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Sign-off

As explained in Delivering Machine Learning Projects: From design to deployment

System signoff is formal approval that a system's design and implementation satisfy applicable compliance requirements.

System sign-off is formal approval that the system has been designed and implemented compliantly. The sign-off role belongs to a stakeholder who can evaluate the system against organizational requirements and may veto the project outcome. Treat sign-off as an explicit delivery checkpoint, not as an informal assurance. section 2.3.2

Run sign-off as a governed project activity:

  • Identify the person responsible for system sign-off alongside security, data protection, QA, budget, business, and user stakeholders. section 2.3.2
  • Determine what the sign-off stakeholder requires and confirm that the project team is authorized to engage with that person. section 2.3.2
  • Present the system design and implementation for approval, recording the decision and any conditions rather than relying on verbal agreement. section 2.3.2
  • Keep system sign-off distinct from risk or budget sign-off: an accountable officer may accept proposed project risks, while the system sign-off role approves compliant delivery. section 3.2.3 section 2.3.2

Recorded approval checkpoint

Before committing to delivery, identify the system sign-off stakeholder and obtain agreement that the proposed design and implementation meet organizational requirements. Record the decision and circulate the supporting presentation after the sign-off meeting. Track unresolved risks separately in the risk register and revisit them with project stakeholders during regular review meetings. section 3.2.3 section 2.3.2

How Delivering Machine Learning Projects: From design to deployment covers it

How deep it goes
Defines the approval role and checkpoint, but stops short of prescribing technical compliance tests or detailed acceptance criteria.
Examples
Uses sign-off meetings, circulated presentations, accountable officers, budgets, and risk-register review meetings as approval artifacts.
What it assumes
Assumes a defined system proposal and stakeholder map, while requiring the team to identify approvers and their demands.
What you can do after
Practice/perform a documented approval checkpoint that identifies decision-makers, records acceptance, and separates system approval from risk acceptance.
How it connects
Connects system sign-off with security sign-off, data protection sign-off, QA sign-off, stakeholders, and project risks.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Delivering Machine Learning Projects: From design to deployment. The section links point to the parts of the book it draws on.