Skip to main content
Praxikon

AI System Intake Form

Questionnaire for suppliers when procuring AI

Use this form to request essential information from AI system suppliers. This helps assess risks, compliance and suitability.

Instructions for use:
  • Send this form to the supplier prior to procurement
  • Request written answers with substantiation
  • Use the answers for risk assessment and decision-making
  • Keep completed forms as part of documentation

A. General Information

Basic information about the system and supplier

A1

Name of the AI system

A2

Name of supplier / developer

A3

Country of supplier

A4

Version number of the system

A5

Intended purpose / use case in government

A6

Contact person supplier (name, email, phone)

B. Technical Specifications

Details about operation and architecture

B1

Type of AI technology (rule-based / machine learning / deep learning / LLM / other)

B2

Describe how the system generates decisions/output

B3

What data was the model trained on? Describe the training data.

B4

What are the measured performance indicators? (accuracy, precision, recall, etc.)

B5

Is the model further trained after implementation (continuous learning)?

B6

Where does the system run? (on-premise / cloud / hybrid)

B7

If cloud: which cloud provider and in which region are the servers located?

C. Data & Privacy

Data processing and privacy aspects

C1

What data does the system receive as input?

C2

Are personal data processed? If so, which categories?

C3

Are special categories of personal data processed? (health, ethnicity, religion, etc.)

C4

How long is data retained?

C5

Is data shared with third parties? If so, with whom?

C6

Is a DPIA (Data Protection Impact Assessment) available?

C7

How is data security guaranteed? (encryption, access control)

D. Bias & Fairness

Measures against discrimination and unfair outcomes

D1

Have bias tests been conducted on the model? If so, describe the results.

D2

Which protected characteristics were tested? (age, gender, ethnicity, etc.)

D3

What measures have been taken to mitigate bias?

D4

Is the system monitored for discriminatory outcomes after implementation?

E. Explainability & Transparency

How understandable is the system?

E1

Can the system explain why a particular output was generated?

E2

How is explanation provided? (feature importance, decision path, etc.)

E3

Is the explanation understandable for non-technical end users?

E4

Is documentation available about the operation of the model?

F. Human Control

Possibilities for human oversight and intervention

F1

Can users override the system output?

F2

Is there a "kill switch" to immediately disable the system?

F3

How are deviating decisions by human operators logged?

F4

Which roles/functions have access to the system?

G. Maintenance & Support

Support, updates and service levels

G1

What is the availability guarantee (SLA)?

G2

How often are updates/patches rolled out?

G3

How is the client informed about changes?

G4

Is 24/7 support available? If not, what are the support hours?

G5

What is the process for failures or incidents?

H. Compliance & Certification

Compliance with regulations and standards

H1

What is the supplier's role under the AI Act (provider, importer or distributor), and does the system fall under Annex III? Explain the classification.

H2

What certifications does the supplier have? (ISO 27001, SOC 2, etc.)

H3

For a high-risk system: are the EU declaration of conformity (Article 47), the instructions for use (Article 13) and the registration in the EU database (Article 49) available? The Annex III obligations apply from 2 December 2027.

H4

How does the supplier inform you about changes to the system and to the law, and does it provide what you need as a deployer for Article 26 and, for a public body, the fundamental rights impact assessment under Article 27?

I. Documentation

Available documentation and resources

I1

Is technical documentation (model card / system card) available?

I2

Is a data sheet about the training data available?

I3

Is audit documentation available?

I4

What additional documentation can be provided?

Editable in Word and Excel

The public sector pack contains the AI procurement checklist for public bodies, the FRIA template, the DPIA template for AI and the AI register with classification, with the law as of 6 October 2026. The pack is sent to your business email address.

FRIA template (Article 27) · AI procurement checklist for public bodies · Annex III classification check

Disclaimer: This form is a tool for AI procurement, not legal advice. Have procurement, legal, the DPO and IT assess the answers together.

Based on Regulation (EU) 2024/1689 as amended by Regulation (EU) 2026/1744, and the GDPR.

As of 6 October 2026