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Top 10 Agentic AI Use Cases in Business

Top 10 Agentic AI Use Cases in Business
Technology
November 26, 2024

1. Market Research: Unlock Consumer Insights at Scale

Who It's For: Market Research Analysts, Marketing Professionals, Management Consultants, PE/VC Investors

The Pain Points:

Manually collecting and comparing market data across platforms is time-consuming. Integrating quantitative survey results with qualitative insights at scale is challenging, while inconsistent benchmarking leads to subjective analysis. Gathering competitor data from multiple sources and building complex comparison tables requires hours of tedious work.

How Winning Strategy's AI Agents will help:

Spreadsheet Agent: Use our Spreadsheet Agent to conduct comprehensive market research in minutes with automated data integration and deep consumer insights.

  • Automated Data Import: Imports and normalizes data from PDFs and Excel directly into spreadsheet tabs in minutes
  • Consumer Insights: Analyzes consumer surveys, reviews, and feedback in minutes, generating quantitative results with source traceability
  • Market Analysis: Identifies market trends, consumer sentiment indicators, and behavioral patterns across sources instantly

Slide Generation Agent: Connect with our Slide Generation Agent to generate professional market research reports and strategic presentations in minutes.

  • Automated Research Decks: Conducts comprehensive market research and generates professional decks in minutes with consumer insights, market positioning, trend analysis, and strategic recommendations with sources
  • Market Insights Analysis: Analyzes market data instantly to identify emerging trends, consumer preferences, market opportunities, and strategic insights

Example Prompts:

  • "Conduct an in-depth consumer sentiment analysis using the uploaded eCommerce review data."
  • "Identify emerging trends and consumer preferences impacting the market."
  • "Generate slides analyzing consumer behavior patterns and market trends in the telecom sector."
  • "Summarize key consumer insights and market dynamics for the FMCG industry."

2. Project Management Tracker: Streamline Your Oversight

Who It's For: Logisticians, Project Management Specialists

The Pain Points:

Manually updating multiple trackers for status, delays, and owners wastes valuable time. Project trackers quickly become outdated, requiring constant manual data entry and formula adjustments. Junior analysts struggle with identifying and highlighting KPIs that affect project timelines. Additionally, creating professional project status presentations is time-consuming and requires design skills to effectively visualize project data.

How Winning Strategy's AI Agents will help:

Spreadsheet Agent: Use our Spreadsheet Agent to build intelligent project trackers in minutes with advanced formulas, timeline management, and consolidated dashboards.

  • Auto-Generated Trackers: Generates comprehensive trackers with formulas and dependencies automatically in minutes
  • Smart Calculations: Manages complex timeline, dependency, and status calculations instantly without manual intervention
  • Intelligent Restructuring: Restructures timelines in minutes based on requirements and provides actionable insights
  • Master Dashboard: Consolidates multiple trackers into one centralized dashboard in minutes

Slide Generation Agent: Connect with our Slide Generation Agent to create professional project status reports and executive presentations in minutes.

  • Visual Progress Reports: Generates slides in minutes with Gantt charts, milestone tracking, and variance analysis
  • Executive Dashboards: Creates comprehensive project overview decks instantly with KPI highlights and risk assessments
  • Stakeholder Updates: Produces formatted presentations in minutes with timeline comparisons and resource allocation insights

Example Prompts:

  • "Create a chart showcasing actual vs. planned timelines to monitor schedule variance."
  • "Update the tracker comments with detailed technical explanations in case of delays."
  • "Generate slides with project status highlighting key milestones and delays."
  • "Create presentation summarizing project health across all active initiatives."

3. API Data Integration: Connect and Analyze Paid Sources

Who It's For: Market Research Analysts, Marketing Specialists

The Pain Points:

Manually gathering and merging data from multiple paid sources like HubSpot, Salesforce, and Crunchbase is tedious and time-consuming. High time spent cleaning inconsistent JSON data fetched from APIs slows down analysis. Technical barriers prevent non-technical analysts from accessing valuable data locked behind API endpoints, creating dependency on engineering teams.

How Winning Strategy's AI Agents will help:

Data Analysis Agent: Use our Data Analysis Agent to connect to paid API sources in minutes, write custom Python code in Jupyter notebook format, and perform comprehensive analysis.

  • Automated API Connections: Connects to APIs like HubSpot, Salesforce, and Crunchbase to pull structured data automatically in minutes
  • Python Code Generation: Writes and executes Python code in Jupyter notebook format for data extraction and transformation instantly
  • Smart JSON Mapping: Maps complex JSON schemas, cleans inconsistent data formats, and normalizes datasets in minutes
  • Data Merging: Merges and consolidates data from multiple sources for unified analysis in minutes

Example Prompts:

  • "Connect to HubSpot APIs, fetch company and lead data, clean and merge for analysis."
  • "Pull our company data from Salesforce and analyze account health metrics."
  • "Extract Crunchbase funding data for competitor analysis and create a comparison report SAAS."

