Supercharge is worth considering when the AI work belongs inside a customer product or a change to an older system. It brings product work, AI engineering and support into the same discussion.22,23,24
- Best for
- An AI feature within a wider product that also needs design and engineering.
- Avoid when
- You have funded a narrow automation, but the proposal requires a much larger product programme.
What the budget buys
Partly documentedSupercharge offers digital product delivery alongside agentic AI advice and engineering.22,23
Work left to your team
Partly documentedSupercharge describes its people as an extension of the client’s team.25
What counts as finished
Partly documentedWith a product project, check the whole task a user performs as well as the AI answer inside it.22,23
What you keep
Not establishedWhich code, designs, data pipelines and deployment files will the agreement give your company?
Help after launch
DocumentedSupercharge lists L1, L2 and L3 support and says its work continues after launch.24,26
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