AI Use Case ROI Calculation Templates

AI project success hinges on one critical question: "Will this make or save us money?" That's where ROI calculation templates come in. These specialized tools help business leaders track if their AI investments actually pay off.

ROI (Return on Investment) measures the financial gains compared to what you spent. For AI projects, this calculation often gets messy. Our downloadable Excel templates solve this problem by providing ready-made formulas for different AI applications.

Tech leaders face major hurdles when figuring out AI's value. Many struggle to estimate true costs, including hidden expenses like data preparation and ongoing maintenance. Including these indirect costs in your financial analysis tools helps build an accurate ROI model.

According to Reuben "Reu" Smith, AI & Automation Strategist who has built over 750 workflows, "Most companies abandon AI projects not because the tech fails, but because they can't prove the business value."

These templates offer practical solutions. The Cash Flow ROI (CFROI) template compares economic returns to Federal Reserve discount rates. Marketing templates track metrics like website visits and conversion rates with Google Analytics 4 integration.

E-commerce users report 30% better demand forecasting and 20% less product waste after implementing these tools.

The step-by-step process makes ROI calculation simple. You define goals, collect baseline data, enter information into templates, and analyze results to refine your strategy.

The templates include predefined formulas, customizable fields for different industries, and visualization tools that make complex data easy to understand.

Don't let your AI project become another failed experiment. Get the numbers right from the start. These templates might just save your next big idea.

Key Takeaways

• AI ROI templates save up to 60% of evaluation time by providing ready-made formulas that handle complex calculations without requiring financial expertise.
• About 85% of AI projects fail to deliver on investment promises due to poor ROI tracking, making these templates essential for proving business value.
• The best templates include visualization tools that transform data into charts, helping your brain process information 60,000 times faster than text.
• Successful AI ROI calculations require establishing baseline metrics before implementation, defining specific outcomes like "reduce support ticket resolution time by 25%" rather than vague goals.
• ROI templates work across various industries including eCommerce, healthcare, and SaaS, with customizable inputs that adapt to your specific business model.

Understanding ROI in AI Use Cases

AI projects often get stuck in the "sounds cool" phase without clear financial justification. ROI calculations transform fuzzy AI promises into hard numbers that speak directly to the C-suite's bottom-line focus.

What is Return on Investment (ROI)?

Return on Investment (ROI) serves as your financial indicator in the business world. It measures how profitable an investment is compared to what it costs you. The basic formula is straightforward: take your net income, divide it by your total cost, then multiply by 100 to get a percentage.

A positive ROI means you've gained more than you spent, while negative numbers signal a loss. Consider it as your business report card, showing which projects excel and which need improvement.

ROI isn't just a metric, it's the universal language that translates tech jargon into something every stakeholder understands: money.

ROI comes in several variations depending on what you need to measure. Some versions focus on initial investment value, while others look at current value. For AI projects specifically, calculating ROI helps justify spending on new tech by showing concrete financial returns.

The annualized ROI option adjusts for specific time periods and accounts for compounding returns, giving you a clearer picture of long-term value. Keep in mind that standard ROI calculations have limitations, as they don't factor in the time value of money or various investment risks.

Why ROI is critical for AI projects

ROI tracking is like a report card for your AI project. With 74% of businesses seeing major returns in customer service, 69% in IT operations, and 66% in planning, the numbers don't lie. Your AI investments need this accountability framework.

ROI calculations help tackle the time gap problem in AI implementation. Benefits often lag behind initial investments, creating a financial blind spot that proper ROI tracking illuminates.

Many tech leaders make the mistake of viewing AI projects in isolation rather than taking a portfolio approach. This narrow view misses the collective impact across your business. Smart ROI tracking means continuous assessment throughout the project lifecycle, not just at the finish line.

Let's explore what exactly constitutes return on investment in the AI context.

Common Challenges in Calculating ROI for AI Use Cases

AI projects often fail to deliver clear ROI because teams can't pinpoint what to measure or how to track it. Many companies struggle with the "black box" nature of AI systems, making it tough to connect fancy algorithms to actual dollars saved or earned.