4. Financial Modelling: Build Sophisticated Financial Analysis

Who It's For: Financial Analysts, Financial Advisors, Strategy Consultants

The Pain Points:

Financial professionals spend an average of 15-20 hours per week on manual data processing tasks. For startups preparing data rooms or established businesses conducting financial analysis, this translates to significant opportunity costs. Building complex financial models, market sizing frameworks, and benchmarking reports requires extensive manual work across multiple data sources and formats.

How Winning Strategy's AI Agents will help:

Spreadsheet Agent: Use our Spreadsheet Agent to build sophisticated financial models in minutes with automated calculations, forecasting formulas, and comprehensive analysis.

  • Automated Model Generation: Creates 5-year financial models in minutes with DCF valuation, market sizing (TAM/SAM/SOM), and scenario analysis
  • Data Consolidation: Collects and consolidates data from various unstructured sources into structured financial formats in minutes
  • Smart Calculations: Builds complex formulas instantly for revenue projections, cost analysis, budgeting, and valuation metrics
  • Benchmarking Analysis: Compares company financials against industry peers in minutes with automated ratio calculations
  • Source Citations: Provides rationale and source traceability for all data points and assumptions

Slide Generation Agent: Connect with our Slide Generation Agent to create professional financial presentations and investment decks in minutes.

  • Professional Financial Decks: Generates presentation-ready slides in minutes with financial charts, valuation summaries, and key metrics
  • Visual Analysis Reports: Creates compelling visualizations instantly of market sizing, growth projections, and benchmarking comparisons
  • Executive Summaries: Produces formatted slides in minutes with financial insights, recommendations, and supporting rationale
  • Source Citations: Includes proper attribution and data sources for credibility and traceability

Example Prompts:

  • "Create a sheet with 5-year Financial Model with DCF valuation analysis for a SaaS company using provided financial records."
  • "Build market sizing model for a new product line expansion with TAM/SAM/SOM analysis and 5-year projections."
  • "Generate slides with financial benchmarking report comparing our company against industry peers."
  • "Create presentation deck summarizing valuation analysis and investment highlights for Series A pitch."

5. M&A Due Diligence: Accelerate Investment Analysis

Who It's For: Financial Analysts, Financial Advisors, PE/VC Investors

The Pain Points:

Manual due diligence requires extensive human effort across legal, financial, and operational audits. Delays in validation increase risk exposure and prolong investment decisions. Analyzing target company's extensive datasets—financial records, contracts, customer data, and operational metrics—demands significant time and resources, slowing down deal execution.

How Winning Strategy's AI Agents will help:

Spreadsheet Agent: Use our Spreadsheet Agent to build comprehensive due diligence models in minutes with automated data analysis and benchmarking.

  • Financial Analysis Models: Creates detailed financial performance models in minutes analyzing revenue trends, profitability metrics, and cash flow patterns
  • Risk Assessment Framework: Builds systematic risk evaluation models instantly identifying anomalies in financial statements and operational data
  • Benchmarking Analysis: Compares target company metrics against industry peers in minutes with automated ratio calculations and performance indicators
  • Data Consolidation: Gathers and analyzes data from various unstructured sources including contracts, customer databases, and operational records in minutes
  • Source Citations: Provides rationale and source traceability for all findings and risk assessments

Slide Generation Agent: Connect with our Slide Generation Agent to create professional due diligence reports and investment presentations in minutes.

  • Executive Summary Decks: Generates presentation-ready slides in minutes summarizing key findings, risks, and investment recommendations
  • Visual Risk Analysis: Creates compelling visualizations instantly highlighting anomalies, red flags, and areas requiring attention
  • Benchmarking Reports: Produces formatted slides in minutes comparing target company performance against industry standards
  • Value Creation Opportunities: Presents identified opportunities and strategic insights instantly with supporting data
  • Source Citations: Includes proper attribution and data sources for credibility and audit trail

Example Prompts:

  • "Conduct due diligence by reviewing financial statements and contracts to identify potential risks."
  • "Create benchmarking analysis comparing target company's operational performance against industry peers."
  • "Generate slides summarizing key findings, anomalies, and investment risks for the deal committee."
  • "Build comprehensive due diligence deck highlighting value creation opportunities and risk mitigation strategies."

