For IT, deans & decision-makers

Security, data privacy & architecture of TalkWise AI

TalkWise AI is built for universities and institutions that care about data protection. This page explains how we store data, who can access it, and how the system is structured.

Simple, honest explanations – no marketing buzzwords.

1. High-level overview

Each college / institution has its own logical space in the database – no mixing of data between institutions.

Student questions and AI answers are stored as conversation logs so your staff can review and audit responses.

AI answers are grounded in the documents you upload (admissions guide, regulations, department info), not random internet content.

Messaging apps like WhatsApp are used only as channels. The logic, files, and configuration live in your TalkWise AI workspace.

2. How we store your data

Structured data (database)

We use secure cloud database technology as the main data store. Each college has its own collections and documents (e.g., departments, conversation logs, messaging configuration, wallet and billing records). Access is limited by role-based rules in the backend.

File storage (documents)

Your PDFs and other documents are stored in encrypted cloud storage. Each file is linked to a specific college and (optionally) department. These files form the knowledge base used by the AI.

AI processing (language understanding)

TalkWise AI uses advanced language models to understand questions and generate answers. The models receive the question plus relevant text snippets from your documents and return a suggested reply. We do not sell or share your content for advertising or public training.

Messaging channels

Messaging platforms such as WhatsApp are used solely to send and receive messages with students. The business logic, routing, and stored data stay inside TalkWise AI.

In simple terms: TalkWise AI stores your data in secure cloud infrastructure per college. Messaging platforms and AI models process content but do not become owners of your institutional data.

3. Access control & logs

We design TalkWise AI assuming that universities and institutions need clear boundaries and audit trails.

Roles & permissions (example)

TalkWise platform administrators: manage infrastructure and support, but do not need to see your student conversations unless you explicitly grant access for support. • College admin: can upload documents, configure messaging channels, see analytics, and review conversation logs. • Staff / reviewers: can review and search conversations, but cannot change billing, wallet, or system-level settings.

What this means in practice

Each institution’s data is logically separated by a unique college identifier in the database. • Conversation logs include timestamps and basic metadata, so you can audit what students asked and how the AI answered. • No cross-institution search: a college cannot see another college’s conversations or files.

4. Infrastructure & AI models

TalkWise AI is built on top of modern cloud infrastructure and enterprise-grade AI models. This section explains, in simple terms, how they are used.

Cloud hosting & database

We use reputable cloud infrastructure providers for hosting the application, database, and storage. Data is stored in professionally managed data centers with strong physical and logical security.

AI models

TalkWise AI uses advanced AI models to understand student questions and to generate answers. The models receive only the necessary text (question + relevant snippets from your documents) to provide a response.

Messaging integrations

TalkWise AI connects to messaging platforms (such as WhatsApp) using official APIs. These channels are treated purely as transport layers to deliver messages between students and your AI assistant.

Dashboards & analytics

Your staff access TalkWise AI through a secure web dashboard with role-based permissions. From there, they can review logs, upload documents, and monitor usage.

If your IT team needs more detailed information about data flow and sub-processors, we can provide a separate technical summary or answer specific questionnaires.

5. Data retention & deletion

Conversation logs: stored so your team can review, search, and improve answers. Retention can be adjusted according to your institution’s policy (for example, keeping logs for a defined number of months).

Uploaded documents: kept as long as your college uses TalkWise AI, unless you explicitly delete them from the dashboard.

Manual deletion: college admins can remove files or request removal of a college’s workspace (files + logs) if needed.

Backups: like most cloud systems, there may be short-term backups at infrastructure level to ensure reliability and disaster recovery.

If your institution has strict requirements (for example maximum retention periods or regional hosting), we can discuss and configure a setup that fits your policy.

6. Quick checklist for IT teams

Here is a short list you can use in internal discussions or security reviews.

Need a security summary or NDA?

If you need a short PDF for your dean, IT department, or legal/compliance team, we can provide a summary describing TalkWise AI’s architecture, data flows, and security measures.