Blog Post | May 2026
Pioneering has always been central to CLI’s core values. As technology evolves, we continue to seek responsible, thoughtful ways to strengthen our work. One of these efforts involves developing a strategy to integrate artificial intelligence (AI) and machine learning (ML) into our operations to enhance efficiency, improve staff support, and help us deliver high‑quality services more effectively.
Our Strategy
Our AI/ML strategy focuses on core areas of CLI’s work, including:
- Program delivery, services, and operations to streamline staff learning and capacity
- Support for CLI Engage and TECPDS to improve user experiences
- Systems and process improvements to help teams serve early learning programs
These focal areas reflect our commitment to thoughtful, responsible adoption of emerging tools; not as replacements for human expertise, but as supports that help our teams work more efficiently and sustainably.
Why It Matters
Using Resources Wisely
Many CLI programs have been operating for more than a decade. AI/ML tools can help automate routine processes and reduce manual tasks, allowing staff to direct more time toward high‑impact activities that support high‑quality implementation across early learning programs.
Strengthening Staff Capacity
Across CLI, staff spend considerable time reviewing documents, preparing program materials, and navigating complex information. AI-powered tools can facilitate staff learning and support efficient task completion. This increase in staff capabilities enables us to focus on new creative endeavors and deepen our service quality.
Improving Statewide Quality
CLI is known for evidence‑based programs and practices that help children, families, and educators thrive. Thoughtful integration of AI/ML offers new opportunities to enhance our systems, increase efficiency, and reinforce the high‑quality services we provide throughout Texas.
Early Applications
We have begun integrating AI and machine learning into two primary platforms: CLI Engage and the Texas Early Childhood Professional Development System (TECPDS).
CLI Engage
AI supported the creation of the Family Engagement Reports using data from CLI’s family engagement survey. Generative AI analyzed qualitative and quantitative responses and produced a clear, actionable PDF report grounded in CLI Family Engagement professional learning courses, the Family Engagement Toolkit, and established report models.
TECPDS
AI and machine learning support Intelligent Document Processing for career records, allowing users to combine and upload large or multiple files more efficiently. Guided prompts help users review and confirm record details, improving accuracy while maintaining user control.
Looking Ahead
We look forward to exploring better tools and finding new ways to strengthen our work as this strategy evolves. Our AI/ML strategy is an important step toward building long‑term capacity and making our tools, processes, and operations continue to support the communities we serve.