6. Time-Series Forecasting & Advanced Analytics: Predict Future Trends

Who It's For: Financial Analysts, Financial Advisors, Data Analysts

The Pain Points:

Manually creating forecast models is highly technical and prone to errors. Manually analyzing portfolio performance limits insights generation due to cognitive bias of the analyst. Conducting variance analysis between budgeted and actual costs is time-intensive and error-prone, especially across multiple cost centers and time periods.

How Winning Strategy's AI Agents will help:

Data Analysis Agent: Use our Data Analysis Agent to build automated forecasting models in minutes, perform classification and clustering analysis, and generate interactive visualizations.

  • Time-Series Forecasting: Builds and trains forecasting models automatically in minutes using advanced time-series algorithms with confidence intervals
  • Interactive Visualizations: Creates dynamic charts and graphs instantly using Plotly for revenue projections, portfolio performance, and variance analysis
  • Portfolio Analytics: Analyzes performance and risk metrics in minutes, visualizes diversification across sectors, and identifies optimization opportunities
  • Automated Variance Analysis: Performs detailed variance analysis in minutes comparing budgeted vs. actual expenses across multiple dimensions
  • Classification & Clustering: Applies machine learning instantly to segment customers, categorize expenses, and identify patterns in financial data
  • Python Code Generation: Writes and executes Python code in Jupyter notebook format for advanced statistical analysis

Example Prompts:

  • "Forecast next four quarters of revenue using uploaded 'revenue_history.xlsx' and create visualizations using Plotly."
  • "Analyze performance and risk metrics for uploaded 'portfolio_holdings.csv' and visualize diversification."
  • "Analyze the file 'expense.csv' and perform variance analysis on Budgeted and Actual expenses."
  • "Perform customer segmentation using clustering analysis on transaction data and identify key patterns."

7. Talent Management: Streamline Onboarding & Development

Who It's For: Human Resources Workers, HR Business Partners, L&D Specialists

The Pain Points:

Spending hours updating the same onboarding content across multiple presentation decks whenever company policies, benefits, or procedures change. Struggling to maintain consistent branding, tone, and information accuracy across different onboarding presentations for various departments and employee levels. Additionally, aggregating completion rates, assessment scores, feedback surveys, and skill proficiency data from multiple sources is time-consuming. Building complex training effectiveness dashboards, skill gap analysis charts, and competency progression maps from scratch is labor-intensive.

How Winning Strategy's AI Agents will help:

Spreadsheet Agent: Use our Spreadsheet Agent to analyze training data in minutes, track completion rates, and build comprehensive talent development models.

  • Training Analytics: Aggregates and analyzes completion rates, assessment scores, and skill proficiency data across departments in minutes
  • Skill Gap Analysis: Creates competency matrices and identifies capability gaps across the organization instantly
  • ROI Calculations: Builds models in minutes calculating training program effectiveness and development investment returns
  • Performance Tracking: Generates dashboards instantly tracking learning progression and employee development metrics

Slide Generation Agent: Connect with our Slide Generation Agent to create professional onboarding presentations and L&D strategy decks in minutes.

  • Automated Onboarding Decks: Generates comprehensive onboarding presentations in minutes from master content libraries with consistent branding
  • Tailored Content: Customizes onboarding materials instantly for specific roles, departments, or locations while maintaining core messaging
  • L&D Strategy Presentations: Creates professional training ROI dashboards, competency gap analysis, and development program effectiveness reports in minutes
  • Visual Standards: Ensures all presentations maintain consistent visual standards, brand guidelines, and engaging design elements
  • Policy Summaries: Automatically updates and summarizes key HR policies and procedures from company handbooks in minutes

Example Prompts:

  • "Create a deck on workplace culture and code of conduct for new hires."
  • "Summarize key HR policies and procedures from the uploaded company handbook."
  • "Create an L&D strategy deck for leadership for the software development team."
  • "Prepare slides on organizational capability development based on the Employee skill matrix uploaded."

8. Advertising Strategy: Optimize Marketing Campaigns

Who It's For: Marketing Specialists, Market Research Analysts

The Pain Points:

Customer data is dumped across multiple sheets, making manual correlation for a unified view complex and time-consuming. Building and updating Gantt charts or campaign calendars in Excel requires tedious manual adjustments—any change in one campaign element demands laborious updates to dependent tasks and dates. Customer segments are created manually based on hunches or one-time analysis, quickly becoming outdated as new customer data comes in.

How Winning Strategy's AI Agents will help:

Spreadsheet Agent: Use our Spreadsheet Agent to build automated campaign timelines in minutes, dynamic Gantt charts, and data-driven customer segmentation.

