and define a pragmatic roadmap for implementation.
Mockup

AI Proof of Value

Get Started - $55k
Learn More
One workflow, end to end, against a before & after number of agreed up front and contracted as a deliverable.
Mockup

Production AI Build

Get Started
RAG pipelines, vector database and agentic workflows, built and evaluated against agreed acceptance criteria, then handed over with the LLMOps and test suite behind them.
Mockup

Process Automation and Redesign

Get Started
Two stages. We map the process as preformed rather than as documented, seperating elapsed time from hands-on-time, then build against what we found.
Mockup

AI Specialist Placement

Get Started
AI Engineers, AI Solution Architects and AI-literate Analysts working inside your team, doing prompt engineering, retrieval and evaluation work alongside your own developers.
Mockup

Executive AI Briefing

Get Started
Your leadership team leaves able to judge and AI opportunity on its merits and to make assist, delegate or automate call themselves.
Mockup

AI Enablement

Get Started
Adoption support that runs alongside delivery, so your people are using the system with confidence by the time we hand it over.
Need a little bit extra?

Our Embedded Partnership

A dedicated team embedded within your organisation, combining experience design, product management, and delivery support. We work side by side with your teams to shape, build, and ship better products with speed and clarity.

Enterprise Partnership

For enterprise businesses who require a more tailored solution.
Book a call
Obligation free call
1
Initial Discovery Call
2
AI Readiness Assessment
3
In Depth Deep Dive
4
Proposal & Business Case Assistance
5
Proposal Sign Off
6
Kick Off

Governance your risk team accepts

Model evaluation is the unit testing of AI. A system that cannot be evaluated cannot be relied on.

A review step counts when the reviewer has the time, the information, the competence, the authority to stop it and leaves a record. We set those conditions up with you, so the sign off in your governance pack reflects a real check.
TIER 1

Assistance

Drafting, summarising, internal search. Usage guidance and a name owner.
TIER 2

Workflow Support

Output enters a process others rely on. Acceptance tests, logging, sampled review.
TIER 3

Decision Support

Informs a decision about a person or a payment. Citation checks, reviewer conditions in full, audit record.
TIER 4

Restricted Action

The system can write to a system of record. Pre-agreed limits, a stop control, independent sign off before scope grows.

Security and your data handling

Buying AI is a resilience question, not a purchasing one. You are not buying the ability to survive a price change, a model depreciation or a privider outage. We set out where data sits, who can reach it, what a provider change would cost and where semantic caching cuts what the system costs to run, before the build starts.

Sovereign AI, Onshore

Where sovereign Al is a requirement, the system is built to keep data in Australian regions, and we state where it sits and where it transits before you sign anything.

Your Tenancy, Your Accounts

We build in your cloud accounts and your tenancy, under your access controls, so nothing depends on ours once we leave.

No Training on Your Data

Client data is not used to train models. Where a provider offers a setting for it, we configure it and show you the configuration.

How you know it works

Model evaluation is the unit testing of AI. A system that cannot be evaluated cannot be relied on.

No one can remove hellucination. What we can do is make it detectable, because the wrong answer with a confident citation is a failure mode that costs you something.
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Step 1
Write the acceptance test before the build.
Step 2
You agree to the test cases before they run.
Step 3
Results stay visable while the system is built, not at the end.
Step 4
The tests run on every release and stop the release when they fail.
Step 5
You inherit the suite with the system and can run it without us.
“If you are looking for a small and agile team, with a can-do attitude, then look no further than Ippon. They love to enhance existing teams with their knowledge and expertise and also bring a lot of fun!”
Elzanne van der Westhuizen
Head of Technology
Experience Design & Product

We put the “wow” in WOWEE! Championing your business in delivering seamless and integrated digital experiences through a technology-led approach. Delivering a balanced approach of desirability, feasibility and viability —  we work with you in advising up, executing down and rippling out experiences that leave your users wanting more.

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Software Engineering & Cloud

CLOUD NATIVE IS HERE TO STAY: Software Engineering & Cloud are very much intertwined capabilities. You can’t build modern, flexible software, as a Software Engineer, without an understanding the power, and peril, offered by Cloud computing.

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