Buch, Englisch, 256 Seiten, Format (B × H): 148 mm x 226 mm, Gewicht: 249 g
Cut Hours, Automate Busywork, and Focus on What Actually Matters
Buch, Englisch, 256 Seiten, Format (B × H): 148 mm x 226 mm, Gewicht: 249 g
ISBN: 978-1-394-37821-0
Verlag: Wiley
Use generative AI to reduce your workweek from 40 hours to 15
The AI Workweek: How to Cut Hours, Automate the Busywork, and Focus on What's Really Important delivers a practical playbook for implementing generative AI tools like ChatGPT to eliminate repetitive tasks and reclaim productive time. Ashley Gross, an AI consultant who has led workshops for multiple global corporations and industry leaders, provides step-by-step strategies she used to cut her own workweek from 40 hours to 15.
The book translates enterprise-level AI implementation tactics into actionable guidance for individual professionals and business leaders. Drawing from years of experience leading enterprise-level consulting engagements, Gross shows how to identify automation opportunities, build effective AI workflows, and measure time savings. Each technique addresses specific workplace scenarios where AI can replace manual processes without sacrificing quality or requiring technical expertise.
You'll also discover:
- Specific prompting strategies and workflow templates for automating email, reporting, scheduling, and administrative tasks that consume hours weekly
- Methods for identifying which tasks in your role are candidates for AI automation and which require human judgment
- Real-world case studies from enterprise implementations showing measurable time and revenue gains from AI adoption
- Techniques for scaling personal AI productivity wins into team-wide and department-level automation strategies
- Frameworks for evaluating AI tools and building sustainable workflows that adapt as generative AI capabilities evolve
Whether you're a C-suite executive evaluating AI adoption strategies, a department head seeking efficiency gains, or an individual contributor looking to reclaim hours from busywork, this book provides tested methods for implementing generative AI in ways that deliver measurable time savings and productivity improvements.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Acknowledgments ix
1 FAQ 1
Why People Are Nervous About Using AI at Work 2
What Risks Should I Actually Be Thinking About? 4
What Should I Be Automating? 6
How Do I Prevent AI From Consuming My Life? 8
2 Assess Your Current Workflow 11
The True Cost 11
Identifying Inefficiencies in Your Workday 17
What Tasks Waste the Most Time at Work 20
Mapping Your Weekly Workflow 24
Which Work Activities Should Never Be Automated 30
3 Identifying Automation Opportunities 35
Repetitive Tasks AI Can Automate at Work 36
Async Team Updates Without Rewriting Your Own Brain 37
Treating Meetings as Inputs Instead of Obligations 39
First Drafts Without Starting From Scratch 40
Turning Existing Work Into Decks You Can Refine 42
Deciding What Should Be Automated First 44
AI Automation for Knowledge Workers 54
Instant Project and Decision History 59
Faster Onboarding for New Hires 61
Client Account Briefing in One Question 62
4 Multiplication Effect 67
Becoming a Multiplier 71
Three-Phase Reduction 78
Perfectionist's Paradox 94
Build It Ugly, Fix It Later 103
5 Maximize Efficiency Gains 107
Productivity at a New Baseline 111
The Tech Stack Marriage Audit 113
The Marketing Tech Stack 116
The Sales Tech Stack 116
The Customer Experience Tech Stack 120
Three Decisions That Close the Gap 128
6 AI ROI 135
Experiment: AI Lead Scoring and Routing 138
Experiment: AI-Assisted Deal Prioritization and Follow-up 141
Experiment: AI-Driven Upsell Triggers from Product Usage 143
Experiment: Cross-Departmental Signal Routing 146
From Proof Points to a Portfolio 146
Decision Rules 150
7 Building a Sustainable System 155
Dealing With AI Fatigue 155
Creating a Culture of Measured Acceleration 158
Clarity Over Tool Sprawl 159
Replacing Effort as Currency 170
Spending Time on What Actually Matters 174
Attach Your Work to Revenue, Not Activity 178
Avoid Becoming the AI Operator 180
8 Spending Time on What Actually Matters 187
AI Parenting Paradox 188
Why Parents Are Getting Left Behind 189
The Lesson They're Already Learning 194
The Signal They're Actually Reading 195
The Difference Between Using a Tool and Modeling One 196
What AI Literacy Actually Looks Like at Home 197
Everyone Starts as a Beginner 200
9 AI Solutions for Employees 201
What Beginners Actually Need 202
Use Cases: 10 Ways to Put Projects and Notebooks to Work 207
Agentic Solutions for Junior and Senior Employees 215
10 Compounding Wins 227
Why Compounding Is the Real Goal 228
The Manager Who Shares Their Wins 229
The Parent Who Makes It a Family Norm 231
The Four-Step Compounding Plan 232
About the Author 237
Index 239