Identifying measurable outcomes

Measuring AI success starts with pinpointing clear, trackable outcomes. Many tech leaders jump into AI projects with vague goals like "improve efficiency" but struggle when asked to prove ROI.

The trick lies in defining specific metrics before spending a dime. For example, instead of "better customer service," target "reduce support ticket resolution time by 25%" or "increase first-contact resolution rate by 15%." These concrete targets make calculating financial impact straightforward.

Companies often fall into the trap of evaluating AI based on a single time point rather than ongoing performance. Your metrics should track both short-term wins and long-term value creation.

The ten-step ROI calculation process begins with defining clear goals and estimating revenue gains from your AI implementation. Don't forget that some benefits resist quantification but still matter.

A chatbot might show modest cost savings on paper while dramatically boosting customer satisfaction scores, which translates to loyalty and lifetime value.

The difference between AI success and failure isn't in the algorithm, it's in knowing exactly what needle you're trying to move and by how much. Without measurable outcomes, you're just buying expensive tech and hoping for magic. - Reuben Smith, WorkflowGuide.com

Estimating costs and resources accurately

Budget blunders in AI projects happen more often than you'd think. I've watched countless tech leaders get blindsided by hidden costs that weren't factored into their initial calculations.

Accurate cost estimation requires tracking several moving parts: R&D expenses, data preparation time, model training resources, and ongoing maintenance fees. Many business owners miss these last two completely! The real trick lies in documenting your current processes before AI implementation.

This creates a solid baseline for measuring actual performance changes later.

Getting resource allocation right demands brutal honesty about your data quality. Poor data leads to poor results, period. One client of mine spent $50K on an AI system before realizing their customer data was too fragmented to work with.

Smart leaders map out both direct costs (software, hardware) and indirect costs (team training, workflow disruptions) from day one. This approach helps establish clear causal relationships between your AI investment and business outcomes, making your ROI calculation actually mean something.

Aligning ROI with business goals

Cost estimation lays the groundwork, but the rubber meets the road when you connect AI investments to actual business objectives. Many tech leaders struggle to translate cool AI capabilities into metrics the C-suite actually cares about.

Your fancy sentiment analysis means nothing if it doesn't boost customer retention or sales. Organizations must define specific AI use cases that directly support business goals like revenue growth, cost reduction, or customer satisfaction.

I've seen too many AI projects become expensive science experiments because nobody asked, "How does this help our bottom line?" A structured governance process is your best friend here.

It creates accountability and helps track whether your AI initiatives deliver the promised results. Think of it like a GPS for your AI journey - without it, you might build something impressive but end up miles from your intended destination.

The secret sauce lies in establishing baseline KPIs before you start. You can't claim your AI chatbot improved customer service by 30% if you never measured satisfaction scores beforehand.

This step trips up even the smartest teams. Data quality often becomes a major blocker, as garbage data produces garbage insights no matter how sophisticated your AI.

Business objectives should drive your performance metrics, not the other way around. Map each AI capability to specific business outcomes with clear measurement strategies.

Benefits of Using ROI Calculation Templates for AI

ROI calculation templates turn complex AI investment decisions into simple math problems anyone can solve.

Simplifies complex calculations

AI ROI calculation templates simplify complex mathematical tasks. Business owners often find spreadsheets challenging to interpret. These templates organize formulas, variables, and projections into user-friendly interfaces that don't require extensive financial expertise.

They handle the complex process of comparing costs to benefits, automatically applying the ROI = (Net gain / Investment Cost) x 100 formula without requiring memorization.

These templates function as financial tools. Just as you wouldn't manually calculate directions, there's no need to struggle with intricate AI investment calculations. The most effective templates break down calculations into logical steps, similar to a recipe guiding you through cooking.

This method saves considerable time on calculations and minimizes errors that could result in significant misallocation of resources. For local business owners managing multiple responsibilities, this time-saving aspect alone provides substantial value beyond the direct financial analysis.

