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AI CONSULTING · SYDNEY · AUSTRALIA

A useful AI project.
A clear delivery plan.

Sydney-based AI consultancy for Australian businesses and government. Scope a useful workflow, implement Claude or AI agents, and agree evaluation, ownership and support.

Discuss an AI project

CHOOSE YOUR SECTOR

DataXLR8 is an Australian-owned AI, data and software consultancy based in Sydney. We help teams choose a bounded use case, connect approved information and put a tested workflow into use. Start with an assessment, a prototype or a defined implementation.

Claude Partner Network member

CHOOSE THE JOB

What do you need
AI to help with?

The right starting point depends on the work, the information available and who must approve the result.

OPERATIONS

Turn incoming documents into work.

Prepare records, flag missing details and send exceptions to a reviewer. Agree the source fields and destination before automating a write.

AI workflow implementation
KNOWLEDGE & TOOLS

Give an agent a defined task.

Connect permitted sources and actions, inspect the evidence behind a draft and keep consequential actions behind approval.

AI agent development
NEW PRODUCTS

Test an AI product idea.

Define the customer job and the smallest useful release. Review a working prototype before committing to a wider build.

AI product development

WHAT A PROJECT SHOULD LEAVE YOU WITH

Scope it.
Test it.
Own the next step.

These are the decisions we make explicit in a proposal. The depth of each deliverable depends on whether you commission discovery, a prototype or production implementation.

Prepare a project brief
  1. 01

    A workflow and its boundaries

    Name the user, trigger, permitted information and expected output. Record the steps that remain manual and when the system must stop or ask for help.

  2. 02

    A test set and acceptance criteria

    Choose representative examples, awkward cases and unacceptable outcomes. Define what reviewers check, including missing evidence, incorrect actions and permission failures.

  3. 03

    An implementation and release plan

    Identify integrations, account access, deployment requirements and review milestones. A prototype should make its limitations visible before anyone relies on it operationally.

  4. 04

    A cost and ownership record

    Separate the build quote from model usage, hosting and subscriptions. Agree source-code ownership, licences, account access, documentation and support responsibilities.

COST & FIT

What does AI
consulting cost?

Fixed-price quotes. Most projects start from AUD $5,000, and small jobs are welcome.

The quote depends on the number of integrations, the condition of your information, the evaluation required and the deployment environment. A document intake workflow with one destination has a different scope from an agent with access to several internal systems.

Bring your current process, a redacted example and any timing or procurement constraints. We can discuss the scope without asking you to upload confidential documents in the first enquiry.

Use our consultancy comparison guide

CHECK THE EVIDENCE

Meet the people.
Inspect the work.

Pranjal Gupta leads the consultancy. Nivod Menusha works on AI engineering and R&D. Their biographies describe the experience behind the offer.

Our Data Lab is an owned public product. Our wider delivery experience includes consulting and placement arrangements; those organisation names do not imply endorsement.

Pranjal and Nivod’s experience Read the Data Lab engineering case study Explore delivery experience Check your information readiness

BEFORE WE BEGIN

Questions before you commission AI work.

Do you work with organisations outside Sydney?

Yes. DataXLR8 is based in Sydney and serves Australian businesses and government. Delivery arrangements, access to your systems and any location requirements are agreed for each engagement.

Can you help us adopt Claude?

Yes. We offer practical Claude adoption workshops and implementation around defined tasks. DataXLR8 is a Claude Partner Network member. The engagement identifies the relevant accounts, subscriptions, integrations and operating responsibilities.

How is consulting different from an AI build?

Discovery clarifies the problem, information and acceptance criteria. A prototype tests an approach. A production build adds the agreed integrations, evaluation and operating arrangements. The proposal says which stages you are buying.

When is AI the wrong choice?

If a fixed rule, search filter or existing software feature solves the task reliably, that may be the better starting point. Inaccessible source data or an unclear approval process may need attention before a model is useful.

How will we know the work helped?

Agree a baseline and a measure for the chosen task, such as time per reviewed item, correction rate or cases completed. Compare like-for-like work and include reviewer effort and running costs. Results depend on the actual process; they should be measured rather than assumed.

YOUR NEXT STEP

Bring us one job worth improving.

Describe the process and the result you need. We’ll discuss a useful scope.

Start the conversation

Fixed-price quotes. Most projects start from AUD $5,000, and small jobs are welcome.