PPACER Hybrid™
AI PROJECT DELIVERY TRAINING

Lead AI projects.
With a clearer
way forward.

Bring governance, experimentation and responsible AI together. Prepare now to apply PACER Hybrid™ to the decisions your next AI project will demand, from promising ideas to dependable outcomes.

Join the launch list

Join the launch list today. No payment or commitment.

BUILT FOR THE PEOPLE LEADING AI DELIVERY

Project & program managers · Delivery leads · PMO & transformation teams

THE PACER HYBRID™ APPROACH

Five disciplines.
One connected approach.

PACER Hybrid™ brings project governance, Agile and data science together with ethical evaluation and continuous risk review. It gives established methods a clear purpose within AI delivery, with five connected disciplines working across the lifecycle.

Project governance

Business case, sponsorship, decision rights, scope, funding, schedule, dependencies and escalation.

PMBOK · PRINCE2 · Organisational governance

Agile delivery

Short planning horizons, prioritised work, stakeholder feedback, visible increments and adaptation as evidence emerges.

Agile · Scrum · Kanban · Product practices

CRISP-DM lifecycle

Business and data understanding, preparation, modelling, evaluation and deployment through iterative learning.

CRISP-DM · CRISP-ML(Q) · Data science practice

Ethical and evidence-based evaluation

Quality, safety, fairness, explainability, privacy, security and human oversight.

NIST AI RMF · ISO/IEC 42001 · Assurance policy

Risk, release and continuous review

Controlled release, monitoring, drift, incidents, retraining, benefits review and retirement.

MLOps · Service management · Benefits realisation

A PRACTICAL RESPONSE TO AI COMPLEXITY

A good plan needs
room for discovery.

AI delivery asks you to commit to outcomes while the data, model performance and risks are still emerging. A working prototype is only part of the story.

PACER Hybrid™ connects established delivery disciplines so you can govern investment, support experimentation and make release decisions with evidence. Tailor the approach to the impact and uncertainty of your project.

Build your AI delivery capability
01 / FRAME

Start with a decision
worth making.

Connect the AI use case to business value, clear ownership and the evidence needed to proceed.

02 / DELIVER

Make learning
part of the plan.

Bring iterative delivery and the data science lifecycle into a practical governance structure.

03 / ASSURE

Stay accountable
beyond go-live.

Consider evaluation, human oversight, release readiness and ongoing review from the outset.

TWO WAYS TO LEARN

Your next step.
At your pace.

Choose the format that fits how you learn and work. Join the launch list now and hear when first-cohort enrolment opens.

FLEXIBLE LEARNING

Self-paced

Explore PACER Hybrid™ independently, with the flexibility to fit learning around your work and revisit the concepts that matter to your projects.

Your schedule. Your pace.
GUIDED LEARNING

Instructor led

Develop your understanding through facilitated learning, questions and discussion about applying the approach to real AI delivery challenges.

Shared learning. Practical discussion.

Course outlines, delivery arrangements, dates and pricing will be announced before enrolment opens.