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Building a Programme Management Office for AI-Augmented Delivery (SaaS Platform PMO)

$199.00
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A focused course, tailored for you

Building a Programme Management Office for AI-Augmented Delivery (SaaS Platform PMO)

Build the PMO that supports AI-augmented platform delivery in 10 weeks. Portfolio governance + agile-at-scale + AI-augmented programme management + measurement framework + executive engagement.

SaaS platforms running AI-augmented delivery need PMOs that operate at AI-augmented cadence. Traditional waterfall PMOs miss the moment. Programme managers who can build the PMO that supports AI-augmented platform delivery take the leadership work. Here is the 10-week build.

$199 one-time
Tailored to your situation. Access within 24 hours. 30-day money-back.

Includes a hand-built implementation playbook delivered alongside course access, generated for your specific situation.

Why this course

SaaS platforms shifted decisively into AI-augmented delivery in 2025-2026. Engineering teams ship features at higher cadence with AI-assisted code, AI-augmented testing, AI-augmented documentation, AI-augmented operations. Customer expectations adjusted accordingly. The Programme Management Office that supports this delivery cycle is structurally different from the traditional waterfall PMO.

Programme managers that can build the AI-augmented PMO take the leadership work. PMOs stuck in monthly steering committees and quarterly milestones miss the moment.

This course teaches the 10-week build of an AI-augmented delivery PMO: portfolio governance for high-cadence delivery, agile-at-scale operating model, AI-augmented programme management tooling, measurement framework, dependency-management at AI-augmented pace, and the executive engagement model. Twelve modules with deliverables. Plus a hand-built implementation playbook for your specific platform.

What you walk away with

  • A documented portfolio governance framework for high-cadence delivery.
  • An agile-at-scale operating model.
  • An AI-augmented programme management toolkit.
  • A measurement framework aligned to AI-augmented delivery outcomes.
  • A dependency-management model.
  • An executive engagement model.
  • A 10-week build plan.

The 12 modules

Module 1. AI-augmented delivery landscape for SaaS platforms 2026
Detailed walkthrough of 2026 SaaS platform delivery patterns: AI-assisted code generation (Cursor, Copilot, Aider, Devin), AI-augmented testing (autonomous test generation, AI-driven exploratory testing), AI-augmented documentation, AI-driven operations and incident response, and the impact on engineering velocity, quality, and team composition. What this means for the PMO.
Module 2. Portfolio governance for high-cadence delivery
Build the portfolio governance: portfolio-level OKR alignment, programme-level OKR-to-team-OKR cascade, decision-rights matrix (which decisions at which level), governance cadence (weekly portfolio review, monthly portfolio review, quarterly portfolio review), portfolio-funding model, and the integration with strategic planning. The governance that operates at AI-augmented delivery cadence.
Module 3. Agile-at-scale operating model
Build the agile-at-scale operating model: agile-team-structure, scaling pattern selection (SAFe, LeSS, in-house, mixed), program-increment cadence, PI-planning workflow, cross-team dependency management, scaling metrics, and the integration with product management. Three at-scale patterns from peer platforms.
Module 4. AI-augmented programme management toolkit
Build the AI-augmented programme management toolkit: AI-augmented status reporting (summarising team updates), AI-driven risk identification (analysing project communications for risk signals), AI-augmented stakeholder management (drafting communications, identifying engagement patterns), AI-driven dependency identification, and the tool selection (Atlassian Intelligence, Notion AI, Linear, ClickUp AI, in-house). Three toolkit patterns.
Module 5. Measurement framework for AI-augmented delivery
Build the measurement framework: delivery velocity (deployment frequency, lead time for changes), quality (change failure rate, time to recover), AI-augmentation contribution (lines of AI-generated code, AI-augmented incident response time), customer outcomes (feature adoption, customer satisfaction, NPS), and the integrated dashboard. The framework aligned to DORA metrics + AI-augmented overlay.
Module 6. Dependency management at AI-augmented pace
Build the dependency management: cross-team dependency identification, dependency-blocking workflow, dependency-resolution patterns (in-team, cross-team, platform-team), pre-emptive dependency management, dependency reduction patterns (loose coupling, async boundaries, contracts), and the integration with product roadmap. The dependency management that does not bottleneck velocity.
Module 7. Capacity planning and resourcing
Build the capacity planning and resourcing: team-capacity model with AI-augmentation multiplier, programme-level resourcing, dynamic resource reallocation, contractor-and-vendor model, capability uplift programme, and the integration with finance. The model that captures AI-augmentation efficiency without overpromising.
Module 8. Quality-and-risk programme
Build the quality-and-risk programme: programme-level quality gates, risk-register management, escalation workflow, audit-and-compliance integration, customer-trust programme management (SOC 2, ISO 27001, FedRAMP), and the incident-management integration.
Module 9. Stakeholder communication and engagement
Build the stakeholder communication and engagement: stakeholder map (executives, customers, partners, regulators), communication cadence by stakeholder type, AI-augmented stakeholder communication drafting, executive-update template, customer-facing programme communication, and the partner-and-channel programme communication.
Module 10. Customer engagement and trust
Build the customer engagement and trust programme: customer-success integration with platform delivery, customer-feedback loop with engineering teams, customer-advisory board operations, beta programme management, and the customer-trust artefact (SOC 2 report, ISO 27001 cert, FedRAMP authorisation status) management.
Module 11. Executive engagement and board reporting
Build the executive engagement: CEO partnership, CTO partnership, CPO partnership, COO partnership, CFO partnership, and the board-of-directors reporting cadence. Programme-management metrics the board reads: deployment frequency, change failure rate, customer-satisfaction trend, programme-portfolio health.
Module 12. Your 10-week build plan
Week-by-week plan with weekly deliverables. Weeks 1-2: AI-augmented delivery landscape + portfolio governance. Weeks 3-4: agile-at-scale operating model + AI-augmented PMO toolkit. Weeks 5-6: measurement framework + dependency management. Weeks 7-8: capacity planning + quality-and-risk programme. Weeks 9-10: stakeholder communication + executive engagement plan. Deliverable: full PMO operating model.

