English departments face pressure to adopt new technology, and AI grading tools are among the most discussed options. Vendors promise time savings and consistency, but department chairs rightly wonder whether the tools understand literary analysis. A structured set of questions, applied to a real unit such as one on "The Lady of Shalott," can guide a thoughtful decision.

The first question is whether the tool can use your department's own rubric. A system that imposes a fixed standard will conflict with the expectations you have built together. The ability to enter your criteria, point values, and descriptors is the foundation for any useful implementation.

The second question concerns the quality and specificity of feedback. Ask to see comments on real student essays and evaluate them as you would a colleague's marginal notes. Feedback that is generic, contradicts your instruction, or misreads a student's argument will cost more time to correct than it saves.

Questions about teacher control

Teachers need final authority over every grade and comment. Ask whether educators can review, edit, and override results before students see them, and how easily that can be done for a full class. A tool that returns feedback directly to students without teacher review undermines professional responsibility.

• Can we use our own rubric, language, and point values?
• Are comments specific to each student's essay and accurate to the text?
• Can teachers review and edit everything before students see it?
• How are student data stored, protected, and used?
• What evidence exists that results are consistent across repeated runs?

Questions about data and policy

Student writing is sensitive, and departments must understand how it is handled. Ask where data are stored, who has access, how long they are retained, and whether they are used to train models. Involve district technology and privacy staff early so approval does not stall the project.

Also consider how the tool aligns with your school's policies on academic integrity and AI use. If your department is teaching students to use AI responsibly, the tools teachers adopt should model that transparency. Clear communication with students and families is part of responsible implementation.

Questions about fit and workflow

A tool can be excellent in isolation and still be a poor fit if it disrupts your daily routine. Consider how essays are submitted, how feedback is returned, and how much setup each assignment requires. The best tools reduce steps rather than adding new ones.

Ask for a pilot period and involve teachers with different levels of comfort with technology. Their varied experiences will reveal issues that a single enthusiastic adopter might overlook. Collect feedback systematically and use it to decide whether to expand.

Making a decision you can defend

Document the criteria you used, the results of your pilot, and the reasoning behind your choice. This record helps you explain the decision to administrators, families, and future staff. It also provides a baseline for evaluating the tool in later years.

Commit to reviewing the decision after a year of use. Compare grading time, teacher satisfaction, and student outcomes to your initial goals. A department that evaluates its tools openly will make better choices over time.