Axis Bridge

Insights · Working methods

Decisions before systems.

Define where the data goes, who may act and what counts as working. These guides turn those questions into things your team can inspect: matrices, scorecards and a readiness checklist.

  1. Accepting a Business AI System: Tests to Agree Before You Build

    A buyer’s acceptance method for agents, knowledge systems and private AI, with printable scorecards and a fictional support-knowledge example.

    · AI agent development

  2. Human Approval for AI Agents: An Authority Model

    Define who may act, what approvers need to see, how timeouts stop execution, and the audit evidence needed to review or recover an agent action.

    · AI agent development

  3. Local, Private Cloud or Hosted AI? How to Choose

    Compare five AI deployment options by data handling, model quality, operating burden and exit path, with a decision tree and a synthetic cost method.

    · Private AI infrastructure

  4. RAG Readiness: A Scored Checklist for Business Knowledge

    Score your sources, permissions, content quality, questions and operations, with evidence examples and a checklist that also works without JavaScript.

    · RAG and knowledge systems

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What to include

Include the decision, the systems involved and the constraints your team needs to resolve.