AI Stock Plan Administration Transformation—and the importance of human involvement

Generative Artificial Intelligence (AI) is evolving faster than any technology since the internet and continues to outpace most companies' ability to respond. But like any technology, AI is only as good as the human behind it. Consistent practice and regular usage are fundamental for optimal performance and results. When AI is embedded into core workflows and systems—making it a daily tool, the technology could truly drive cultural change through training and experimentation.

AI and stock plan administration
As AI has made its way into nearly every business segment, it's beginning to revolutionize stock plan administration in several fascinating ways. AI is automating complex tasks, enhancing data accuracy through anomaly detection, personalizing employee experiences with chatbots and tailored insights, and using sentiment analysis to gauge participant understanding. Over time, we expect to see AI ultimately streamlining operations, boosting trust, and providing proactive support for both administrators and employees. As more plan administrators adopt AI into their daily processes, we hope to see efficiencies develop including:

For Administrators

• Error Detection & Audits: Machine learning can be used to identify anomalies in vesting or grant data, potentially improving accuracy and reducing manual checks.
• Process Automation: AI can handle repetitive, data-heavy tasks like pre-vest audits, freeing up admin time.
• Data Mining & Insights: Analyzes vast datasets to help identify patterns in participation, helping administrators understand trends and potential issues.

For Employees

• Personalized Dashboards: AI powers dynamic dashboards that model specific equity awards, helping employees understand potential financial impacts of selling or holding.
• Virtual Assistants/Chatbots: Provide instant, context-aware answers to complex plan questions, helping to reduce confusion and reliance on human admins.
• Sentiment Analysis: Gauges employee understanding and satisfaction by analyzing interaction patterns, allowing for targeted communication.

By building AI into regular processes, companies can create more efficient, trustworthy, and engaging equity programs. Here's a look at some of the specific benefits AI-based tools can offer, and how plan administrators can make the most of this technology with human involvement.

Anomaly detection
Stock administration is a transaction-heavy business that requires analyzing many large files from HR, payroll, and finance. These files could easily contain data anomalies.

The same AI machine learning technology used to determine if an email is spam is being used for early detection of data anomalies based on past trends. It can be designed to flag questionable data elements and stops them from entering until confirmed by the administrator.

Anomaly detection opportunities include unusual input data, missing records and fields, and missing steps in transaction processing. But as mentioned earlier, human oversight is critical for making final decisions on anomalous data and providing feedback to the system for continued improvement.

Recommendation Engines
As stock administration systems become more advanced, it may be challenging to know which features are most important or which manual processes have the most potential for automation.

A recommendation engine is an information filter that can learn about users' needs and interests based on their historical behavior and help predict their next steps. For example, a stock administration system may expect you to process an ESPP purchase after importing participant contributions, or it may expect that you're ready to complete the release of shares following a termination with accelerated vesting, depending on historical data.

Recommendation engine opportunities include next-step recommendations which could lead to better business efficiencies, potentially catching missed steps and new feature suggestions. With this information plan administrators can make more informed final decisions based on the recommendations and develop a comprehensive strategy for process design.

Schwab's AI strategy
At Schwab, we're taking a careful, strategic approach to adding AI to our work processes. We're building it from the ground up, starting with broad AI readiness and scaling productivity that will lead us to client-facing innovation. With each step we are ensuring the human touch is involved every time. The steps we're employing include:

• Innovate with client-facing AI: Schwab intends to review and vet new AI capabilities and experiences to improve productivity and enhance our plan sponsor experiences
• Building AI fluency and readiness: Schwab team members continue using Microsoft Copilot and studio tools to elevate customer communication
• Drive scale and efficiency with AI productivity: Schwab employees utilize knowledge assistants and service AI tools—hoping to improve response times to participant inquiries

AI is here—but not without people
Bottom line, Artificial Intelligence is here to stay and there's no denying that it will impact many aspects of our lives. Stock-plan administration is no exception. Given the fast evolution and the growing role AI plays in our industry, getting a head start on understanding the current B2B software applications will support readiness as these technologies become more prevalent. Schwab continues to monitor and test AI tools that can benefit participants and plan sponsor efficiencies.

However, it's important to remember that while machine-learning algorithms help us reach faster answers based on historical patterns, they continue to come with a degree of error. AI outputs may be inaccurate or "hallucinated" and must be independently verified, and AI users should never input sensitive or personal data unless approved safeguards are in place. Artificial intelligence requires competent oversight from humans with experience, wisdom, and the ability to strategize.