A Website-Native AI Assistant Supporting Student Journeys at Scale

One missed answer to a candidate’s question can delay an application — or stop it entirely. Over time, these small drop-offs compound into weaker cohorts and lower enrollment. Following their website redesign, Wittenborg University of Applied Sciences (WUAS) added an AI assistant for new applicants and current students. It answers questions about admissions, programs, and student life at the moment they are asked. Every response is grounded in official university information. This gives the institution a controlled, scalable way to support users across the student journey without compromising accuracy.

About the project

Client:

WUAS

Country:

Netherlands

Launched:

2024

Team:

6 members:

Visit website

Technologies:

Drupal 10 OpenAI API Milvus (Vector Database) RAG (Retrieval-Augmented Generation) JavaScript

Services used:

AI Integration Web Development UI/UX Design Project Discovery Maintenance & Support

A multi-year collaboration that prepared WUAS for AI

AnyforSoft has been working with WUAS since 2023, supporting the evolution of the university’s digital platform. The collaboration began with a full-scale redesign and optimization of the WUAS website, built on Drupal.

That project delivered a foundation critical for the AI assistant:

Mobile-first Drupal 10 platform
Structured, reusable content
Improved search and navigation
Stable, maintainable architecture

This groundwork made it possible to introduce AI-driven communication in a controlled, scalable way.

[Read the case study]

What people say about us

Reviewed on

4.9/5 rating

Education

Netherlands

They are not just web developers but also a strategic partner that we highly recommend working with. The team members are kind, approachable and professional, as well as flexible. AnyforSoft have delivered high-quality work within the scheduled timeframe and in addition, provided us with valuable advice regarding the design of the website.

Denis Schuh

IT Specialist & Webmaster at Wittenborg University of Applied Science

The goal is AI the university can trust

The solution that works natively within the website

The AI assistant needed to operate as a natural part of the WUAS website. It had to fit existing content workflows, support fast implementation, and remain cost-efficient to develop and maintain.

Accurate, up-to-date, and contextual answers

University information changes frequently — programs are updated, procedures evolve, and new documents are published. The assistant needed to provide accurate answers that reflect the current state of WUAS information and stay consistent throughout a conversation.

Clear boundaries for AI behavior

The assistant had to remain focused on WUAS-related topics and support users without drifting into irrelevant conversations. It also needed to guide users to the right pages, forms, or contact details when direct answers were not appropriate.

An AI assistant designed around integration, accuracy, and control

Built natively on Drupal

Because the website and assistant run on the same Drupal platform, the system fits into existing editorial processes. No separate AI platform was required; we simply built out a new module that now provides a stable foundation for long-term maintenance and future expansion.

Knowledge-base-driven answers

The assistant generates responses using a controlled knowledge base derived from WUAS website pages and documents. When content changes, answers update automatically. This keeps public information consistent and reduces follow-up questions.

Controlled and configurable AI behavior

The assistant responds only to WUAS-related topics and remains focused on official university information. When appropriate, it directs users to relevant pages, forms, or contact details. Administrators control tone of voice and which content the assistant can access.

Connecting AI to a website is just one possible application.

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Looking ahead: a foundation for intelligent workflows

From answers to personalized communication

With CRM integration, the assistant can tailor communication for applicants and students based on context such as program interest or application stage. This makes guidance more relevant and timely, improving engagement without increasing manual effort.

Data-driven insights for admissions and student support

As interactions grow, the assistant can surface patterns in questions and behavior. These insights help universities understand where support is needed most and act proactively, using real data instead of assumptions.

A scalable path forward

Built on an agentic AI foundation, the assistant can evolve incrementally without rebuilding the system. This allows WUAS to expand functionality responsibly, in line with institutional priorities and data governance.

Functionality

Guided AI communication

A conversational assistant embedded in the WUAS website that guides applicants and students through admissions and program discovery.

Content-grounded answers

Responses are based on official WUAS pages and documents to ensure accuracy and relevance.

Automatic content updates

Answers stay aligned with website changes as content is updated.

Context-aware conversations

The assistant maintains context within a single dialogue for coherent responses.

Focused topic scope

The assistant responds only to WUAS-related questions.

Configurable tone of voice

Communication style matches university standards.

Content access control

Administrators decide which information the assistant can reference.

Navigation guidance

Users are directed to relevant pages, forms, or contacts when appropriate.

Enrollment, retention, and engagement depend on timely, guided communication.

Let’s create an agentic AI system that supports these goals across your institution.

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