Leadership event · Wednesday 2 September · 60 minutes · Interactive
The AI-Ready Leader
Benchmark your readiness. Lead the AI-augmented team.
Two sittings, run live across global time zones. Choose the one that suits you.
Register nowWhy this matters
AI is changing how work gets done, but the tools aren't what decide whether it works. Managers are. What your team tries, what becomes normal practice, and where human judgement still needs to lead: that comes down to you.
This fast-paced session gives leaders a practical framework for driving safe, effective AI adoption, and for building the team capability it demands, as work becomes increasingly shared between people, process and AI.
Every participant also receives complimentary access to AURA, Alpha Development's AI-readiness diagnostic, including a personal result and an anonymised comparison against their peers.
What you'll learn
Why leadership, not tools, decides whether AI adoption works
Passive leadership leaves teams with fragmented, inconsistent and sometimes risky use of AI. Here's what to do instead.
Where to accelerate, where to hold the line
Where GenAI genuinely speeds work up, where human judgement has to stay in charge, and how to balance progress with the right controls.
The 4C Framework: Clarify, Coach, Challenge, Contain
A simple, practical model for shaping how your team behaves, and for building adoption that's disciplined, not accidental.
Leading a team that blends people and AI
What changes in how you design work, develop talent and manage performance — and the capabilities that matter more, not less.
The interactive experience
- Live pulse checks and peer discussion on the adoption challenges you're facing right now
- Realistic scenarios that put your judgement on value, risk and leadership to the test
- A personal action commitment you'll apply within two weeks
Participants leave able to
- Pinpoint one workflow to accelerate and one capability to protect
- Apply a simple filter for what's safe, useful and repeatable in AI-supported work
- Coach their team to question outputs, verify quality and avoid over-reliance
- Set clearer team norms for responsible experimentation and human review
Complimentary for every participant
Get your AURA diagnostic
AI Use, Readiness and Adoption score.
All participants to the webinar will be entitled to a complimentary AURA diagnostic. 30 questions covering the human factors that decide whether AI adoption is safe, confident and valuable.
Your personal result includes
- Your overall AI-readiness score and category
- A breakdown across six capabilities: AI Judgement, Agency, Confidence, Collaboration, Trust and Identity
- A profile across Adoption Behaviour, Human Readiness and Enablement Environment
- An anonymised comparison against your peer cohort
- Your strongest capability, priority development area and a recommended next step
An insight-led participant journey
Engage
Work through real leadership decisions, practical scenarios and the 4C framework in an interactive live session.
Benchmark
Complete AURA after the event and get a personal readiness result, benchmarked anonymously against your peers.
Act
Leave with one workflow to accelerate, one capability to protect, and one team norm to strengthen.
Your speaker
Hector brings over 20 years of experience in the higher and corporate education industry, with a specialism in learning data analytics and blended learning technologies.
Hector brings over 20 years of experience in the higher and corporate education industry with a specialism in learning data analytics and blended learning technologies. He has been credited with the design and development of learning and development initiatives ranging from professional development programs to large scale corporate university projects for several FTSE 100 firms.
Leadership event · Wednesday 2 September · 60 minutes · Interactive
Register to discover where you stand, and what your team needs next
Both sittings cover identical content. Pick the time zone that works for you.
Asia-Pacific & the Middle East
UK, Europe & Americas
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