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DataPassage.ai

Artificial Intelligence

AI Strategy and Governance

Decide where AI creates value, and govern how it is used. An AI strategy grounded in your readiness and your highest-value use cases, with the governance to adopt AI responsibly.

What this covers

  1. AI strategy and roadmap

    Where AI fits your business, in what order, and what has to be in place first.

  2. AI readiness assessment

    Whether your data, systems and governance are ready for the AI you plan.

  3. Use-case discovery, prioritization and business case

    The use cases worth doing, ranked by value and feasibility, each with its business case.

  4. Responsible AI and governance

    The policies, controls and oversight that keep AI use within policy and accountable.

  5. AI architecture advisory and governance monitoring

    The architecture choices that let AI scale safely, and ongoing monitoring that governance and controls stay effective.

When you need this

  1. We have AI ideas across finance, operations and customer service and no way to rank them.

  2. We are not sure our data and systems are ready for the AI we are being asked to deliver.

  3. We need a policy and controls for how AI is used before it spreads across the organization.

  4. Leadership wants an AI roadmap with a business case, not a list of experiments.

How we engage

  1. Advise

    Find where AI creates real value.

    • AI Strategy & Roadmap
    • AI Readiness Assessment
    • Use-Case Discovery & Prioritization
    • AI Business Case & Value Assessment
    • Responsible AI & Governance
    • AI Architecture Advisory
  2. Manage

    Keep AI reliable, secure and continuously improving.

    • Governance & Control Monitoring

See the full AI engagement model

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