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AI TRANSFORMATION
PLAYBOOK
Arijit Dutta | https://arijitdutta.com/
Constant innovation and technology adoption
are crucial for business success.
AI is a key enabler of these innovations.
There is a gap in understanding how to
employ AI effectively.
This playbook guides successful AI integration
for innovation and growth.
Arijit Dutta | https://arijitdutta.com/ 01
Transformation marks a shift from legacy
business practices.
The status quo is unsustainable and affects
competitive edge.
Reimagine core processes, journeys, or
functions with AI for success.
End-to-end rethinking is crucial for impactful
AI implementation.
Arijit Dutta | https://arijitdutta.com/ 02
Organizations often choose between two AI
application paths.
Discrete use cases offer incremental
efficiencies but lack scalability.
Complete makeovers promise bold returns
but are complex and slow.
Both approaches often fail to drive meaningful
change.
Arijit Dutta | https://arijitdutta.com/ 03
Broad, unmanageable use cases.
Multiple leaders with conflicting goals.
Need for complete data and tech architecture
redesign.
Focus on discrete rather than interconnected
processes.
Non-integrative solutions causing system
disconnects.
Arijit Dutta | https://arijitdutta.com/ 04
Prioritize business areas for AI that are
impactful and manageable.
Aim for improvements in financial
performance, customer, or employee
experiences within 12 months.
Focus on areas with overlapping data and tech
components.
Solve systemic business problems with AI.
Arijit Dutta | https://arijitdutta.com/ 05
AI transformation requires a cross-functional
team.
Collaboration among business, digital,
analytics, and IT functions is essential.
Reassign staff to an "execution" team to avoid
silos and delays.
Empower teams for better engagement and
ownership.
Arijit Dutta | https://arijitdutta.com/ 06
Identify and break down systemic business
problems.
Use first principles thinking to create new
solutions.
Agile sprints for rapid prototyping and user
testing.
Refine systems before widespread
deployment.
Arijit Dutta | https://arijitdutta.com/ 07
AI transformation requires a mindset change.
Prepare and equip the workforce with change-
management practices.
Invest in cloud-based data platforms, APIs,
microservices, and DevOps.
Implement employee incentives and
transparent reporting tools.
Arijit Dutta | https://arijitdutta.com/ 08
Develop a repeatable methodology for AI
innovation.
Establish protocols and a reusability mindset.
Transform multiple business areas in parallel.
Accelerate AI innovation across the
organization.
Arijit Dutta | https://arijitdutta.com/ 09
Companies leveraging AI effectively will
outpace those that don't.
Continuous adaptation and innovation
with AI are essential for long-term
success.
AI transformations should be seen as ongoing
efforts rather than one-time projects.
Arijit Dutta | https://arijitdutta.com/ 10

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AI Transformation Playbook: Thinking AI-First for Your Business

  • 1. AI TRANSFORMATION PLAYBOOK Arijit Dutta | https://arijitdutta.com/
  • 2. Constant innovation and technology adoption are crucial for business success. AI is a key enabler of these innovations. There is a gap in understanding how to employ AI effectively. This playbook guides successful AI integration for innovation and growth. Arijit Dutta | https://arijitdutta.com/ 01
  • 3. Transformation marks a shift from legacy business practices. The status quo is unsustainable and affects competitive edge. Reimagine core processes, journeys, or functions with AI for success. End-to-end rethinking is crucial for impactful AI implementation. Arijit Dutta | https://arijitdutta.com/ 02
  • 4. Organizations often choose between two AI application paths. Discrete use cases offer incremental efficiencies but lack scalability. Complete makeovers promise bold returns but are complex and slow. Both approaches often fail to drive meaningful change. Arijit Dutta | https://arijitdutta.com/ 03
  • 5. Broad, unmanageable use cases. Multiple leaders with conflicting goals. Need for complete data and tech architecture redesign. Focus on discrete rather than interconnected processes. Non-integrative solutions causing system disconnects. Arijit Dutta | https://arijitdutta.com/ 04
  • 6. Prioritize business areas for AI that are impactful and manageable. Aim for improvements in financial performance, customer, or employee experiences within 12 months. Focus on areas with overlapping data and tech components. Solve systemic business problems with AI. Arijit Dutta | https://arijitdutta.com/ 05
  • 7. AI transformation requires a cross-functional team. Collaboration among business, digital, analytics, and IT functions is essential. Reassign staff to an "execution" team to avoid silos and delays. Empower teams for better engagement and ownership. Arijit Dutta | https://arijitdutta.com/ 06
  • 8. Identify and break down systemic business problems. Use first principles thinking to create new solutions. Agile sprints for rapid prototyping and user testing. Refine systems before widespread deployment. Arijit Dutta | https://arijitdutta.com/ 07
  • 9. AI transformation requires a mindset change. Prepare and equip the workforce with change- management practices. Invest in cloud-based data platforms, APIs, microservices, and DevOps. Implement employee incentives and transparent reporting tools. Arijit Dutta | https://arijitdutta.com/ 08
  • 10. Develop a repeatable methodology for AI innovation. Establish protocols and a reusability mindset. Transform multiple business areas in parallel. Accelerate AI innovation across the organization. Arijit Dutta | https://arijitdutta.com/ 09
  • 11. Companies leveraging AI effectively will outpace those that don't. Continuous adaptation and innovation with AI are essential for long-term success. AI transformations should be seen as ongoing efforts rather than one-time projects. Arijit Dutta | https://arijitdutta.com/ 10