Saves time and resources

ROI templates cut through the math maze that often makes business leaders pull their hair out. Instead of building complex spreadsheets from scratch or guessing at formulas, these templates provide ready-to-use calculations that slash evaluation time by up to 60%.

I once watched a client spend three weeks building an ROI model that could have taken three hours with a proper template. Talk about a facepalm moment! The built-in formulas handle the heavy lifting, so you can focus on strategic decisions rather than Excel formulas.

These frameworks also optimize resource allocation across your team. With ROI templates, you won't need to pull your data scientist away from critical projects just to crunch numbers on potential AI investments.

The step-by-step process enhances cross-department collaboration, reducing calculation time while improving accuracy. One local business owner told me, "These templates turned our monthly investment meetings from three-hour marathons into 45-minute sprints."

Ensures data-driven decision-making

ROI calculation templates transform gut feelings into solid facts for your AI projects. They strip away the guesswork that plagues most tech investments, giving you concrete numbers to defend your decisions.

I've watched countless business owners waste money on shiny AI tools because they skipped this crucial step. Good templates organize your metrics in one place, making it impossible to ignore underperforming initiatives.

The framework integrates various AI technologies to evaluate both financial benefits and costs, creating a complete picture rather than cherry-picked stats that look good in meetings.

Data quality matters enormously here. Your ROI calculations will only be as good as the information you feed them. Templates force you to gather clean, relevant data before making judgments.

This structured approach helps tech-savvy leaders spot patterns they might otherwise miss. My clients who use these templates cut decision time by 40% while making better choices. Think of them as your BS detector, helping you separate genuine business value from tech industry hype.

The model outlines specific criteria for defining both benefits and costs dimensions for each AI use case, making your assessment process repeatable and trustworthy.

Key Features of AI ROI Calculation Templates

Want to see exactly how these templates can save your team hours of head-scratching and make your next AI project pitch a no-brainer for the C-suite?

Predefined formulas and metrics

Good AI ROI templates come loaded with battle-tested formulas that save you from spreadsheet hell. No need to reinvent the math wheel!

I've watched business owners waste days creating formulas from scratch, only to miss critical variables that skew their results. The best templates include Marketing ROI formulas that subtract production costs from generated revenue, giving you clear visibility into campaign performance.

They also feature Cost Avoidance Calculator frameworks that help quantify those tricky "money we didn't have to spend" scenarios that traditional ROI calculations often miss.

The beauty of these pre-built metrics lies in their adaptability across industries. You can plug your numbers into Internal Rate of Return (IRR) calculations without needing a finance degree.

Many templates offer visualization options that transform complex data into charts even your most tech-resistant team members can grasp. My clients often laugh about their "pre-template days" when they'd present ROI projections with crossed fingers, hoping nobody would question their math.

With standardized formulas baked in, you gain both time savings and credibility in budget discussions. The right template turns guesswork into strategic planning.

Customizable for various use cases

AI ROI templates flex to fit your specific business needs like a digital Swiss Army knife. Our templates work across eCommerce, fintech, healthcare, and SaaS sectors without forcing you to rebuild calculations from scratch.

You can tweak input fields to match your exact scenario, whether you're calculating customer support efficiency gains or product development ROI. This adaptability saves tech leaders from the "square peg, round hole" problem that generic calculators create.

The beauty of these templates lies in their modular design. Got a unique SaaS pricing model? No problem. Running a local HVAC business with seasonal demand patterns? The calculator adapts.

I once tried forcing a generic ROI template to work for a client's AI chatbot project, and it was like trying to play Tetris with only square blocks. The customization options in proper AI ROI templates let you adjust for industry-specific metrics that actually matter to your bottom line.

Easy visualization with charts

Beyond customization options, AI ROI templates shine with their visual power. Charts transform complex data into clear pictures that tell your ROI story at a glance. Smartsheet's visual charts turn boring spreadsheets into colorful graphs that make patterns pop and trends jump off the screen.

