Managing teams in the Age of AI
Ankur Agrawal
This audiobook is narrated by a digital voice.
The latest unprecedented advancement of AI is considered a significant evolution of technology. It is perceived that AI can do many tasks faster and better than humans. Hence, the role of a software engineer is rapidly evolving and getting reshaped by AI. In light of this, navigating the rapidly changing landscape of AI is no longer a choice but a professional necessity. This book will help readers understand AI and master the human dynamics required to integrate it effectively into an organization and workforce.
This book looks at the AI adoption lifecycle, beginning with a perspective on the AI world and its specific applications for software development, from productivity tools to domain-specific scenarios. The book then provides a unique, persona-based framework to manage the three key types of team members: the wide-eyed ones, the AI enthusiasts, and the nAI-sayers. Readers will learn to plan and implement a full-scale transformation, complete with establishing success metrics, defining a 30-60-90 day plan, and creating a continuous feedback loop.
By the end of this book, readers will possess a strategic and actionable understanding of how to lead a team to not just adapt to AI but to thrive truly.
WHAT YOU WILL LEARN
● The current AI landscape and ethical implications.
● Applying AI tools for software engineering productivity.
● Establishing success metrics for AI transformation plans.
● Implementing AI-driven process and rhythm modifications.
● Creating feedback loops for continuous AI process refinement.
● Embedding AI strategically into organizational and individual goals.
● Designing a team culture for continuous innovation.
● Framework towards emerging as a transformative leader.
Duration - 5h 59m.
Author - Ankur Agrawal.
Narrator - Digital Voice Madison G.
Published Date - Sunday, 12 January 2025.
Copyright - © 2026 BPB ©.
Location:
United States
Description:
This audiobook is narrated by a digital voice. The latest unprecedented advancement of AI is considered a significant evolution of technology. It is perceived that AI can do many tasks faster and better than humans. Hence, the role of a software engineer is rapidly evolving and getting reshaped by AI. In light of this, navigating the rapidly changing landscape of AI is no longer a choice but a professional necessity. This book will help readers understand AI and master the human dynamics required to integrate it effectively into an organization and workforce. This book looks at the AI adoption lifecycle, beginning with a perspective on the AI world and its specific applications for software development, from productivity tools to domain-specific scenarios. The book then provides a unique, persona-based framework to manage the three key types of team members: the wide-eyed ones, the AI enthusiasts, and the nAI-sayers. Readers will learn to plan and implement a full-scale transformation, complete with establishing success metrics, defining a 30-60-90 day plan, and creating a continuous feedback loop. By the end of this book, readers will possess a strategic and actionable understanding of how to lead a team to not just adapt to AI but to thrive truly. WHAT YOU WILL LEARN ● The current AI landscape and ethical implications. ● Applying AI tools for software engineering productivity. ● Establishing success metrics for AI transformation plans. ● Implementing AI-driven process and rhythm modifications. ● Creating feedback loops for continuous AI process refinement. ● Embedding AI strategically into organizational and individual goals. ● Designing a team culture for continuous innovation. ● Framework towards emerging as a transformative leader. Duration - 5h 59m. Author - Ankur Agrawal. Narrator - Digital Voice Madison G. Published Date - Sunday, 12 January 2025. Copyright - © 2026 BPB ©.
