AI solutions library

The ‘AI solution library’ is a curated collection of enterprise-ready GenAI solution ideas. It helps users explore how AI can address specific business needs across multiple industries and functional areas, such as finance, supply chain, operations, HR, and IT. Each solution entry includes practical implementation details, relevant AI agents, data needs, and projected benefits. The goal is to assist users in identifying high-impact use cases that are feasible and aligned with their business priorities.

Detailed solution overview

When a user selects a solution from the library, a pop-up opens displaying detailed parameters. This view is structured to provide a clear and complete understanding of what the solution does, how it works, and what it takes to implement it. Below is an outline of the information presented for each solution:

1. Impact level

Each solution is categorized by its impact level, which indicates the scale of change and potential ROI it can deliver. The three types of impact level are:

• Breakthrough – Focuses on disruptive automation across departments and business functions. These solutions replace or rewire entire workflows, potentially leading to exponential gains.

• Transformative – Optimizes current operations or business models using intelligent automation. These are designed to drive strong performance improvements and support scaling.

• Incremental – Automates task-level activities or enhances specific employee workflows. These are simpler to implement and typically offer 10–15% productivity boosts.

2. Overview

For each solution, a brief explanation of what the solution is, what problem it solves, and how it benefits the organization is provided. This section helps users quickly understand whether the solution fits their current challenges or goals.

3. Data requirements

This section specifies the types of data needed to make the solution work. This includes:

• Internal sources like historical records, templates, transactional logs, or operational databases.

• External data, such as compliance standards, market benchmarks, or data fetched using third-party APIs.

• Data formats and systems involved, such as metadata schemas, documents, or real-time inputs.

4. Implementation considerations

This section highlights the key technical, operational, and organizational factors to keep in mind when adopting the solution. These may include:

• System integration and compatibility

• Data privacy and regulatory compliance

• Change management and employee adoption

• Training needs and stakeholder involvement

• Model accuracy and ongoing monitoring

5. Top benefits

Each solution is scored across five business benefit areas using a high, medium, or low scale. The benefit areas include:

• Revenue growth

• Customer experience

• Process productivity

• Employee productivity

• Cost savings

These ratings help users prioritize solutions that align with specific business goals.

6. AI agents & tools

This section lists the AI agents required to implement the solution. Each agent represents a distinct task or function that contributes to the overall workflow—whether it’s extracting data, making decisions, executing actions, or maintaining compliance. The description includes the specific responsibility of each agent within the solution, helping users understand how individual components work together.

Agents are also marked as either essential or optional:

• Essential agents are required for the core functionality of the solution and must be included for the solution to operate as intended.

• Optional agents enhance the solution’s performance or extend its capabilities, but are not strictly necessary for initial deployment.

Actions you can take

Each solution offers two options for further use:

• Add to favorites: Each solution entry includes a star button. Clicking the star opens a new pop-up window titled 'Add AI solution to favorites, where you must click the ‘+Add’ button to save the solution to your ‘My favorite AI solutions’ section. This enables quick access and easy comparison of the solution.

• + Add to solution XPLR: Each solution entry includes this button. Clicking it opens a pop-up window titled ‘Add to Solution XPLR.’ In that window, click the ‘+Add’ button to send the solution to the ‘Solution XPLR’ module, where you can simulate and generate documentation for AI development and deployment.