AI helps us analyze information, organize research, and develop drafts. Our professionals set the direction, evaluate the work, and remain responsible for what we share. That gives our team more time for the work where human experience matters most: listening to families, designing programs, working with colleagues, and applying decades of professional expertise to real problems.

AI does not counsel families. It does not decide what path a student should take after high school. It does not write or rewrite a student's own application materials. No recommendation, document, or piece of advice reaches a family unless a Sum Total professional has reviewed it and stands behind it.

Every AI-assisted piece of work follows the same path. A person defines the task, AI assists, and a person reviews, corrects, and approves the result before it is used or published. Our team keeps creative and strategic control at every stage. When AI surfaces a fact, figure, or source, a person checks it against the original before it appears in our materials. What we learn in review shapes how we use these tools the next time, so the process keeps improving.

We do not enter student or family personal information into AI tools that keep that information or use it for training. Your family's story stays with us.

When AI has contributed to content development, substantive drafting, or analysis, we say so. If you want to know how a resource was made, ask us. We can explain how it was developed.

We are educators, artists, communicators, security architects, and developers. Our team’s experience protecting sensitive information in healthcare and higher education informs how we handle student and family information.We bring that same standard to every family we serve. We work alongside experts in our field, on our team, and in our community. We listen to the challenges they face and look at how our toolkit can help. We believe in the human creative process, and we celebrate what people can do together.

The money section of The Launch Years, start to finish

1. People set the direction. Robynne and Brandi decided what families with students in grades 10 through 12 most need to understand about paying for life after high school. They then consulted current financial aid leaders to make sure we included the topics that impact new undergraduate students. Together they chose the approach: practical calculations a family can work through together, using a real school's numbers as a teaching example.

2. AI helped draft. We used AI to organize research, structure the section, and produce a first draft of the explanations and worksheets.

3. People reviewed every line. In review, we noticed that the draft called the same framework "three calculations" in one place and "The Four Equations" in another. That's the kind of mismatch that confuses a family halfway through a worksheet. We fixed it and updated our counselor guides to match.

4. We checked ourselves, too. Some errors came from us, not the AI. After years of doing this work, "Expected Family Contribution" was the term we were accustomed to using, and it made its way into the draft. The federal government has since replaced it with the Student Aid Index, which is calculated differently. Experience is what lets us guide families well, but it also means we have to keep checking that our language and our understanding of policy match what families will see today. 

5. People checked what changes. The Georgia State University cost figures we use as an example are tied to a specific year. Federal college data tools have also been changing. We marked both for review every year, so the workbook doesn't quietly go out of date.

6. People approved it. Nothing went to print until a Sum Total professional had reviewed and signed off on the section. The copyright page of every workbook says how AI was used.