Language:
English
Title Page
Duration:00:00:16
Copyright Page
Duration:00:01:21
Dedication Page
Duration:00:00:08
About the Author
Duration:00:01:05
About the Reviewers
Duration:00:04:07
Acknowledgement
Duration:00:01:33
Preface
Duration:00:10:45
Table of Contents
Duration:00:13:07
1. Foundations of the AI Landscape
Duration:00:00:04
Introduction
Duration:00:00:30
Structure
Duration:00:00:29
Objectives
Duration:00:00:29
World view of AI
Duration:00:02:58
AI as the new buzzword
Duration:00:01:26
Closer look at the current scenario
Duration:00:02:25
Other side of the story
Duration:00:03:06
World of managers
Duration:00:03:46
Upcoming effects of AI on the horizon
Duration:00:00:20
AI as an assisting hand
Duration:00:00:35
Sample case 1: Money management
Duration:00:02:33
Sample case 2: Healthy conversations
Duration:00:03:55
AI as a reviewer
Duration:00:03:07
AI in the driver's seat
Duration:00:03:04
Ethical considerations of AI
Duration:00:00:30
Temptation to cross that imaginary line
Duration:00:01:08
Difficulty in spotting AI-generated content
Duration:00:00:58
Bending the rules
Duration:00:00:52
Responsible AI
Duration:00:01:02
Plagiarism
Duration:00:01:27
Conclusion
Duration:00:01:30
2. Applications of AI in Your Domain
Duration:00:00:05
AI tools for team productivity
Duration:00:00:15
Business reality
Duration:00:01:50
AI in the context of coding
Duration:00:00:24
Various possible coding scenarios
Duration:00:01:19
Magic of AI as a time saver
Duration:00:02:03
AI in the context of quality assurance
Duration:00:00:14
Generating new tests at the click of a button
Duration:00:00:52
Quality over quantity by optimizing testing
Duration:00:01:46
AI in the context of software architecture and design
Duration:00:00:32
Requirements for a large code base
Duration:00:01:07
Magic of AI to the fore
Duration:00:00:36
AI for repetitive work
Duration:00:00:20
Automation as a tried and tested practice
Duration:00:01:01
Case study for why AI fits support like a glove
Duration:00:01:35
Taking a step further with AI
Duration:00:01:30
Domain-specific AI tools
Duration:00:00:40
AI as a helping hand
Duration:00:00:41
Helping hand example 1
Duration:00:02:06
Helping hand example 2
Duration:00:01:15
AI as the reviewer
Duration:00:00:38
Reviewer example 1
Duration:00:01:33
Reviewer example 2
Duration:00:01:06
Driver's seat example 1
Duration:00:01:50
Driver's seat example 2
Duration:00:00:44
Exploring further possible applications of AI
Duration:00:00:36
Necessity as the mother of invention in the AI space
Duration:00:00:15
Learning the necessity
Duration:00:00:40
Innovating on others' necessities
Duration:00:00:43
Decoupling the person from the role
Duration:00:01:22
Conventions are inventions in the space of AI
Duration:00:00:22
Going back to being a learner
Duration:00:00:40
Idea generation and hackathon sessions
Duration:00:00:33
Keeping up with the happenings in the AI space
Duration:00:00:12
Your role may be getting in your way
Duration:00:01:14
What you can do
Duration:00:00:36
3. Type A, the Wide-eyed Ones
Duration:00:00:04
Identifying and defining this persona
Duration:00:00:25
At the extreme ends of the spectrum
Duration:00:00:51
Skeptic about authority
Duration:00:00:18
Untouched by the real AI
Duration:00:00:23
Safety in conformance
Duration:00:00:23
Group mentality
Duration:00:00:59
Learning more by having a dialogue with them
Duration:00:00:33
Learning 'what' they know
Duration:00:02:06
Learning the 'why' underneath
Duration:00:00:55
Learning the 'how' as well
Duration:00:00:51
Managing their expectations
Duration:00:00:24
Channeling their curiosity
Duration:00:01:03
Leveraging the 'how' we learnt earlier
Duration:00:00:48
Balancing the extreme ends
Duration:00:01:41
Help control the sway
Duration:00:00:41
Educating them on tools and use cases of AI
Duration:00:00:14
Becoming the matchmaker
Duration:00:01:20
Driving them towards learning
Duration:00:01:10
Redirect them to more trustworthy channels
Duration:00:01:25
Putting those diverse heads together
Duration:00:00:28
Debate it out
Duration:00:00:54
Write it down
Duration:00:00:59
Fieldwork
Duration:00:01:15
4. Type B, the AI Enthusiasts
Duration:00:00:04
Person with opinions
Duration:00:01:47
Expert on most things AI
Duration:00:01:22
True believers in AI
Duration:00:00:53
Looking for problems to fit the AI solution
Duration:00:01:46
Grounding their expectations
Duration:00:00:43
Having a dialogue about goals and metrics
Duration:00:01:39
Making it real and getting them to learn themselves
Duration:00:01:25
Raising awareness of the problems at hand
Duration:00:02:14
Fixing the syndrome
Duration:00:00:31
Shiny object tendency and the problem therein
Duration:00:01:21
Drawbacks of the solution first approach
Duration:00:01:43
Channeling this into something constructive
Duration:00:02:12
Morphing to be ambassadors of the AI revolution