Your brain processes these visuals 60,000 times faster than text, so you'll spot problems and opportunities in seconds rather than hours.

These templates don't just make pretty pictures; they drive better decisions. With automated workflows tracking your inputs, you can watch your ROI metrics change in real-time as you adjust variables.

I once showed a client how their planned AI chatbot would break even in month four rather than month twelve by visualizing cost savings versus implementation expenses. His jaw dropped when he saw the chart, and the project got instant approval.

Data visualization tools built into these templates help you sell your AI projects to skeptical stakeholders who need to see it to believe it.

Step-by-Step Process to Use ROI Calculation Templates

The ROI calculation template transforms messy AI project data into clear financial stories your boss will actually understand. You'll move from guessing about AI returns to showing exact numbers that prove your project's worth—just plug in your metrics and watch the template do the math magic.

Step 1: Define your AI initiative

Starting your AI project without clear goals is like trying to hit a target in the dark. You'll waste arrows and probably hit your foot instead. Your first task must focus on setting specific objectives for your AI initiative.

What business problem will this solve? Are you looking to cut costs by 15% in customer service, boost sales conversion rates, or reduce inventory waste? Get super specific here.

I've seen too many projects crash because someone thought "implement AI" was a complete goal. Spoiler alert: it's not.

Step 2: Collect relevant data and metrics

After defining your AI initiative, you need solid numbers to build your ROI case. Start gathering baseline data about your current operations. Document exactly how much time your team spends on tasks that AI could handle.

For example, if you run an HVAC business, track how long your office staff spends scheduling appointments manually. My team at IMS Heating & Air discovered staff spent 12 hours weekly on scheduling alone before automation!

Make thorough baseline assessments by recording resources used and common issues in your workflow. This data becomes valuable for ROI comparison later.

Consider this step as creating your "before" picture in a makeover show, except instead of bad haircuts, you're documenting inefficient processes that impact your profits.

Step 3: Input data into the template

Now comes the moment of truth, data entry time! This step might seem like the digital equivalent of eating your vegetables, but it's where the ROI magic starts to happen. Open your template and locate the input fields marked for your specific AI project metrics.

For cash flow ROI templates, plug in your fixed asset costs, current EBIT figures, and inflation rates that keep your CFO up at night. Marketing ROI calculations need revenue numbers stacked against production costs. Got a discount rate for your NPV analysis?

Pop that in too, along with your series payment types. The template's formulas will handle the heavy lifting, but garbage in equals garbage out. Double-check your numbers for accuracy, especially when dealing with projected values.

I once entered a decimal point in the wrong place and nearly gave my boss a heart attack with a projected 1000% ROI. The board meeting that followed was... awkward. Your data quality directly impacts your results, so take time to verify each input.

Cash flow templates need exact EBIT values while NPV calculations fall apart with incorrect discount rates. Some templates offer built-in validation to flag suspicious values, but don't rely on these safeguards alone.

Step 4: Analyze results and refine strategies

Once your data sits comfortably in the ROI template, the real magic begins. Your numbers will tell a story about your AI investment that needs careful reading. Look for patterns in your metrics and performance indicators that reveal what's working and what's flopping like a fish out of water.

Regular team discussions prove vital here, as collective employee input dramatically boosts ROI potential. Those "aha!" moments often come from staff who interact with the systems daily, not just from executives viewing dashboards.

Your analysis should trigger strategy tweaks based on actual insights rather than gut feelings. Did that chatbot really save customer service time as predicted? Is your AI-powered inventory system actually reducing waste?

The rapid evolution of AI means your strategies need constant adjustment, like recalibrating your GPS when construction blocks your route.

Industry Use Cases for AI ROI Calculation Templates

From e-commerce inventory optimization to real estate investment analysis, our AI ROI templates make number-crunching a breeze for specific industries—check out how these templates transform complex data into actionable insights for your sector.

E-commerce and inventory optimization

E-commerce businesses often struggle with the balance between overstocking (which ties up capital) and understocking (which leads to lost sales). AI-powered inventory optimization tackles this problem head-on.

