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Security & governance

Your systems. Your controls. Your audit trail.

We agree how your data, tools and access will be used before work begins — with clear approval points and ownership throughout.

Governance before work begins

We agree six boundaries before we start.

  1. 01

    Approved environments and AI providers

    We work only in the repositories, environments and AI tools your organisation has approved.

  2. 02

    Scoped, revocable access

    Each person gets the access the work needs, granted by your team and removable at any time.

  3. 03

    Explicit data and model boundaries

    We agree which data can be used, which models can see it and what stays out of scope, in writing.

  4. 04

    Human approval for consequential decisions

    AI prepares the work. A named person approves wherever a decision changes risk, money or customers.

  5. 05

    Ownership and handover in the scope

    What we build and what your team keeps is agreed before work begins, not at the end.

  6. 06

    Logging, retention and offboarding

    We agree what is logged, how long it is kept and how access and material are removed when the work ends.

In each offer

How the boundaries apply.

Custom AI Agents & Systems

Agents run inside your environment, connect to your systems with your permissions and ship with evals and a performance baseline. Nothing posts without the review you set.

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AI-native SDLC

The AI-native SDLC team works inside your approved repositories and tools. Every change goes through your review, tests and sign-off.

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AI Champion Program

Each selected AI initiative has agreed data boundaries, a named owner and review points. Your champions build within these controls as your Center of Excellence takes shape.

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AI Training & Enablement

We prepare a separate workspace or use your approved environment. Engineering uses prepared projects as standard; client code is agreed separately. Business and domain programs use approved material.

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DORA Metrics & Dashboards

Your team builds and runs the dashboard with our guidance, using approved delivery data and access. We agree metric definitions and validation; your team owns delivery decisions.

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Working with your compliance team

Clear evidence for your compliance review.

We agree the evidence your risk and compliance teams need, based on your policies and the scope of the engagement.

Access and data

Approved tools and models, permitted data and agreed access boundaries.

Reviews and approvals

Named reviewers, approval points and records of agreed sign-offs.

Validation and handover

Relevant evaluation results, operating documentation and ownership records.

Confidentiality

Confidentiality agreed before access.

We sign your NDA and data processing agreement before access is granted. We also agree how sensitive material will be shared. Keep the first conversation high-level; credentials and confidential files can wait until those arrangements are in place. Read our privacy policy.

Let’s discuss your security requirements.

Bring your security or compliance team. We’ll walk through the access, data and approval boundaries for the engagement you have in mind.

founders@amotion.ai