AI pilots to an
AI operating model
A hands-on 12-week program that turns real work into tested AI workflows
Tested AI workflows
Clear roles & ownership
Shared standards
Repeatable routines
Team-owned Operating Model
Tested AI workflows
Clear roles & ownership
Shared standards
Repeatable routines
Team-owned Operating Model
THE DIFFERENCE
Training transfers knowledge. Enablement changes how people work.
TYPICAL AI TRAINING
Generic content based on predefined examples
Fixed curriculum with limited room for changing needs
Learning happens outside the workflow
Success means completing the training
PMA AI ENABLEMENT
Real work shapes what the team learns and tests
Adaptive sprints respond to progress, blockers and needs
Learning and application alternate: learn → apply → reflect → adapt
Success means capability: tested workflows, shared standards and internal ownership
The difference is not more AI content. It is staying close enough to the work to learn what the organisation actually needs.
Built for focused team enablement
Typically around 12 participants per cohort — small enough for hands-on work, peer exchange and individual support.
12 participants per cohort
Designed to scale
Start with one team or department. Once the model works in practice, the approach can be rolled out across further teams, functions or locations.
Start focused · scale when ready
GOOD TO KNOW
Every team starts somewhere else. So every program starts with a Readiness Assessment.
Know where you stand
The assessment measures AI competence, change readiness and team impact, not tool knowledge.
See how far you’ve moved
Repeated at the end of the program
to make progress visible.
to make progress visible.
READY TO LEAD
High Al competence and high change readiness.
Focus: advanced use cases and internal multipliers.
READY TO GROW
High change readiness with developing Al competence.
Focus: practical skill building.
STUCK EXPERT
Strong Al competence with lower change readiness.
Focus: adoption support and motivation.
FIRST THINGS FIRST
Lower Al competence and lower change readiness.
Focus: foundations, clarity and confidence.
Identify your internal AI Transformation Specialists
The assessment helps identify people with the potential to become internal multipliers - combining AI competence, change readiness and the ability to enable others.
Spot potential. Build internal capability. Reduce external dependency.
THE 12-WEEK ENABLEMENT PROGRAM
A proven end-to-end program that builds capability, delivers real results and creates for what comes next.
STAGE 01
Onboarding
4h kick-off session · readiness baseline
STAGE 02
Identify
4h learning + 4wk implementation · prioritised real-world use cases
STAGE 03
Prototype
4h learning + 4wk implementation · tested AI workflows
STAGE 04
Integrate
4h learning + 4wk implementation · shared standards & ownership
STAGE 05
Final Review
4h review session · AI Operating Model & 90-day action plan
OUR AI ENABLEMENT PRINCIPLES
Four principles guide every sprint
No internal project. No consultancy. Just a clear process — from first call to final report — that we've run many times before.
Real Value First
Use Case Canvas
Test, Learn & Adapt
AI Output Scorecard
Safe by Design
Trusted Source Map
Build Ownership
Roles & Responsibilities
Your AI Operating Model
An AI Operating Model is not a document. It is the system that defines how your organisation uses AI meaningfully, safely and consistently in everyday work. We don't hand your organisation a generic Operating Model.
Your team builds the foundations through real work – and learns how to evolve them as AI changes.
Value & Strategic Alignment
Align AI use with commercial objectives
Governance & Decision Rights
Establish clear rules for AI deployment
Roles & Responsibilities
Assign clear accountability for AI systems
Workflow & Process Design
Embed new systems into existing routines
Data & Technology Infrastructure
Structure architecture to secure your data
People, Culture & AI Literacy
Build practical AI capability in your team
Quality Standards & Output Governance
Apply strict controls to validate outputs
AI Operating Model Outcome
Deliver a stable structure for your teams
If needed, we continue to support your team when the real implementation begins.
90-Day Retro
Review progress after 90 days, surface blockers and adjust the Action Plan where needed.
Check progress
Adjust course
Stay on track
Implementation Sprints
Hands-on implementation support to turn selected Operating Model priorities into working routines, workflows and standards.
Prioritise
Build
Embed
FINAL STEP
In 12 weeks, your team should know how to use AI to create real impact.ation Specialists
30 minutes · No preparation required