Our templates help you calculate the ROI of implementing AI systems that boost demand forecasting accuracy by 30%. The math isn't rocket science, but seeing the numbers laid out clearly helps even the most spreadsheet-allergic business owner grasp the potential gains.

The financial impact speaks for itself. AI-driven inventory management directly reduces costs by maintaining optimal stock levels while minimizing lost sales opportunities. Plus, these systems cut waste from expired products by 20%, a huge win for businesses selling perishable goods.

For local businesses competing against retail giants, these Efficiency Measurement gains aren't just nice-to-have features, they're survival tools.

Real estate investment analysis

AI has revolutionized how real estate pros crunch their numbers. Gone are the days of basic spreadsheets and gut feelings about property values. Modern AI tools now parse through mountains of market data to spot trends human analysts might miss.

Property valuation becomes more accurate as machine learning algorithms factor in neighborhood changes, economic shifts, and even social media sentiment about specific areas.

The ROI templates for real estate shine brightest in portfolio optimization and risk assessment. One investor I worked with increased their annual returns by 18% after implementing AI-driven market forecasting tools.

These templates don't just spit out numbers; they create visual maps of investment opportunities across different markets. The magic happens when financial metrics meet predictive analytics, giving investors a crystal-clear picture of potential gains against possible market downturns.

Data analytics tools can now process information from hundreds of sources simultaneously, something that would take a human team weeks to accomplish.

Product development and feature prioritization

Tech teams often struggle with deciding which features deserve their limited resources. Our AI ROI calculation templates tackle this head-on by turning gut feelings into data-driven decisions.

The templates measure the financial impact of individual features, helping product managers rank their backlog based on actual business value rather than the loudest voice in the room.

I've seen teams cut development costs by 30% simply by killing zombie features that looked cool but delivered minimal returns.

The magic happens when you connect feature evaluation to real business outcomes. Your template should track metrics like customer acquisition cost reduction, retention improvements, or revenue lift per feature.

One client used our framework to discover their "must-have" feature actually delivered 5x less ROI than a simple UX tweak nobody was championing. The interactive ROI template helps you evaluate investments based on concrete results, not wishful thinking.

This approach transforms backlog management from political warfare into strategic decision-making that everyone can rally behind.

Cross-Functional AI Use Case Evaluation Methods

Cross-functional AI evaluation brings together diverse teams to assess potential AI applications from multiple angles. The Use Case Canvas serves as a bridge between operational teams and executive leadership, creating a shared language for discussing AI projects.

This approach prevents the all-too-common scenario where tech teams get excited about capabilities while business leaders focus solely on returns. I've seen countless projects crash and burn because nobody bothered to check if the organization was actually ready for implementation.

Feasibility Assessment acts as your reality check, measuring if your company has the right infrastructure, skills, and culture to support AI adoption. Think of it as checking your car before a road trip, not just planning the destination.

The AI Solution Proposal then connects all these dots, linking operational requirements directly to expected outcomes. This method helps teams avoid the classic "shiny object syndrome" where companies chase trendy AI applications without considering their strategic fit.

The best part? This structured approach makes ROI calculations much more accurate since you've already mapped the complete implementation pathway.

Overcoming Challenges with AI ROI Templates

AI ROI templates hit snags when technical teams clash with finance departments over metrics that matter. Smart templates bridge this gap with built-in translation features that convert tech-speak into financial outcomes your CFO will high-five you for.

Addressing technical and operational issues

Technical issues can disrupt even the most promising AI ROI calculations. Your template might encounter problems when processing large datasets, or your team could face difficulties with inputting the correct variables.

These setbacks can slow everything down, similar to attempting to run modern software on outdated hardware. Address these challenges by implementing data validation checks, developing clear user guides, and establishing a support system for template users.

Many business leaders encounter attribution challenges when tracking AI benefits across departments. Your ROI template should include specific sections for cross-functional impact measurement to address this common issue.

Intangible benefits also require quantification, so incorporate fields for customer satisfaction scores or employee time savings that might not appear in traditional metrics.

