AI Use Cases for Consulting (100+ Use Cases) (PowerPoint PPTX Slide Deck)

BENEFITS OF THIS POWERPOINT DOCUMENT

1. Provides a comprehensive framework for identifying, prioritizing, and monetizing AI use cases across the entire consulting value chain.
2. Enables consulting teams to design, sell, and deliver AI-enabled engagements with clear business value, measurable ROI, and executive-level credibility.
3. Equips organizations with a scalable, client-ready operating model to embed AI into strategy, operations, governance, and long-term consulting offerings.

CONSULTING TRAINING PPT DESCRIPTION

This product (AI Use Cases for Consulting [100+ Use Cases]) is a 469-slide PPT PowerPoint presentation slide deck (PPTX) with a supplemental Excel document, which you can download immediately upon purchase.

Curated by McKinsey-trained Executives


The Ultimate AI Use Cases in Consulting Toolkit

The 400+ Slide PowerPoint That Turns AI From Buzzword Into Billable Impact

If you're in consulting and AI is already in your conversations but not yet fully in your revenue, this toolkit closes that gap – fast.

This is not another fluffy "AI overview."
This is a battle-tested, end-to-end consulting weapon: a 400+ slide, client-ready PowerPoint deck built to help consulting firms sell, design, deliver, and scale AI-enabled engagements across every major function and industry.

Whether you're a strategy consultant, digital transformation lead, partner, principal, internal innovation team, or boutique advisory, this toolkit gives you something most firms desperately lack:

👉 A structured, repeatable, monetizable way to use AI in real consulting work.


Why This Toolkit Exists (And Why Your Competitors Will Wish They Had It)

AI is rewriting consulting economics:

•  Faster diagnostics
•  Deeper insights
•  Productized offerings
•  Fewer junior hours, more margin
•  Higher client expectations

Most firms *talk* about AI.
Very few can systematically apply it across the full consulting lifecycle – from strategy to execution, from pilots to scale, from boardroom to operating model.

This toolkit was built to solve exactly that.

It translates AI into:
•  Concrete consulting use cases
•  Client-ready narratives
•  Engagement blueprints
•  Operating model decisions
•  Governance, risk, and ethics frameworks
•  Future-proof consulting business models

All in one cohesive, professionally designed PowerPoint.


What You Actually Get (Beyond "Slides")
This is not a deck you skim once.

This is a reusable consulting asset you can:
•  Plug directly into client pitches and proposals
•  Use to educate executives and boards
•  Adapt for internal capability building
•  Turn into productized offerings
•  Reuse across industries, functions, and regions
•  Standardize your firm's AI methodology and IP

It gives you language, structure, logic, and credibility – instantly.

No more reinventing slides.
No more vague AI discussions.
No more scrambling to explain value.


Built for Real Consulting, Not Theory

Every section is designed around how consulting firms actually work:
•  How value is created
•  How engagements are sold
•  How delivery models operate
•  How risks are managed
•  How change sticks
•  How impact is measured
•  How clients govern AI long-term

It connects strategy, data, technology, people, risk, and execution into one coherent story – the story clients are asking for but rarely get.


Industry-Ready. Board-Ready. Client-Ready.

The toolkit spans all major consulting domains and industries, enabling you to speak credibly about AI whether you're advising:
•  Financial institutions
•  Healthcare systems
•  Manufacturers
•  Retailers
•  Energy and infrastructure players
•  Public sector and non-profits

And it does so without hype – focusing on practical outcomes, measurable ROI, and responsible deployment.


Designed to Increase Revenue and Margin
This toolkit helps you:
•  Win more AI-related work
•  Upsell existing clients
•  Shorten sales cycles
•  Increase perceived expertise
•  Reduce custom slide creation time
•  Build defensible intellectual property
•  Move toward productized and outcome-based consulting
In short: charge more, deliver smarter, scale faster.



Future-Proof Your Consulting Practice
AI isn't a trend – it's a structural shift in how consulting is done.

This deck doesn't just cover today's applications.
It prepares your firm for:
•  Generative AI and autonomous systems
•  New consulting business models
•  Human–AI collaboration
•  Regulatory and ethical scrutiny
•  The next decade of disruption
If you're serious about staying relevant as a consultant, this toolkit becomes part of your core operating system.


Who This Is For
This toolkit is built for:
•  Strategy and management consulting firms
•  Digital, data, and AI consultancies
•  Big 4, MBB, and Tier-2 consultants
•  Boutique advisory firms
•  Internal consulting and transformation teams
•  Partners, principals, and practice leaders

If AI touches your clients – this deck touches your revenue.


