This is what an AI agent reads. Same page, second kind of user.

1---
2title: "EdTech AI | At-Risk Detection, Enrollment & Grading"
3description: "Applied AI for education: at-risk detection in week three, enrollment verification across SIS and LMS, and grading at scale with FERPA-aware controls."
4url: https://appstream.studio/industries/edtech
5markdown_url: https://appstream.studio/industries/edtech.md
6---
7 
81. [Industries](https://appstream.studio/industries.md)
92. Ed Tech
10 
11# Applied AI that catches the student before the semester does.
12 
13By the time a grade report shows a student failing, the intervention is late and expensive. We engineer AI that reads the signals as they happen (attendance, submissions, LMS activity), alerts the advisor, and drafts the plan. Plus the enrollment and grading work nobody should do by hand.
14 
15[Talk to an AI engineer](https://appstream.studio/schedule-a-discovery-call.md) See the workflows
16 
17enrollment.verify Illustrative
18 
191. 1 roster.sync SIS 1,840 students across 3 SIS feeds
202. 2 eligibility.check registrar credits, prereqs, holds
213. 3 seat.assign LMS 212 placements written back
224. 4 exception.route registrar 6 conflicts sent to an advisor
23 
244 calls · 3 systems · 6 advisor reviews
25 
26The work today
27 
28## Why the term gets away from you.
29 
30Education runs on a calendar, and that’s the problem. Almost everything expensive is a signal somebody saw too late.
31 
32- ### Intervention arrives after the grade
33The signals that predict a withdrawal appear in week three. The report that surfaces them appears in week nine, when the only options left are the costly ones.
34- ### Personalization is capped by headcount
35An instructor can adapt for a handful of students. Nobody adapts for four hundred, so the median student gets the median course and the tails get nothing.
36- ### Enrollment runs on spreadsheets
37Rosters, prereqs, holds, and seat assignments get reconciled by hand across the SIS, the LMS, and the registrar every term. It breaks every term, in the same places.
38- ### Procurement wants evidence, not features
39Districts and institutions ask for outcome data, accessibility conformance, and a straight FERPA answer. An AI feature that can’t produce all three never clears review.
40 
41Workflows
42 
43## Where AI now changes the economics.
44 
45The system does the reading and the drafting. A person still sends the message and gives the grade.
46 
47- ### At-risk detection and intervention
48Watches attendance, submissions, and LMS activity, flags the pattern in week three, drafts an intervention plan, and routes it to the advisor who owns that student.
49LMS → SIS → advisor queue
50- ### Enrollment and eligibility verification
51Syncs rosters across SIS feeds, checks credits, prereqs, and holds, writes seat assignments back, and sends only the genuine conflicts to an advisor.
52SIS → registrar → LMS
53- ### Grading and feedback at scale
54Grades against the rubric, writes feedback specific to what the student submitted, and routes anything near a boundary to the instructor with its reasoning shown.
55LMS → rubric → gradebook
56- ### Adaptive path adjustment
57Reorders the next unit based on what a student has demonstrably mastered, not on where the cohort is, and tells the instructor what changed and why.
58Assessment data → courseware → LMS
59- ### District and accreditation reporting
60Assembles the term report from source systems, reconciles the discrepancies it finds, and cites the source of each figure so the submission survives review.
61SIS → warehouse → report draft
62 
63The frontier, applied
64 
65## What’s newly possible here. And what each one changes in ed tech.
66 
67- ### Agentic workflows
68Enrollment reconciled across SIS, LMS, and registrar every term without the spreadsheet.
69Multi-step processes run end to end. People approve the exceptions instead of doing every step.
70- ### Reasoning systems
71Rubrics and prerequisite rules applied consistently, with the reasoning shown to the instructor.
72Models work through policy, rules, and edge cases, and show how they reached the answer.
73- ### Multimodal AI
74Essays, worksheets, and scanned work read and graded against what you actually teach.
75Documents, images, and forms become structured data without anyone keying them in.
