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Cybergizer /AI strategy & discovery

Choose an AI project you can deliver.

Turn competing AI ideas into a scoped project, with the data, costs and acceptance criteria needed to decide.

Which AI idea
deserves a budget?

For business owners, operations leaders and product teams choosing what to fund. Compare ideas against the process problem, available data and work needed to deliver a useful result.

We map a real task with its users and owner, examine data access and system dependencies, and compare build, buy and simpler automation options. You get a recommendation with the assumptions and open questions visible.

Discovery deliverables

A decision and
a delivery plan.

01

A map of the workflow, users and constraints

02

A ranked set of opportunities with build-versus-buy options

03

A first implementation scope, evaluation criteria and cost assumptions

Start with one
business process.

Tell us how the task works today, who owns it and what needs to improve. A recent example helps us identify the questions discovery needs to resolve.

How you accept the work

Review the workflow map, recommended option and first delivery scope with your business and technical owners. Use them to decide what to fund, test or defer.

We agree the discovery questions, deliverables and participants before confirming the scope and schedule.

Discuss your AI priorities ↗