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Enterprise / Adopt AI securely

Move AI forward with clearer security boundaries.

Connect the business case for AI to the data, permissions, application behavior, and operating decisions that make adoption accountable.

AI adoption decisions

What needs to be true before usage expands?

A useful adoption decision goes beyond selecting a model. Employees, third-party tools, connected data, and automated actions shape the application's actual exposure.

Start by defining the use case and the information or decisions it touches. Then agree which controls and tests are proportionate.

Questions to resolve

  • Who owns the use case and approves changes?
  • Which data can enter or leave the workflow?
  • What access or actions do integrations permit?
  • Which outputs require human review?

When to consider a review

Where a scoped review can be useful.

Connected information

Internal data in AI workflows

Review retrieval, sharing, access assumptions, and the intended information boundary.

Delegated action

AI tools that can do things

Identify permitted actions, approval points, and the consequences of misleading instructions.

Growing use

A pilot becoming an operating process

Clarify ownership, change review, testing, and the conditions for expanding access.

AI workflow overview

The model is only one part of the system.

An AI workflow connects people, information, and permissions. Review those relationships—not just the response on screen.

Define what information the application can retrieve, what actions its tools can take, and where a person needs to approve the result.

The actual boundary depends on your architecture and agreed scope.

AI workflow / review boundaries
  1. People & use case

    Ownership · intended use · approval

  2. AI application

    Instructions · retrieved data · model behavior

    • Data access
    • Tool permissions
  3. Outputs & actions

    Validation · human review · accountability

Illustrative workflow—not a reference architecture or a claim of controls already implemented.

Assessment process

Combine the right work—not every service.

  1. Map the use case.

    Identify people, systems, data paths, and meaningful failure scenarios.

  2. Select controls and tests.

    Discuss application testing, access controls, workflow hardening, and governance against the agreed use case.

  3. Make an informed next decision.

    Use the agreed findings and recommendations to assign ownership and prioritize changes.

Common questions

A practical adoption conversation.

Does this certify an AI system as safe?

No. A scoped review or test identifies observations within defined conditions. It is not a model-safety certification or a guarantee about future behavior.

Can the discussion include systems already in use?

Yes. Describe the use case at a high level first. Supported platforms, authorizations, data-handling requirements, and any implementation work must be agreed before an engagement.

Discuss your needs

A useful next step starts with your environment.

Discuss the decision, systems, and boundaries that matter. We can establish what work is appropriate before making commitments.

Discuss your needs ↗