CONTENT OVERVIEW
Part I – Foundations of AI in Consulting
Chapter 1: Understanding Artificial Intelligence
1.1 Core Definitions and AI Fundamentals
1.2 Key AI Technologies Relevant to Consulting
Chapter 2: The Consulting Value Chain
2.1 Traditional Consulting Models and Engagement Types
2.2 Value Creation Levers in Consulting
2.3 Mapping AI Across the Consulting Lifecycle
Chapter 3: Data as the Backbone of AI
3.1 Data Types Used in Consulting Engagements
3.2 Data Quality, Governance, and Management
3.3 Privacy, Security, and Regulatory Constraints
Chapter 4: AI Operating Models for Consulting Firms
4.1 Centralized vs. Embedded AI Capabilities
4.2 Build, Buy, or Partner Decisions
4.3 Talent, Skills, and Organizational Readiness
Chapter 5: Ethics, Risk, and Responsible AI
5.1 Ethical Principles and Trust in AI Systems
5.2 Model Risk Management and Governance
5.3 Bias, Transparency, and Explainability

Part II – AI Use Cases Across Consulting Functions
Chapter 6: Strategy Consulting
6.1 Market, Customer, and Competitive Intelligence
6.2 Scenario Planning and Strategic Foresight
6.3 Portfolio Strategy and M&A Analytics
Chapter 7: Operations and Process Consulting
7.1 Process Mining and Operational Diagnostics
7.2 Forecasting and Supply Chain Optimization
7.3 Intelligent Automation and Workflow Orchestration
Chapter 8: Financial and Performance Consulting
8.1 Financial Forecasting and Planning Analytics
8.2 Cost Reduction and Profitability Optimization
8.3 Risk Modeling and Stress Testing
Chapter 9: Human Capital and Change Consulting
9.1 Workforce Analytics and Skills Intelligence
9.2 Talent Acquisition and Retention Optimization
9.3 Change Impact Measurement and Adoption Tracking
Chapter 10: Technology and Digital Consulting
10.1 IT Landscape Assessment and Application Rationalization
10.2 Software Modernization and Code Intelligence
10.3 Cybersecurity, IT Risk, and Threat Analytics

Part III – Industry-Specific AI Use Cases
Chapter 11: Financial Services
11.1 Credit Risk, Fraud Detection, and AML
11.2 Customer Analytics and Personalization
11.3 Regulatory Compliance and Reporting Automation
Chapter 12: Healthcare and Life Sciences
12.1 Clinical, Operational, and Capacity Analytics
12.2 Patient Journey and Outcome Optimization
12.3 R&D, Drug Discovery, and Innovation Acceleration
Chapter 13: Manufacturing and Industrial Goods
13.1 Predictive Maintenance and Asset Performance
13.2 Production Planning and Quality Analytics
13.3 Industrial IoT, Digital Twins, and Simulation
Chapter 14: Retail and Consumer Goods
14.1 Demand Forecasting and Dynamic Pricing
14.2 Inventory, Merchandising, and Assortment Optimization
14.3 Omnichannel and Customer Experience Analytics
Chapter 15: Public Sector and Non-Profit
15.1 Policy Design and Impact Simulation
15.2 Public Service Delivery Optimization
15.3 Fraud, Waste, and Abuse Detection

Part IV – Delivering AI-Enabled Consulting Engagements
Chapter 16: Use Case Identification and Prioritization
16.1 Identifying High-Value AI Opportunities
16.2 Feasibility, Data, and Readiness Assessment
16.3 Business Case and Value Hypothesis Development
Chapter 17: AI Solution Design
17.1 Translating Business Problems into AI Solutions
17.2 Model Selection and Technical Architecture
17.3 Integration with Client Systems and Processes
Chapter 18: Implementation and Change Management
18.1 Pilots, Scaling, and Industrialization
18.2 Stakeholder Alignment and Communication
18.3 Training, Enablement, and Capability Transfer
Chapter 19: Measuring Impact and Value
19.1 Defining KPIs and Success Metrics
19.2 ROI Tracking and Benefits Realization
19.3 Continuous Improvement and Model Lifecycle Management
Chapter 20: Client Collaboration and Governance
20.1 Client AI Operating Models
20.2 Decision Rights and Governance Structures
20.3 Long-Term Partnership and Managed Services

Part V – The Future of AI in Consulting
Chapter 21: Emerging AI Technologies
21.1 Generative AI and Large Language Models
21.2 Autonomous Agents and Decision Systems
21.3 Multimodal and Real-Time AI
Chapter 22: New Consulting Business Models
22.1 Productized and Platform-Based Consulting
22.2 Outcome-Based and Risk-Sharing Engagements
22.3 Ecosystem-Driven and Partner-Led Models
Chapter 23: The AI-Augmented Consultant
23.1 Redefining Consultant Roles and Career Paths
23.2 Human–AI Collaboration Models
23.3 Productivity, Knowledge, and IP Management
Chapter 24: Regulation, Society, and Trust
24.1 Global AI Regulations and Standards
24.2 Societal Impact and Public Trust
24.3 Sustainability and Responsible Innovation
Chapter 25: Strategic Preparedness for the Next Decade
25.1 Building Durable AI Capabilities
25.2 Scenario Planning for AI-Driven Disruption
25.3 Long-Term Strategic Roadmaps for Consulting Firms


