/ Stage 3 : AI For Your Work
Stage 3 of 7
You can use AI. But are you using it for the things that matter? This stage connects AI capabilities to real business value --- in your role, your function, and your industry.
Not every task is a good AI use case. The best opportunities share common characteristics: they're repetitive, language-heavy, have clear inputs and outputs, and tolerance for imperfection. Learning to spot these patterns is a meta-skill that compounds over time.
The gold standard with over 500 documented AI use cases from Marketing, Sales, to Supply Chain and IT across industries. Organized by business areas, AI technologies, and key outcomes.
2,133 documented AI use cases from 41 federal agencies. The most transparent, comprehensive use case database available. Download the CSV and explore.
Real implementations from named companies across industries. Good for inspiration and understanding what's actually deployed.
European nonprofit's curated repository of high-quality use cases with implementation guides. Neutral, research-backed.
100+ AI capabilities across 15 industry-specific areas. Vendor-created but content is broadly applicable.
Done weekly, daily, or more frequently
Reading, writing, summarizing
Clear inputs and expected outputs
Imperfection acceptable with human review
Takes significant time currently
Different roles have different AI sweet spots. A marketer's best use cases look nothing like an engineer's. Find your function below and explore what's working for people in similar roles.
Boston Consulting Group's strategic guide on AI marketing applications. Covers personalization, content, segmentation.
Practical guide with 10+ marketing AI use cases including chatbots, content creation, analytics.
Authoritative analysis: 95% of seller research will begin with AI by 2027. Covers automation, forecasting.
Implementation guide for pipeline forecasting, lead scoring, and ROI measurement.
AI for operations: reducing downtime, optimizing maintenance, improving efficiency.
Fraud detection, risk management, portfolio optimization, compliance.
43% of organizations now use AI in HR (up from 26% in 2024). Covers recruiting, compliance, analytics.
Resume screening, job descriptions, payroll, benefits administration.
76% of CX leaders are considering GenAI. Intelligent routing, knowledge management, automation.
Chatbots, AI agents, sentiment analysis, predictive support.
AI for roadmap prioritization, user research, competitive intelligence.
Document review, contract analysis, legal research, litigation support.
American Bar Association guide on AI for lawyers with ethical considerations.
AI enthusiasm without ROI measurement is just expensive experimentation. Whether you're advocating for AI investment or being asked to justify it, you need frameworks for quantifying value.
Practical framework addressing "vibe-based spending" with structured KPIs: cost savings, revenue increase, productivity, satisfaction, error reduction.
Comprehensive framework including baseline establishment, cost components, benefit metrics. Notes average value realization in 14 months.
Microsoft's approach covering cost components, leading vs. hard metrics.
Big 4 accounting firm's guide to AI business cases and executive presentations.
Why 72% of enterprise AI destroys value through waste. Essential diagnostic for avoiding common pitfalls.
Theory is one thing; proven results are another. These case studies show what actual organizations achieved --- with numbers.
Curated collection with quantified outcomes across healthcare, finance, manufacturing, retail.
Comprehensive collection organized by industry with before/after metrics.
Financial services specific: 300x faster fraud detection, 25% improved detection, 50% fewer false positives.
Healthcare: 25% R&D cycle time reduction, $25M-$150M revenue impact in biopharma.
Manufacturing: Siemens, Toyota, Rockwell Automation with downtime reduction metrics.
Where is your industry on the AI adoption curve? These reports provide benchmarks, trends, and competitive context.
88% regular AI use across enterprises. Function-specific ROI data. The most authoritative enterprise adoption report.
78% increasing AI spending, 74% meeting/exceeding ROI expectations.
58% of finance functions using AI (up from 37% in 2023). 20% productivity gains.
22% domain-specific AI adoption (7x increase from 2024). Peer-reviewed government research.
77% e-commerce professionals use AI daily. 5-15% revenue growth, 10-30% cost savings.
Move from individual use cases to organizational AI strategy. Build business cases that get funded, measure what matters, and lead change. For business leaders, transformation leads, and operators who want to scale AI beyond pilots.
Leading vs. realized ROI across different time horizons.
Governance and audit perspectives on AI value measurement.
Comparative industry adoption: manufacturing 77%, healthcare 22% domain-specific.
Curated for strategic decision-makers. Quantified outcomes and lessons.
These exercises help you move from understanding use cases in general to identifying the highest-value opportunities in your specific work.
Map your typical week. List recurring tasks and score each 1-5 on: Repetitive, Language-heavy, Structured, Time-consuming. Your top 3 highest-scoring tasks are your best AI opportunities. Test one this week.
Calculate rough ROI for your top use case: Current hours/week, estimated 30% reduction, annualized savings. Example: 5 hrs/week × 30% = 78 hrs/year. At $75/hr = $5,850 annual value per person.
Find 2-3 industry-specific AI reports from the resources above. Note adoption rates, identify leading use cases, and compare to your organization. This becomes your baseline for strategic conversations.
Not all tasks are equal. You know the characteristics that make a task a good AI candidate and can spot them in your own work.
Whether marketing, sales, ops, HR, or support, you've seen what's working for people in similar roles.
ROI frameworks, metrics, and templates mean you can quantify value, not just assert it.
Real companies, real numbers, real outcomes. You can cite examples when advocating for AI.
Adoption benchmarks give you competitive context and urgency.