Tool up: How to use AI as your personal thought-leadership partner
Turn AI into your thought-leadership partner: four key practices to sustain flow, align ideas, and boost strategic clarity....
Brain Circuits
How to scale your AI use cases: A checklistÂ
The business case for AI is realized when the application is scaled, not in the use cases of the pilot phase. Use the checklist below at the outset to ensure the transition from a successful use case to a transformative project.
Â
Checklist
- Strategic objectives
Will the scaled use case contribute significantly to our strategic objectives (e.g., customer experience, operational excellence, employee experience, business model, etc.)?
- Repeatability
Is the use case solving a repeatable business issue (i.e., it’s not a one-off) that merits a long-term AI solution?
- Resources and budget
Do we have the resources and budget to scale (e.g., financial planning, vendor and partner management, etc.)?
- Technical foundation and standards
Do we have a scalable technical foundation? What underlying standards across the use case portfolio should be applied (e.g., common data and technology layer)?
- Data sources
Do we have high-quality and sustainable data sources for the long term (e.g., data governance and quality controls, flexible data partnerships, etc.)?
- Security, compliance, and ethics
Can we manage security, compliance, and ethics at scale (e.g., regulations, data privacy, ethical guardrails, etc.)?
- Organizational readiness
Do we have the skills and organizational readiness to deploy at scale (e.g., cross-functional collaboration, talent, and training plans)?
- Budgetary responsibility and ownership
Will there be clear budgetary responsibility and a business owner who will be accountable for embedding the AI solution into the business process landscape?
Â
Key learning
By treating scalability early as a core objective rather than an afterthought, AI use cases can transition from exploration to production and pave the way for AI deployment that will deliver meaningful business value over the long run.
Authors
Related
Inclusive or just inoffensive? When AI turns culture into uniformity
AI can make existing organizational norms harder to see by “flattening” them. Here’s how to stop it producing a more homogenous culture, instead of a more inclusive one....
How CXOs can lead transformation in the AI era
The role of the Chief Experience Officer (CXO) is undergoing a profound transformation in the age of AI. Here are the tools and strategies to lead this transformation effectively....
Stop developing an obsolete AI strategy part 2: Enterprise risk
Following on from our Brain Circuit on the risks that can arise from your own implementation of AI, here’s how to defend against external disruption. ...
Learn Brain Circuits
Join us for daily exercises focusing on issues from team building to developing an actionable sustainability plan to personal development. Go on - they only take five minutes.
Â
Explore Leadership
What makes a great leader? Do you need charisma? How do you inspire your team? Our experts offer actionable insights through first-person narratives, behind-the-scenes interviews and The Help Desk.
Â
Join Membership
Log in here to join in the conversation with the I by IMD community. Your subscription grants you access to the quarterly magazine plus daily articles, videos, podcasts and learning exercises.
Â