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Recognition, re-registration, accreditation, funds requests: neuland.ai HUB agents read campus management, regulations and project accounts, for example, and submit reasoning, a reply or an overview as a draft.

neuland.ai HUB · Examination Office

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Application AN-2026-1187: can the course Data Analytics for Business from the University of Porto be recognized for the Business Analytics module in the Master's in Business Informatics?

Tools chosen automatically

  • Campus management · Application AN-2026-1187read
  • Document management · Course description and transcript, Portoread
  • Document management · Module handbook MA Business Informatics, module WI-M07read
  • Examination administration · Earlier resolutions on this courseread
  • Document management · Draft reasoningDraft

Proposal: recognition. Four of five learning outcomes of WI-M07 are covered [1] [2]; the fifth, visualization with dashboards, is taught in module WI-M09 anyway. The difference of 0.5 ECTS (7.5 vs. 8) does not constitute a substantial difference [3]. The board recognized the same course on May 14, 2025 [4].

  • [1]Course_Description_Data_Analytics_Porto_2025.pdf · p. 2
  • [2]Module handbook MA Business Informatics 2024 · p. 31
  • [3]Transcript of Records, Porto · 7.5 ECTS
  • [4]Minutes examination board May 14, 2025 · Item 6

Draft the decision paper for the meeting on Oct 21.

  • Document management · Decision paper item 4.7Draft

The paper is ready: comparison of learning outcomes, reference to resolution PA 2025/042, proposal to recognize with 8 ECTS [1]. The examination board has to decide on Oct 21; the notice to the student is only issued after that.

  • [1]Resolution PA 2025/042 · Recognition for WI-M07
Decision paper item 4.7Meeting Oct 21, 2026 · WordDraft
  • done: Four of five learning outcomes covered
  • done: Earlier resolution PA 2025/042 referenced
  • open: Visualization: reference to module WI-M09
  • question: Awaiting the examination board's decision

The board makes the decision, not the agent.

For studies, quality and research

Agents for studies, accreditation and research, set up for your regulations.

Student services, quality management and the research office start with one or more agents from the library and add examination regulations, state ordinance or funding guidelines as knowledge, without programming.

Example · What's on the board's table

The decision paper the agent drafts: reasoning, not a course description.

Under the Lisbon Recognition Convention, credits are recognized unless the university proves a substantial difference. The paper answers exactly this question: learning outcomes side by side, earlier resolution, proposal. The examination board has to decide.

Decision_paper_AN‑2026‑1187.docx
Draft

Decision paper item 4.7 · Application AN‑2026‑1187 · Meeting Oct 21, 2026

Application: recognition of Data Analytics for Business (Porto, 7.5 ECTS according to the Transcript of Records) for module WI-M07 Business Analytics (8 ECTS).

Learning outcomes: four of five learning outcomes of the module are covered [1]. Visualization with dashboards is not covered; it is taught in module WI-M09 anyway. The difference of 0.5 ECTS does not constitute a substantial difference.

Grade: 16 of 20 points, converted to 2.2 using the modified Bavarian formula.

No substantial difference can be established. The board recognized the same course with resolution PA 2025/042 [2].

Proposal: recognition with 8 ECTS.

[1]Module handbook MA WI 2024 · p. 31 · Course Description p. 2
[2]Minutes of May 14, 2025 · Item 6
DraftDecision at the meeting on Oct 21

If the board decides differently, its resolution becomes the reference for the next application.

Directly from campus management

The agent reads directly in campus management. Nobody uploads the application a second time.

The agent reads the transcript and course description where the student submitted them: in campus management. Ready-made connectors exist for SharePoint, Outlook, Teams and Nextcloud, for example; we connect the learning platform, DMS and other systems via their interfaces. It files the finished paper in the DMS only after your approval.

Data from Campus management, Learning platform, DMS, SharePoint, Nextcloud etc. flows through neuland.ai HUB to DMS, Outlook, Slack, Website etc.

Ready in the Agent Library

Ready-made agents for universities and higher education. Each takes on one defined task, from application to research report.

From student services to research: eight of dozens of agents for education and research.

Anerkennungs Agent

55%

faster processing

Checks academic credits earned abroad and drafts the reasoning for the examination board.

EducationExamination Office, International Office

Studierenden-Lotse Agent

up to 60%

fewer first-level inquiries

Answers questions about the course of study in several languages and in plain language.

EducationRegistrar's Office, student advising

Akkreditierungs-Vorprüfung Agent

50%

fewer revisions

Checks program concepts against the formal criteria before the self-evaluation report.

EducationQuality management, Dean of Studies

Drittmittelverwaltungs Agent

50%

less administrative effort

Guides you through account assignment, spending control and funding guidelines.

EducationInstitute offices, Third-Party Funding Office

Forschungsreporting Agent

70%

less reporting effort

Aggregates research and third-party funding data in a structured way.

EducationResearch office, management

Forschungsdatenmanagement Agent

60%

less search effort

Inventories research data and proposes metadata and DMP components.

EducationResearch data management, institutes, library

Studierendenkommunikation Agent

60%

faster processing

Automates structured communication with students.

EducationStudent services, administrative office

Studierendenaufnahme Agent

50%

faster processing

Automates application and admission processes in a structured way.

EducationRegistrar's Office, admissions

Figures are based on comparable projects and are not a guarantee.

Who sees which student data

Student data is visible only to the office that manages it.

Admins assign permissions per faculty, institution and role; within these permissions, teaching staff, administration and research work freely.

Grade listsNever entire cohortsThe Anerkennungs Agent reads module handbooks, resolutions and the one application, not the grade lists of entire cohorts. This is set per agent.
PermissionsPer faculty and roleRegistrar's Office, research office and faculties are separated by granular permissions; tenant isolation applies between organizations.
LogEvery comparisonEvery tool call the Anerkennungs Agent makes is in the log with arguments, response and duration, verifiable for every appeal against a decision.
DocumentationISO 27001, DPAISMS certified to ISO 27001, data processing agreement (DPA) under Art. 28 GDPR and documented TOMs, ready for your data protection officer.

DPA and TOMs are available for download for your record of processing activities.

What universities ask before they start

Eight questions before the first application

  • Annex III No. 3 lists AI for evaluating learning outcomes as high-risk; Art. 6(3) exempts preparatory tasks under certain conditions. The Anerkennungs Agent prepares: it compares learning outcomes and drafts the paper; the examination board decides, and the Examination Office sends the notice. Your university assesses how your use case is classified.

The first paper is ready before the next meeting. Your last resolution is the reference.

Bring a module handbook, plus an earlier resolution and an application, both anonymized. In the neuland.ai HUB you see which paper the Anerkennungs Agent drafts from them.

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