
AI-Native Training
AI-Native Foundations and Change Agent training to help organizations adopt AI responsibly and at scale.
Build AI fluency. Lead responsible adoption. Scale real enterprise impact.
Agile Rising delivers Scaled Agile’s AI-Native Foundations and AI-Native Change Agent courses— a practical pathway for professionals and transformation leaders to turn AI ambition into measurable outcomes.
Why AI-Native training now
Enterprises are moving beyond experimentation—success requires fluency, responsible practices, and change leadership.
Fluency over fads
Build durable principles and mindsets that outlast tools, models, and hype cycles.
Responsible by design
Make governance, risk, and ethics part of the workflow—without slowing delivery.
Enterprise impact
Align teams and leaders on how AI changes work, value flow, and operating models.
Two courses. One scalable strategy.
AI-Native Foundations builds baseline fluency. AI-Native Change Agent equips leaders to drive adoption and sustain change.
| Category | AI-Native Foundations | AI-Native Change Agent |
|---|---|---|
| Primary outcome | AI fluency, shared language, and practical ways of working. | Change leadership for responsible AI adoption at scale. |
| Best for | Professionals across business + technology; teams starting AI adoption. | Transformation leaders, coaches, product/portfolio leaders, and change agents. |
| Format | Two-day immersive course (typical delivery); cohort-based learning. | Advanced course focused on adoption patterns, operating model change, and leadership. |
| Skills you build | Responsible AI principles, workflow redesign, practical use patterns. | Stakeholder alignment, change approach, governance integration, adoption playbooks. |
| Recommended path | Start here. | Take after Foundations (or equivalent readiness). |
AI-Native Foundations
A two-day immersive course that builds practical AI fluency—principles, practices, and mindsets for the Age of AI.
What you’ll be able to do
- Apply responsible AI principles in day-to-day decisions.
- Redesign personal and team workflows to amplify productivity.
- Recognize where AI can reduce cognitive load and speed value flow.
- Communicate clearly about AI opportunities, risks, and next steps.
Who should attend
- Business and technology professionals adopting AI in their work.
- Agile teams, product leaders, and portfolio stakeholders.
- Leaders who need a shared understanding to align investments.
Focus areas
Mindsets, principles, practical patterns, and how AI changes how work gets done.
Delivery options
Private enterprise cohorts, public sessions (where available), and tailored workshops.
Next step
Graduate to AI-Native Change Agent to lead adoption and sustain change.
AI-Native Change Agent
Learn how to lead responsible AI adoption through operating model change, stakeholder alignment, and scalable enablement.
What you’ll be able to do
- Identify adoption friction and design interventions that stick.
- Align leaders and teams on governance that enables delivery.
- Create a practical change approach for AI capability building.
- Scale learning—communities of practice, coaching, and enablement.
Who should attend
- Transformation leaders, Agile coaches, SPCs/SPCTs, and change practitioners.
- Product, portfolio, and technology leaders accountable for adoption.
- AI program leaders working across risk, compliance, and delivery.
Focus areas
Adoption strategy, operating model shifts, enablement patterns, governance in practice.
Built for scale
Move from experimentation to repeatable delivery and measurable outcomes.
Enterprise-ready
Designed for complexity—cross-functional stakeholders, portfolios, and large teams.
FAQ
Quick answers for planning your cohort. If you have a unique need, use the contact form below.
Do we need AI tools selected first?
No. These courses focus on principles, practices, and ways of working that remain valuable regardless of tool choices.
Can you tailor examples to our industry?
Yes—private cohorts can include context from your operating model, governance needs, and portfolio challenges.
Which course should we start with?
Most organizations start with AI-Native Foundations to build shared language, then extend to Change Agent for adoption leadership.
Can we run this for leaders only?
Yes. Many clients run an executive or leadership cohort first, then expand to delivery teams and communities of practice.