  • Automated Campaign Timelines: Drafts complete timelines in minutes with automatic date propagation based on goals and launch dates
  • Dynamic Gantt Charts: Creates charts instantly with real-time progress insights and dependency tracking
  • Smart Segmentation: Identifies target cohorts in minutes using behavioral and demographic data analysis
  • Unified Data View: Correlates customer data across multiple sheets for comprehensive insights in minutes
  • Phased Task Lists: Generates detailed campaign execution plans instantly with milestone tracking

Slide Generation Agent: Connect with our Slide Generation Agent to create professional campaign presentations and strategy decks in minutes.

  • Campaign Overview Decks: Generates presentation-ready slides in minutes with campaign timelines, target audience profiles, and key milestones
  • Visual Campaign Calendars: Creates compelling Gantt chart visualizations instantly showing campaign phases and progress
  • Audience Segmentation Reports: Produces formatted slides in minutes with demographic breakdowns and behavioral insights
  • Performance Dashboards: Develops visual campaign progress reports instantly with KPI tracking and insights

Example Prompts:

  • "Prepare campaign calendars aligned with product launches per specified dates."
  • "Identify target cohorts for upcoming campaigns using behavioral data."
  • "Generate slides with campaign timeline and audience segmentation for Q1 marketing strategy."
  • "Create presentation deck showing campaign progress across all active marketing initiatives."

9. Exploratory Data Analysis: Transform Raw Data into Insights

Who It's For: Management Analysts, Business Analysts, Strategy Consultants

The Pain Points:

Manual data extraction and consolidation from multiple online reports, PDFs, and websites is extremely time-consuming. Significant time is spent on data cleaning, standardization, and formatting prior to analysis. Fragmented data leads to incomplete insights and lack of traceability to original data sources. Converting unstructured data to structured formats for analysis requires technical expertise and repetitive manual work.

How Winning Strategy's AI Agents will help:

Spreadsheet Agent: Use our Spreadsheet Agent to automate data extraction, consolidation, and exploratory analysis from multiple sources in minutes.

  • Automated Data Import: Imports and normalizes data from reports, PDFs, and websites directly into spreadsheet tabs in minutes
  • Smart Structuring: Identifies key entities and structures unstructured information into analysis-ready tables instantly
  • Intelligent Formulas: Generates formulas in minutes to detect trends, calculate market shares, and benchmark KPIs automatically
  • Data Cleaning: Standardizes and formats data for immediate analysis without manual intervention in minutes
  • Source Traceability: Provides rationale for each numerical value and maintains source attribution for all imported data

Slide Generation Agent: Connect with our Slide Generation Agent to create professional executive summaries and analytical presentations in minutes.

  • Executive Summary Decks: Drafts executive summaries in minutes highlighting key market insights and data-driven findings
  • Visual Data Exploration: Creates compelling charts, graphs, and visualizations from analyzed datasets instantly
  • Insight Presentations: Generates formatted slides in minutes with trend analysis, benchmarking comparisons, and strategic recommendations
  • Source Citations: Includes proper attribution linking insights back to original data sources

Example Prompts:

  • "Draft executive summaries highlighting key market insights and charts from the uploaded file."
  • "Extract and consolidate data from these industry reports into analysis-ready tables."
  • "Generate slides with exploratory analysis showing market trends and competitive positioning."
  • "Create presentation deck summarizing key findings and recommendations from multi-source data analysis."

10. Credit Risk Analysis: Automate Default Prediction

Who It's For: Financial Analysts, Financial Advisors, Credit Risk Managers

The Pain Points:

Manual credit scoring is subjective and inconsistent across analysts. Manual risk assessment can introduce bias based on analyst experience and judgment. Analyzing multiple data points—credit history, income, behavioral patterns, and other variables—to determine default probability is time-consuming and prone to human error. Traditional scoring methods fail to capture complex patterns in customer data.

How Winning Strategy's AI Agents will help:

Data Analysis Agent: Use our Data Analysis Agent to build automated credit risk models in minutes with machine learning algorithms and predictive analytics.

  • Default Prediction Models: Analyzes credit history, income, and behavioral data in minutes to predict customer default probability
  • Automated Scoring: Generates objective credit default scores instantly eliminating manual bias and inconsistency
  • Multi-Parameter Analysis: Evaluates various risk parameters in minutes including payment history, debt-to-income ratios, and behavioral patterns
  • Python Code Generation: Writes and executes Python code in Jupyter notebook format for advanced risk modeling
  • Visual Risk Assessment: Creates interactive visualizations instantly showing risk distributions and score breakdowns
  • Model Transparency: Provides rationale for risk scores with feature importance and contributing factors

Example Prompts:

  • "Predict default probability using uploaded 'loan_data.csv' and 'credit_scores.csv'."
  • "Analyze customer credit profiles and generate risk scores for the portfolio."
  • "Build a default prediction model and visualize risk distribution across customer segments."
  • "Identify high-risk customers and provide recommendations for risk mitigation strategies."
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