The operational aspect presents its own set of challenges. Teams often lack the skills to effectively use ROI templates or interpret results. This creates a situation where your strategic planning may suffer from poor data quality.

Address this by scheduling regular training sessions and creating simple documentation with screenshots. Performance evaluation becomes more straightforward when everyone uses consistent language about metrics.

CostBenefit Analysis is most effective when templates include both short and long-term perspectives on AI investments. Data analysis should prioritize actionable insights rather than overwhelming users with every possible metric.

Your template design should strike a balance between complexity and usability, providing tech-savvy leaders with the depth they need while ensuring local business owners don't feel overwhelmed by excessive spreadsheet complexity.

Ensuring stakeholder buy-in

Beyond fixing technical glitches, your AI ROI templates need solid backing from everyone who matters in your organization. Stakeholder buy-in significantly impacts AI adoption success.

I've observed brilliant AI projects fail because the finance team wasn't involved early enough or the operations folks felt unprepared for changes. Your ROI calculation template becomes a valuable communication tool that speaks the language each stakeholder understands.

Getting buy-in requires a strategic approach customized for different stakeholders. Begin by identifying who has influence over your AI project's success. Develop a compelling business case with your ROI template that highlights specific benefits for each group.

The sales team wants to see revenue impacts, while IT cares about integration costs. Regular feedback sessions create ownership culture and improve adoption rates. My clients who establish collaboration mechanisms early report 30% faster implementation times and much less resistance to change.

The ROI template isn't just about numbers; it becomes a valuable tool for turning skeptics into champions.

The Future of ROI Templates in AI Implementation

AI ROI templates will soon connect directly with your business systems to pull data automatically. Smart templates will predict outcomes based on similar projects, giving you a crystal-clear picture of potential returns before you spend a dime.

Integration with AI agents and automation

Future ROI templates will merge with AI agents to handle complex calculations on autopilot. Picture your ROI template working like R2-D2, quietly crunching numbers while you focus on strategy.

These smart systems will pull data directly from your business tools, spot trends you might miss, and suggest improvements before problems arise.

Smart automation doesn't just save time, it transforms decision-making. Your ROI calculations become living documents that update as market conditions change. Business intelligence tools can flag when performance metrics drift from targets, letting you course-correct faster.

The real magic happens when these systems start connecting data across departments, showing how an AI investment in customer service might boost your marketing effectiveness too. CostBenefit Analysis becomes more precise as these tools learn from each calculation.

The next section explores practical methods for evaluating AI use case scenarios across different business functions.

Enhanced predictive analytics

Predictive analytics has leveled up, and it's changing how we calculate AI ROI. Modern templates now pack powerful forecasting tools that spot trends before they happen. Think of it as giving your business a crystal ball, minus the smoke and mysterious fortune teller.

These analytics don't just tell you what happened yesterday; they show what might happen tomorrow, next month, or next year. Real-world case studies reveal companies achieving major ROI wins through these predictive capabilities.

One manufacturing firm cut costs by 23% after their AI system predicted maintenance needs before breakdowns occurred.

The magic happens when these templates connect data across your business. They turn boring spreadsheets into actionable insights that help you make smarter bets on your AI investments.

Your ongoing performance assessments feed these systems, making predictions sharper over time. For local business owners, this means you can compete with the big players without needing a data science degree.

The tools do the heavy math lifting while you focus on strategic decisions. As one tech leader put it, "It's like having a weather radar for business opportunities." These predictive features help you spot storms and sunshine ahead, giving you time to grab an umbrella or sunscreen as needed.

Conclusion

AI ROI calculation templates transform complex financial analysis into a manageable process for tech leaders and business owners.

At WorkflowGuide.com, our hands-on strategies and practical frameworks ensure that these ROI calculation templates align with key business objectives and financial analysis best practices.

Templates for content marketing, healthcare initiatives, and product lifecycle management provide ready-made frameworks that save hours of spreadsheet wrestling. You'll spot winning AI investments faster while avoiding costly mistakes that drain resources.

