Pricing & compare

The right environment.
The right level of support.

Choose the implementation that fits your Good Work, your readiness and the Great Work you want capacity for. Here are the costs and the distinctions.

Implementation pricing

AI Launch

View scope

One person, practical AI configuration, repeatable workflows and agreed implementation support.

A$2,200
per person

AI Amplify

View scope

Deeper owner or executive implementation across priorities, projects, decisions and information sources.

A$6,500

AI Role Onboarding

View scope

Apply an existing approved company and role standard to a new employee.

A$1,500
per employee

Scale

View scope

Roll out a proven Launch-style or Amplify-style team model.

Price on application

Momentum

View scope

Maintain and improve an existing AI system.

Price on application

All prices are in Australian dollars. Get To Work AI is not currently registered for GST. No GST is added to these prices. Required software subscriptions remain customer-owned and customer-paid unless expressly agreed otherwise. No compulsory retainer follows Launch or Amplify.

What else will you pay for?

Software plans are separate from the implementation fee. The platforms and subscriptions you need are confirmed before you commit, based on the agreed workflow and existing licences.

Extra users, unsupported integrations and work outside the agreed scope need separate agreement. Scale and Momentum are individually quoted. Amplify is paid 50% before discovery and build, and 50% before handover.

Launch or Amplify?

Your questionAI LaunchAI Amplify
What do I need?One standalone person using the standard Claude or ChatGPT interface.An advanced executive environment in VS Code using Claude.
What is the commitment?A$2,200 per person · preparation, working sessions, deliverables and support defined in the accepted proposal.A$6,500 · deeper implementation, with format, timing, deliverables and support defined in the accepted proposal.
What is the focus?Role context, agreed recurring workflows, an AI Learning project, a practical business project and starter skills.Business Bible, priorities, decision history, Projects, Skills and controlled memory. Projects hold the context; Skills hold the method.
How does it develop?Practise, review and refine the individual setup within the agreed support period.Progressively more context-aware as the executive reviews and approves new knowledge, decisions and updates. Skills remain human-directed and reviewed.
Where should I start?Choose this if your use is fragmented or inconsistent.Suitable without Launch if your capability and technical foundation are ready.

Implementation is one option.

Different approaches solve different problems. The right choice depends on what is missing in your business.

ApproachWhen it makes senseThe trade-off
DIYLow-risk tasks, a capable internal owner and time to experiment.Lower external spend; your people own configuration, testing and maintenance.
Generic AI trainingBuilding confidence, awareness and shared basic skills.Training can be valuable. Applying it to your accounts and real work may still need separate implementation.
Tool-only deploymentLicences, permissions and access are the main gap, with internal adoption support ready.Buying access alone does not define useful work, standards or review habits.
Traditional consultancyBroader strategy, organisation change, enterprise architecture or complex integration.Can cover a wider problem. Clarify whether hands-on implementation and adoption are included.
Get To Work AIYou want a defined practical implementation inside your accounts.Bounded scope and human review. It does not cover every system or replace enterprise IT expertise.

Claude, ChatGPT or Copilot?

Start with the work and your governance requirements. No platform is the best choice for every business.

PlatformConsider it whenCheck first
ClaudeYou want a context-rich working space for writing, analysis and repeatable executive work. Our preferred default where suitable.The plan, approved information, connectors and the workflow’s actual requirements.
ChatGPTYour existing capability, preferred features or supported workflows fit ChatGPT.The business plan, data controls, supported connections and output quality for your tasks.
Microsoft CopilotWork is centred in Microsoft 365 and its native integration fits your needs.Licences and existing Microsoft permissions. Broad access stays a governance issue.

We implement Claude and ChatGPT where appropriate. Assessment may recommend Copilot, a controlled combination or no deployment yet. A Copilot recommendation does not mean a custom Copilot rollout is included in Launch.

When should you wait?

  • No one can own the change or review the outputs.
  • Sensitive information and access rules are not settled.
  • Microsoft permissions expose more than staff should see.
  • The proposed work needs reliable autonomous high-risk decisions.
  • The task is infrequent, already efficient or not worth the implementation cost.

What would you do with more Great Work capacity?

Tell us what is taking time and what a better result would look like. We’ll reply directly and let you know whether Get To Work AI is likely to help.

See if we’re a fit