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Accepted Deliverables

Project outputs—whether products, outcomes, or capabilities—that have been formally reviewed and approved by the customer or sponsors as meeting the agreed-upon acceptance criteria.

Key Points

  • They result from a formal acceptance process confirming the deliverables meet predefined acceptance criteria.
  • Acceptance follows verification; quality checks confirm correctness first, then the customer/sponsor approves.
  • Documented acceptance often triggers payments, phase gates, or readiness for project or phase closure.
  • Unaccepted deliverables typically lead to change requests, defect repairs, or rework until criteria are met.

Example

A software project completes a reporting module that passes internal testing (verified). The client conducts user acceptance testing against the agreed criteria and signs off. The signed-off module is recorded as an accepted deliverable.

PMP Example Question

After demonstrating a finished feature to the client, the client signs a document confirming the feature meets the agreed acceptance criteria. Which item should the project manager record?

  1. Verified deliverables
  2. Accepted deliverables
  3. Scope baseline
  4. Quality management plan

Correct Answer: B — Accepted deliverables

Explanation: Client sign-off confirming requirements were met produces accepted deliverables. Verification occurs before acceptance and does not imply customer approval.

AI Systems with Claude, for Scrum Masters and Project Managers

Most AI pilots in project management do not fail on the model. They fail because somebody pointed the thing at a decision instead of at a task. This course is built around that distinction, and around the work that follows once you get it right.

Seven sections, taught against one running project from the first lecture to the last. You watch a system get built, then you build the same one against your own sprint. Nothing here is a demo that works only on the example.

You finish with five working systems and you keep them. The sprint report machine turns your board export and standup notes into the report you currently write by hand. The retro intelligence system tells you what the team keeps saying, not just what it said this time. The stakeholder comms engine drafts the update in the register the audience expects. The backlog health monitor flags the quiet decay nobody has time to check for. The risk and dependency tracker follows the chains that actually bite.

Seventy-six working files ship with it, across four sections, so every system is built against real sprint data rather than material invented for a slide. Four sprints of retrospectives, board exports, standup notes, backlog and risk data.

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Build complete project plans in minutes with AI

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