Ready-to-use formulas help connect technical capabilities to actual business outcomes, making it easier to gain stakeholder approval. Grab these templates today and turn your next AI project from a question mark into an exclamation point on your balance sheet.

FAQs

1. What are AI Use Case ROI Calculation Templates?

AI Use Case ROI Calculation Templates are tools that help businesses figure out if their AI projects will make money. They work like road maps, guiding you through the math needed to see if an AI investment is worth it.

2. Why should my company use ROI templates for AI projects?

Money talks. Without clear ROI figures, your AI project might get shelved faster than milk goes bad. These templates give you hard numbers to back up your ideas when talking to the folks holding the purse strings.

3. What information do I need to fill out an AI ROI template?

You'll need project costs, expected savings, implementation timeline, and maintenance expenses. Most templates also ask for staff training costs and productivity impact estimates. The more real data you have, the more accurate your calculation will be.

4. Can ROI templates work for different types of AI applications?

Absolutely. Good templates can be tweaked for chatbots, predictive analytics, or automation tools. The basic math stays the same, but you'll adjust which benefits you track. Some focus on customer satisfaction while others track pure cost savings.

Disclaimer: This content is for informational purposes only and does not constitute professional financial advice. The financial data and methodologies are periodically reviewed and updated by experts to ensure accuracy for Investment Evaluation, CostBenefit Analysis, and Return on Investment ROI.

References

1. https://www.salesforce.com/blog/what-is-roi/ (2024-05-13)
2. https://tech-stack.com/blog/roi-of-ai/ (2024-08-21)
3. https://www.devoteam.com/expert-view/the-complexities-of-measuring-ai-roi/
4. https://www.multimodal.dev/post/how-to-calculate-ai-roi (2024-03-19)
5. https://propeller.com/blog/measuring-ai-roi-how-to-build-an-ai-strategy-that-captures-business-value
6. https://productschool.com/blog/analytics/roi-template
7. https://www.pm-research.com/content/iijjfds/early/2025/03/13/jfds20251185 (2025-03-13)
8. https://www.smartsheet.com/roi-calculation-templates?srsltid=AfmBOoq_rlhkGam9NBnAYCnLapa-Q7eYLvZQo_sl_-gMJZddUSvE-DRd (2018-10-11)
9. https://almbok.com/ai/templates/ai_roi_calculator_template
10. https://www.assembled.com/assist-roi-calculator
11. https://www.smartsheet.com/roi-calculation-templates?srsltid=AfmBOor4-5X-OdjVzmYm-vJGT3OMP2HlSMtnOW4aCPAPeFBAB88-LyWP
12. https://www.smartsheet.com/roi-calculation-templates?srsltid=AfmBOoqfUKaP3lm0a-kHqIzzcyMbS6cBsgAjly8aElzzwMQ9GHSNLIct (2018-10-11)
13. https://writer.com/blog/roi-for-generative-ai/ (2023-08-31)
14. https://www.jusdaglobal.com/en/article/roi-of-ai-inventory-route-planning/ (2025-03-21)
15. https://agility-at-scale.com/implementing/roi-of-enterprise-ai/
16. https://www.researchgate.net/publication/387672248_AI-DRIVEN_INNOVATIONS_IN_REAL_ESTATE_FROM_PROPERTY_ANALYSIS_TO_MARKET_PREDICTIONS_Introduction_AI%27s_Transformative_Role_in_the_Real_Estate_Sector
17. https://www.linkedin.com/pulse/prioritizing-artificial-intelligence-use-cases-roi-part-srinivasan
18. https://youexec.com/presentation-templates/ai-use-cases
19. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5097628
20. https://www.multimodal.dev/post/how-to-get-buy-in-from-stakeholders-for-ai-initiatives (2024-07-25)
21. https://www.biztory.com/blog/ai-agents-from-ai-to-roi (2025-03-28)
22. https://relevanceai.com/agent-templates-tasks/roi-calculator