Duration:00:00:45
Referencing the competitive landscape
Duration:00:01:28
From the sidelines to the frontline
Duration:00:01:58
Popular and pleasant voice
Duration:00:01:58
5. Type C, the nAI-sayers
Duration:00:00:04
Status quo first
Duration:00:01:18
Why fix it if it is not broken
Duration:00:00:57
Non-believer in AI or technology
Duration:00:02:24
Getting to the bottom of their skepticism
Duration:00:00:36
Having a dialogue to learn more
Duration:00:00:53
Connecting and empathizing
Duration:00:00:57
Discussing efficiency, productivity and a better way
Duration:00:00:17
Case 1: In case problems are the centerpiece
Duration:00:00:48
Case 2: In case of AI being the solution is the centerpiece
Duration:00:01:10
Making them aware of the world's reality
Duration:00:01:05
Ground under us is moving
Duration:00:01:01
Skillset landscape is evolving rapidly
Duration:00:00:25
Enriching with information to bridge the gap
Duration:00:00:44
Tools and technologies
Duration:00:01:10
Competitive landscape
Duration:00:00:52
Memos and roadmaps
Duration:00:00:16
Learning and internalizing the organization's vision
Duration:00:01:06
Distilling the larger vision to team-specific level
Duration:00:00:35
Using roadmaps to pave the road forward
Duration:00:00:34
Handling the possible lack of structured vision
Duration:00:00:41
Training and workshops
Duration:00:01:21
Connecting them with the other two personas
Duration:00:00:46
Type As
Duration:00:00:25
Purpose and goals
Duration:00:01:03
Few possible narratives
Duration:00:02:00
Type Bs
Duration:00:00:08
Co-hacking and seminars
Duration:00:00:53
6. Plan the Transformation
Duration:00:00:04
Taking a stock of things compiled so far
Duration:00:01:15
Preparing narratives for leadership and team
Duration:00:00:44
Key terms
Duration:00:03:09
Deciding the tone and crux of your story
Duration:00:00:23
Centered around business objectives
Duration:00:01:47
Centered around productivity, efficiency and a better way
Duration:00:01:54
Centered around survival
Duration:00:01:50
AI everywhere
Duration:00:02:06
Deciding the narrative for leadership
Duration:00:01:37
Deciding the narrative for your team
Duration:00:01:21
Establishing success criteria and metrics
Duration:00:01:55
Case 1: Business objectives-based goals and mission
Duration:00:00:24
Case 2: Productivity and efficiency-based goals and mission
Duration:00:00:54
Deciding changes for 30-60-90-days
Duration:00:01:20
First 30-days
Duration:00:03:05
Next 30-days
Duration:00:02:12
Last 30-days
Duration:00:02:48
7. Execute the Transformation
Duration:00:00:04
Tips for moving from planning to execution
Duration:00:00:32
Pitching the story to leadership
Duration:00:01:12
Pitching the story to the team
Duration:00:01:51
Estimation of each task before starting the first 30-days
Duration:00:00:52
Increasing confidence by incorporating a buffer
Duration:00:01:01
Sequencing of tasks
Duration:00:00:37
Assignment of tasks to the right team members
Duration:00:01:41
Adjusting the estimates once more before starting
Duration:00:01:00
Re-evaluating the trajectory for the next 30-days
Duration:00:01:16
Revisiting the assignments for the second phase
Duration:00:00:47
Thinking about the last 30-days
Duration:00:01:03
Reviewing and questioning the 'how' and 'what'
Duration:00:00:37
Defining intermittent milestones
Duration:00:00:41
Keeping the progression of 'what' in view
Duration:00:00:40
Keeping the 'how' going right
Duration:00:01:04
Being A(I)-gile
Duration:00:01:32
Reviews with leadership
Duration:00:02:56
How of the 'how'
Duration:00:01:14
Early customer feedback
Duration:00:03:31
Ongoing retrospectives to fine-tune the approach
Duration:00:00:53
On-the-spot retrospectives
Duration:00:01:45
Recurring retrospectives
Duration:00:02:11
Retrospective for planning
Duration:00:01:11
8. Feedback Loop
Duration:00:00:03
Setting up listening and feedback channels
Duration:00:00:56
Customers
Duration:00:02:29
Leadership
Duration:00:01:39
Team
Duration:00:01:45
Compete
Duration:00:01:26
Keeping room for dialogue and changes
Duration:00:00:32
Making use of the incoming feedback
Duration:00:00:38
Feedback from customers
Duration:00:02:13
Feedback from leadership
Duration:00:01:02
Feedback from the team
Duration:00:01:20
Feedback from compete analysis
Duration:00:02:25
Evolution of goals and success measures
Duration:00:01:04
Agility in planning
Duration:00:03:48
Agility in execution
Duration:00:03:48
Keeping an ear to the ground on advancements in AI
Duration:00:00:39
Letting 'B' loose
Duration:00:01:34
Prototyping stream
Duration:00:01:43
Leveraging AI leaders in and outside the company
Duration:00:02:00
9. Beyond the Tactical
Duration:00:00:04
Communication and collaboration in AI-enhanced teams
Duration:00:00:20
Importance of communication and collaboration
Duration:00:01:38
Within the team
Duration:00:00:08