AURA 3.0 Project Delivery PM BA Agile Guide

AURA 3.0™ Delivery and Portfolio Practitioner Summary

How AURA turns AI governance into prioritised work, governed flow, traceable evidence and decision-ready delivery.

Free practitioner summary. 13 pages. Version 1.0, July 2026.

Policy is not proof. A risk decision, an architecture review or an approved AI policy has no practical effect until it becomes funded work, assigned ownership, acceptance criteria, evidence and an enforceable release condition. Project delivery is where that conversion happens. This summary shows delivery professionals exactly how.

Who it's for

Portfolio managers, PMO leads, programme and project managers, business analysts, product owners, Agile Leads, Scrum Masters, RTEs and cross-functional delivery teams working on or around AI initiatives.

What AURA adds

AURA does not replace PMI, PRINCE2, Scrum, Kanban, SAFe or your product operating model. It adds the AI-specific authority, controls, evidence, release decisions and runtime hand-offs those methods were never designed to carry.

What's inside

• The Nine-Step Spine translated into delivery terms: from use-case inventory and risk tiering through release gates, runtime monitoring and assurance reporting
• The six operational layers and where delivery teams actually work within them
• Portfolio demand shaping and risk-adjusted prioritisation, including control cost, evidence burden and stop rules
• Requirements, provenance and traceability guidance for BAs, including how to handle AI-generated requirements
• AURA inside Agile and SAFe cadence: attaching governance work to ceremonies you already run, and an evidence-bearing Definition of Done
• The Seven Release Gates and what decision readiness really means: go, conditional go, hold, stop or redesign
• Operational hand-off and continuity, so evidence and conditions keep their owners after project closure
• Portfolio cockpits and delivery reporting that distinguish activity from decision readiness
• A first 90 days implementation backlog, acceptance checklist and the anti-patterns that break AI delivery

What changes for your delivery practice

Ideas become governed use cases. Risk becomes delivery scope. Status becomes decision readiness. Definition of Done becomes evidence-bearing. Release becomes a recorded decision, not a date. Portfolio value becomes risk-adjusted.

Scope note

This summary deliberately excludes Organisational Change Manager and Tester role guidance. Each gets its own dedicated practitioner summary.

Want the full model?

This summary is drawn from the complete AURA 3.0 AI Op Model publication: six layers, one spine, fourteen epics, seventy-nine stories, core templates, three companion guides and the Excel diagnostic toolkit. The full bundle is available in this store.