Science and higher education
AI for research, academic administration and protected knowledge resources
Why now
Science and higher education organizations work with regulated processes, sensitive information and decisions that must remain explainable. Generic public chatbots do not provide enough control over data location, model routing, audit evidence or human oversight. SAIE gives the organization a controlled way to use AI in everyday work while keeping responsibility, knowledge and compliance inside the organization
Three people who need to say yes
Business owner — faster work on real operational processes
IT / security owner — data, access and model routing remain under control
Compliance owner — evidence, responsibility and audit trail are available from the start
Business scenarios
Knowledge assistant for research output and documentation
Area: Knowledge and documents
Problem: The organization needs knowledge assistant for research output and documentation without losing control over data, responsibility or audit evidence
How it works: TWIN:DESK supports the workflow in a controlled SAIE environment, uses organizational knowledge, keeps sensitive data under policy control and leaves approval with the responsible person
What you gain: Teams work faster, outputs are traceable, and the implementation can be explained to management, IT, compliance and auditors
Product: TWIN:DESK
Student assistant for rules and procedures
Area: Knowledge and documents
Problem: The organization needs student assistant for rules and procedures without losing control over data, responsibility or audit evidence
How it works: TWIN:DESK supports the workflow in a controlled SAIE environment, uses organizational knowledge, keeps sensitive data under policy control and leaves approval with the responsible person
What you gain: Teams work faster, outputs are traceable, and the implementation can be explained to management, IT, compliance and auditors
Product: TWIN:DESK
Comparison of interpretations from multiple models
Area: Quality and standardization
Problem: The organization needs comparison of interpretations from multiple models without losing control over data, responsibility or audit evidence
How it works: TWIN:DESK supports the workflow in a controlled SAIE environment, uses organizational knowledge, keeps sensitive data under policy control and leaves approval with the responsible person
What you gain: Teams work faster, outputs are traceable, and the implementation can be explained to management, IT, compliance and auditors
Product: TWIN:DESK
Local AI for protected research data
Area: Security and sovereignty
Problem: The organization needs local ai for protected research data without losing control over data, responsibility or audit evidence
How it works: PROXY:AI supports the workflow in a controlled SAIE environment, uses organizational knowledge, keeps sensitive data under policy control and leaves approval with the responsible person
What you gain: Teams work faster, outputs are traceable, and the implementation can be explained to management, IT, compliance and auditors
Product: PROXY:AI
Separated AI environments for university units
Area: Security and sovereignty
Problem: The organization needs separated ai environments for university units without losing control over data, responsibility or audit evidence
How it works: PROXY:AI supports the workflow in a controlled SAIE environment, uses organizational knowledge, keeps sensitive data under policy control and leaves approval with the responsible person
What you gain: Teams work faster, outputs are traceable, and the implementation can be explained to management, IT, compliance and auditors
Product: PROXY:AI
Transparent documentation of AI contribution to research work
Area: Compliance and oversight
Problem: The organization needs transparent documentation of ai contribution to research work without losing control over data, responsibility or audit evidence
How it works: PROXY:AI supports the workflow in a controlled SAIE environment, uses organizational knowledge, keeps sensitive data under policy control and leaves approval with the responsible person
What you gain: Teams work faster, outputs are traceable, and the implementation can be explained to management, IT, compliance and auditors
Product: PROXY:AI
AI governance and clear responsibility at a university
Area: Compliance and oversight
Problem: The organization needs ai governance and clear responsibility at a university without losing control over data, responsibility or audit evidence
How it works: CDF supports the workflow in a controlled SAIE environment, uses organizational knowledge, keeps sensitive data under policy control and leaves approval with the responsible person
What you gain: Teams work faster, outputs are traceable, and the implementation can be explained to management, IT, compliance and auditors
Product: CDF
Evidence
Local deployment option, controlled model routing and ISO/IEC 42001 governance foundation
Implementation scenarios based on SAIE capabilities available today and production deployments already delivered by allclouds.pl
How we start
Start with a demonstration for science and higher education, a Proof of Value on one process, or a ready offer configuration based on the scenarios selected in the wizard