How this addresses your situation

Specific modules that map to what you said you are dealing with.

Module 1 covers the delivery landscape.
Modules 2 to 6 produce portfolio governance, agile-at-scale model, AI-augmented toolkit, measurement framework, and dependency management.
Modules 7 to 10 cover capacity, quality, stakeholder communication, and customer engagement.
Module 11 covers executive engagement.
Module 12 covers the 10-week build plan.

What you get with this course

  • The 12-module course delivered as text plus downloadable templates.
  • Templates for portfolio governance, agile-at-scale operating model, AI-augmented programme management toolkit, measurement framework, dependency management, capacity planning, quality-and-risk programme, stakeholder communication, customer engagement, executive engagement.
  • A hand-built implementation playbook generated for your specific platform.
  • Three worked examples of AI-augmented delivery PMOs at peer SaaS platforms.
  • Scripted talking points for the COO engagement.

What you will have in hand by Day 1, Week 1, Month 1

Day 1: Portfolio governance framework scaffold drafted.

Week 4: Agile-at-scale model + AI-augmented PMO toolkit operational.

Week 8: Measurement framework + dependency management operational.

Week 10: Full PMO operating model in active use.

Before and after

Before

Your PMO operates on monthly steering committees and quarterly milestones. Engineering teams ship at AI-augmented cadence. The mismatch creates friction. Executives want answers faster than the PMO provides.

After

An AI-augmented delivery PMO is operating. Portfolio governance runs at AI-augmented cadence. Measurement framework reflects AI-augmented delivery. Dependency management does not bottleneck velocity. Executives have the answers they need at the cadence they need them.

What happens if you do not address this

SaaS platforms running AI-augmented engineering without aligned PMOs lose velocity to friction. Programme managers that do not build the AI-augmented PMO see scope eroded by product and engineering leadership.

Who it is for

For PMOs, programme managers, portfolio managers, and Chief Operating Officers at SaaS platforms running AI-augmented delivery.

Who this is NOT for. Pure research roles. Firms not running platform delivery. Pure waterfall organisations.

How it arrives

Text-based course via LMS, plus downloadable templates and the hand-built implementation playbook.

Time investment. Roughly 18 hours of reading and 80 to 150 hours of team effort across the 10-week build.

Why $199 is the right number

External PMO consultants charge $200K-$1M for SaaS-platform engagements. Big4 advisory engagement runs $500K-$2M. Specialist agile-at-scale firms (SAFe-certified, in-house) charge $200K-$1M. $199 buys the focused playbook plus the implementation document for your specific platform.

FAQ

Will this replace hiring a PMO consultant?
Partially. It teaches the operating model. You may still want specialist input for SAFe-at-scale rollout.
What if my organisation uses a non-SAFe scaling pattern?
Module 3 covers SAFe, LeSS, in-house, mixed.
Does this cover platform-engineering practices (Team Topologies)?
Module 3 covers Team Topologies as adjacent pattern.
What about enterprise-architecture integration?
Module 2 covers enterprise-architecture integration as adjacent topic.
What is in the implementation playbook for me specifically?
Portfolio governance framework tailored to your platform's organisational structure; measurement framework matched to your existing telemetry; a 10-week build plan.

30-day money-back guarantee. If after a week of working through the materials this is not what you needed, reply to the receipt email and a full refund is processed. No questions, no forms.

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.