Compendium of AI use cases for business

Artificial Intelligence is no longer just a futuristic concept, it is the engine driving efficiency in modern enterprises. However, the challenge for many leaders isn't why to use AI, but where to apply it for maximum impact.

At GPTApps, we believe in practical application over theory. To help you visualize how AI can transform your workflows, we have compiled a definitive list of use cases across key business departments: from marketing and sales to engineering and HR.

Marketing & Creative

Image generation: Generate on-brand, uniform images for blogs, newsletters, websites, and social channels (like YouTube thumbnails) that maintain visual consistency.
High-quality content: Produce clear, consistent written content that is strictly aligned with your company’s specific tone of voice and style guide.
Video and multimedia generation: Create audiovisual materials for websites, ad campaigns, and internal communication assets, reducing the reliance on expensive external production.
Landing pages: Rapidly build and deploy marketing landing pages using AI-powered coding tools (like v0 or Lovable) to accelerate campaign launches and idea validation.

Sales

Sales proposals: Generate commercial proposals and offers that have a consistent structure and clarity, significantly reducing the time spent on manual formatting.
Sales battle cards: Create sharp, easy-to-use battle cards (with NotebookLM) that include up-to-date competitor comparisons and key differentiators to help reps handle objections on the fly.
Case studies: Build tailored GPTs that assist teams in writing customer case studies to support the sales funnel.

Human Resources and internal culture

Candidate analysis: Use AI to evaluate, categorize, and prioritize job applicants based on resume data, improving hiring efficiency and reducing bias.
One-on-One interviews: Transcribe and summarize employee meetings to track objectives and strengthen performance reviews over time.
Company chatbot: Deploy an internal chatbot that gives employees instant access to company policies, procedures, and HR information (for example "How do I request time off?").
Internal training: Generate multimedia training assets such as videos, podcasts, and infographics, along with evaluation tools like quizzes and flashcards for employee onboarding (using NotebookLM).

Engineering

Definition of user stories: Standardize the creation of requirements and acceptance criteria, accelerating the hand-off between product managers and development teams.
Development workflow: Implement specialized AI coding assistants (like Cursor or Claude) to enhance developer efficiency through code completion and refactoring.
Automatic tests: Automatically generate unit and end-to-end tests to accelerate code validation, ensure stability, and reduce human error.
Import and export: Automate the scripts required for data migration and transformation between different systems, ensuring speed and data accuracy.

Operations and productivity

Emails, reports, and memos: Improve both the speed and quality of daily writing tasks, including emails, internal memos, and task descriptions.
Automated reporting: Generate faster, more accurate, and highly visual reports by connecting AI to your internal data sources.
Documentation: Automatically produce structured, clear documentation for products, APIs, or internal processes.

Management and administration

Meeting notes: Transcribe meetings and automatically distill key decisions, next steps, and assignees so no action item is lost.
Executive coaching: Deploy personalized AI assistants to train managers on specific soft skills or management techniques.
Legal documents: Use models to quickly draft standard contract sections or review legal documents for basic compliance checks.
Keynotes: Create presentation outlines, flowcharts, and diagrams directly from text prompts or structured data to prepare for board meetings or conferences.

Strategy and market research

Competitor monitoring: Track key competitors’ moves across product launches, pricing changes, positioning, and messaging updates.
User feedback synthesis: Collect and analyze qualitative data from interviews, support tickets, reviews, and surveys to identify pain points.
Market trend identification: Scan the broader market to spot emerging trends, shifts in customer needs, and new business opportunities.
Salary benchmarks: Research real-time salary ranges by role, level, and location to guide fair offers and improve talent retention.

The takeaway

The companies that win in the next decade will be the ones that integrate these tools seamlessly into their daily operations. Whether you are looking to automate a process or simply write better sales emails, the use cases are ready.

Ready to start building? Explore how GPTApps can help you deploy these solutions today.