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half machine
creators of the agent design sprint method

Helping companies balance AI agent use case value versus risk to ensure real success.

Half Machine builds Governance Frameworks and uses the Agent Design Sprint method to help teams find the most valuable use cases and risk manage them early.  

Our Approach

The Value

Acting strategically

Act on use cases that are derived from workflows already proven to have value in the organisation.

Prototyping and evaluating

Prototype and evaluate agent outputs prior to moving them into team wide pilots.

Capturing validated use cases

Quickly get to numerous Agent use cases from a depth of discovery data.

POC planning from evaluations

Form a plan for scaling agents based on well defined use cases and evaluations.

Testimonials

Doing design sprints with Half Machine helped us to not only find the best use case ideas from our processes but to surface all of the complexity related to those ideas. Highly recommend.
Nick C
HaltH
We've run numerous design sprints with Half Machine, their ability to adapt the process to meet the needs of innovation in any product category is excellent.
Fernando N
Dulux Group
Using the Agent Design Sprint approach helped us to hone in on the best uses of generative AI within our product. Instead of applying guesswork we engaged in deeper research and analysis which made all the difference.  
MIchele S
Builtlist
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Uncover high-impact AI Agent use cases—drive efficiency & automation in your organization.
Half machine
Interested in finding & de-risking valuable agent use cases in your organisation?