A focused use-case and selection brief
Define the task, permitted inputs, expected outputs, and review criteria. Compare capabilities against those needs.
Healthcare AI implementationThe right use for AI.
The right use for AI.
A clear role for people.
Move from interest in AI to a well-defined use case. We assess where it can help your practice, select appropriate capabilities, and implement an agreed workflow with review built in.
Map your workflowMore than a decade of domain expertise.
Practice knowledge. Technology judgment.
THE AMAZE TECH APPROACH
Useful AI starts with context.
01
DefineChoose a specific task
↓02
EvaluateTest the fit
↓03
ImplementKeep review visible
Workflow expertise + evaluated capabilities
AI supports an agreed task. Your team owns the decisions.
Where we beginA promising tool needs
A promising tool needs
a practical purpose.
A feature demonstration does not show how AI will work in your practice. We examine the task, systems, information, and review responsibilities before choosing an approach.
Does this sound familiar?
Your team is comparing AI tools without a defined use case.
A pilot produces outputs, but no one owns their review.
You need to know where AI adds value beyond ordinary automation.
What the engagement providesA clear scope.
A clear scope.
Practical deliverables.
We agree the work and intended outputs with your practice before implementation.
An agreed AI-assisted workflow
Configure the agreed capability, with clear review, exceptions, access limits, and fallback steps.
Validation and operating guidance
Test representative scenarios, record limitations, and explain how your team checks outputs and raises issues.
What this can look likePrepare the information.
Prepare the information.
Keep the review with a person.
Illustrative example: summarize an approved internal process document, using agreed inputs and review criteria.
- 01Approved input
Use permitted material
- 02Draft summary
Apply the agreed task
- 03Human review
Check against the source
- 04Approved next step
Use or revise the output
An AI-generated draft is not a verified fact or an automatic decision. Review is part of the workflow.
How we work with youDomain knowledge.
Domain knowledge.
Applied to your reality.
Automation first. AI only where it helps. Your people stay involved in the decisions that shape their work.
- 01
Decide whether AI belongs in the workflow
Understand the problem and compare simpler process changes, existing features, and rules-based automation before recommending AI.
- 02
Evaluate the capability in context
Review input requirements, supported connections, access controls, costs, and limitations. Agree on the examples and criteria used to assess suitability.
- 03
Implement, validate, and hand over
Test the agreed routine and exception scenarios. Document review responsibilities, fallback steps, and how changes will be assessed.
A bounded use case.
Clear accountability.
Scope and practical considerations
Implementation covers the agreed use case and supported tools. AI quality varies; testing does not replace appropriate oversight. Clinical decisions, autonomous coding decisions, and guaranteed accuracy are not part of this general service offer. Vendor access, licensing, data handling, and ongoing review are agreed before implementation.
Meet the expertise behind the workYour questions
Before we begin.
What types of practice tasks can you evaluate for AI?
Examples include extracting information, preparing summaries, and drafting internal content for review. Suitability depends on the information, consequences of errors, and review responsibilities.
Do you recommend a specific AI product to every practice?
No. We assess the workflow and existing tools first. Selection considers the required capabilities, supported integrations, constraints, and review needs rather than a standard product for everyone.
How do you validate an AI workflow?
We agree on representative examples and expected behavior, then check useful outputs, failure cases, and review steps. The evaluation helps define where the workflow can be used and where it needs a person or another approach.
Can we begin without using patient information?
An initial discussion can use a general workflow description and synthetic examples. Any later data use must be explicitly assessed and agreed. Do not submit patient information through this website.
What happens when an output is wrong or incomplete?
The workflow needs a clear review and escalation path. We define how the team checks outputs, rejects or corrects them, and falls back to an established process when necessary.
A better way to workStart with the task.
Map your workflow Start with the task.
Then decide whether AI fits.
Tell us what your team is trying to improve. We’ll discuss the workflow and whether AI has a useful, well-defined role.