76- ### MCP & agent interoperability
77Scoped access to student records that keeps FERPA boundaries in the architecture.
78Your software gains a second kind of user: agents, with scoped and auditable access to act.
79 
80How we work
81 
82## From the first workflow to production. Governed the whole way.
83 
84We build to the academic calendar, so changes land between terms instead of halfway through one.
85 
861. [01 Advise](https://appstream.studio/solutions/advise.md)
87### Follow the signal, not the roadmap
88We trace what your data already knows and when it knows it: which signals predict withdrawal, how early they appear, and who could have acted. That gap is the opportunity, and we size it.
892. [02 Engineer](https://appstream.studio/solutions/engineer.md)
90### Into the SIS and the LMS
91We integrate through LTI, OneRoster, and the SIS feeds you already sync, and write back where staff already look, grounded in your courseware, rubrics, and prerequisite rules.
923. [03 Operate](https://appstream.studio/solutions/operate.md)
93### Measured on outcomes you report
94We track intervention rate, time to contact, and the outcome metrics you already report upward. Those numbers are what your next procurement cycle will ask for.
95[Govern A person sends it The system surfaces the pattern and drafts the intervention; a named person sends it and gives the grade. FERPA boundaries are designed in, and the evidence procurement asks for is produced as you go. Across all three](https://appstream.studio/solutions/govern.md)
96 
97Systems
98 
99## Inside the systems you already run, not beside them.
100 
101- Canvas, Blackboard, and Moodle
102- SIS platforms and registrar systems
103- LTI 1.3 and OneRoster integrations
104- Assessment and grading engines
105- Content and courseware repositories
106- xAPI and learning telemetry
107 
108Proof
109 
110## The closest work we can show. Related work, stated plainly.
111 
112[All case studies](https://appstream.studio/case-studies.md)
113 
114[Related work Private Equity/ Engineer · Operate One AI assistant answers HR questions across every acquired company. For a PE-backed education provider: one AI assistant answering HR questions across every acquired company. Internal operations, not student-facing. Read the case study](https://appstream.studio/case-studies/enterprise-genai-people-operations.md)
115 
116Ask an AI engineer for references closer to your workflow.
117 
118[Ask an AI engineer](https://appstream.studio/schedule-a-discovery-call.md)
119 
120Other industries
121 
122- [Healthcare](https://appstream.studio/industries/healthcare.md)
123- [Financial Services](https://appstream.studio/industries/financial-services.md)
124- [Field Service](https://appstream.studio/industries/field-service.md)
125- [Private Equity](https://appstream.studio/industries/private-equity.md)
126 
127## Bring us one term of data.
128 
129Whichever signal you wish you’d acted on sooner: attendance, submissions, a stalled enrollment queue. An AI engineer will tell you how early it could have been caught and what it takes to ship before next term.
130 
131[Talk to an AI engineer](https://appstream.studio/schedule-a-discovery-call.md) · [See our work](https://appstream.studio/case-studies.md)
132 
133---
134 
135## AppStream Studio
136 
137AppStream turns frontier AI capabilities into production systems that perform real work. Talk to an AI engineer: https://appstream.studio/schedule-a-discovery-call · Email: contact@appstream.studio
138 
139- [Home](https://appstream.studio/index.md)
140- [Solutions](https://appstream.studio/solutions.md)
141- [Advise](https://appstream.studio/solutions/advise.md)
142- [Engineer](https://appstream.studio/solutions/engineer.md)
143- [Operate](https://appstream.studio/solutions/operate.md)
144- [Govern](https://appstream.studio/solutions/govern.md)
145- [How we work](https://appstream.studio/how-we-work.md)
146- [Work (case studies)](https://appstream.studio/case-studies.md)
147- [Industries](https://appstream.studio/industries.md)
148- [Insights](https://appstream.studio/blog.md)
149- [Partners](https://appstream.studio/partners.md)
150- [About](https://appstream.studio/about-us.md)
151- [Contact](https://appstream.studio/contact.md)
152