Ideas. Experiments. People. Join the Cybergizer community ↗
Cybergizer /Our services

AI services for
your next
working system.

Choose discovery, AI implementation, engineering team adoption or software modernization. Each service starts with a defined problem and a scope your team can review.

01AI strategy & discoveryChoose an AI project you can deliver.+

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

  • A map of the workflow, users and constraints
  • A ranked set of opportunities with build-versus-buy options
  • A first implementation scope, evaluation criteria and cost assumptions
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02AI systems & product developmentBuild and connect your AI workflow.+

Build assistants, document workflows and product features connected to your data, APIs and users.

  • An integrated workflow, assistant or product feature
  • Evaluation cases, source handling and failure behavior
  • A release plan, operating documentation and agreed support boundaries
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03AI adoption for engineering teamsPut AI tools to work in your team.+

Help your engineering team use AI tools with repository context, practical workflows and code review.

  • A mapped delivery workflow and selected first improvement
  • Configured tools, reusable context and practical team guidance
  • A measurement baseline, review rules and a next-stage plan
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04Software modernizationUpgrade software your business depends on.+

Upgrade, integrate or refactor existing applications while preserving the behaviour your business relies on.

  • A dependency and behavior map of the selected system
  • A staged modernization plan with explicit change boundaries
  • Implemented changes, regression checks and release documentation
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Agree the scope.
Know what you get.

Tell us which process, product or engineering task needs to change. If the requirements are clear, we scope the implementation. If data, feasibility or value is uncertain, we propose focused discovery first. You review the deliverables, team, dependencies and acceptance criteria before work begins.

Discuss the work you need done ↗

Plan a program.
Test a focused change.

Coordinate several AI workstreams, test an engineering workflow in a focused pilot, or identify the readiness gaps to resolve first.

Enterprise AI program ↗

Four-week engineering pilot ↗

AI maturity and readiness ↗