AI for Consulting Use Cases
Cluster 1: Strategy & Corporate Development
1. Market Size and Growth Estimation
2. Competitive Intelligence Automation
3. Strategic Option Generation
4. Scenario Modeling and Sensitivity Analysis
5. Corporate Portfolio Optimization
6. M&A Target Screening
7. Synergy Estimation and Deal Value Modeling
8. Strategic Risk Identification
9. Long-Term Business Model Simulation
10. Strategy Execution Tracking

Cluster 2: Operations & Process Excellence
11. End-to-End Process Mining
12. Operational Bottleneck Detection
13. Demand Forecasting
14. Supply Chain Network Optimization
15. Inventory Optimization
16. Production Scheduling Optimization
17. Predictive Maintenance
18. Intelligent Workforce Scheduling
19. Operational Cost Driver Analysis
20. Process Automation Opportunity Identification

Cluster 3: Financial Performance & Value Management
21. Financial Forecasting and Budgeting
22. Cash Flow Prediction
23. Cost Reduction Opportunity Analytics
24. Profitability and Margin Optimization
25. Pricing Optimization
26. Capital Allocation Optimization
27. Financial Scenario Stress Testing
28. Working Capital Optimization
29. Investment Portfolio Risk Modeling
30. Value-Based Performance Management

Cluster 4: Risk, Compliance & Governance
31. Enterprise Risk Identification
32. Fraud Detection and Prevention
33. Credit Risk Scoring
34. Regulatory Compliance Monitoring
35. Anti-Money Laundering Analytics
36. Model Risk Management
37. Third-Party Risk Assessment
38. Internal Control Effectiveness Testing
39. Audit Planning and Prioritization
40. Governance and Policy Adherence Monitoring

Cluster 5: Human Capital & Organization
41. Workforce Demand Forecasting
42. Skills Gap and Capability Mapping
43. Talent Acquisition Optimization
44. Employee Attrition Prediction
45. Performance and Potential Assessment
46. Compensation and Incentive Optimization
47. Organizational Network Analysis
48. Change Readiness Assessment
49. Learning and Upskilling Personalization
50. Leadership Effectiveness Analytics

Cluster 6: Sales, Marketing & Customer
51. Customer Segmentation and Profiling
52. Customer Lifetime Value Prediction
53. Churn Prediction
54. Personalization and Recommendation Engines
55. Pricing and Promotion Optimization
56. Sales Forecasting
57. Lead Scoring and Opportunity Prioritization
58. Voice of Customer Analytics
59. Omnichannel Journey Optimization
60. Brand and Sentiment Analysis

Cluster 7: Technology & Digital Transformation
61. IT Application Rationalization
62. Legacy System Modernization Prioritization
63. Cloud Migration Planning
64. Software Code Quality and Risk Analysis
65. IT Cost Optimization
66. Technology Portfolio Optimization
67. DevOps and Release Optimization
68. IT Incident and Root Cause Analysis
69. Data Architecture Optimization
70. Digital Transformation Roadmap Design

Cluster 8: Knowledge, Productivity & Consulting Delivery
71. AI-Powered Research and Benchmarking
72. Proposal and RFP Response Generation
73. Slide and Report Drafting Automation
74. Knowledge Asset Search and Retrieval
75. Engagement Staffing Optimization
76. Project Risk and Delivery Forecasting
77. Methodology Codification into AI Tools
78. Consultant Productivity Analytics
79. Reusable Asset and IP Identification
80. Client Insight Synthesis Automation

Cluster 9: Industry-Specific Consulting
81. Banking Credit and Lending Analytics
82. Insurance Claims Fraud Detection
83. Healthcare Capacity and Demand Planning
84. Patient Outcome Prediction
85. Manufacturing Quality Defect Detection
86. Energy Demand and Grid Optimization
87. Retail Demand and Assortment Planning
88. Public Policy Impact Simulation
89. Transportation Network Optimization
90. Telecom Churn and Network Optimization

Cluster 10: Innovation, Foresight & Future Readiness
91. Technology Trend Scanning
92. Innovation Portfolio Prioritization
93. R&D Productivity Analytics
94. New Product Concept Testing
95. Startup and Ecosystem Scouting
96. Strategic Foresight and Future Scenarios
97. Generative Ideation and Concept Development
98. Autonomous Decision Support Systems
99. AI Ethics and Trust Readiness Assessment
100. AI Strategy and Capability Maturity Assessment


Bottom Line

You can:
•  Spend months building fragmented AI materials
•  Rely on generic AI slides that don't sell
•  Or keep reacting to client questions

Or you can deploy a single, comprehensive, premium-grade toolkit that positions you as an AI-enabled consulting leader from day one.

This is not "nice to have."
This is consulting IP.

And it's ready to use.


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Source: Best Practices in Consulting Training, Artificial Intelligence PowerPoint Slides: AI Use Cases for Consulting (100+ Use Cases) PowerPoint (PPTX) Presentation Slide Deck, SB Consulting