NetQnect AI Processing Notice

Draft status: for legal review before publication.

Effective date: 2026-05-03

Contact: legal@netqnect.com

1. About AI In NetQnect

NetQnect uses AI-assisted features to help with professional networking, profile creation, search, matching, event discovery, follow-up, relationship context and assistant workflows.

AI features support the user. They do not replace user judgement. Users should review AI outputs before relying on them or sharing them.

2. AI Use Cases

NetQnect may use AI for:

• profile and biography suggestions;
• AI Concierge chat and task assistance;
• contact, relationship and follow-up suggestions;
• search and matching;
• event attendee recommendations;
• event insights and networking suggestions;
• skill, interest and goal recommendations;
• embeddings for discovery, matching and retrieval;
• safety, debugging and service quality review.

3. Data Used By AI Features

Depending on the feature, AI processing may use:

• account and profile data;
• job title, organisation, biography, skills, interests, goals and public social links;
• Qnect activity, QR scans, connections and contact metadata;
• notes, reminders, tasks, opportunities and relationship context;
• event attendance, check-ins, organiser data and attendee metadata;
• assistant messages, prompts, generated outputs and feedback;
• technical logs, traces and safety metadata;
• connected-service data where the user or administrator has enabled an integration.

Users should not submit sensitive, confidential, unlawful or third-party personal data into AI features unless they have the right to do so and the processing is lawful.

4. Lawful Basis Matrix

The intended lawful-basis model is:

• User-requested assistant chat: contract, where the user asks NetQnect to provide the assistant feature.
• User-requested profile or bio generation: contract, where the user asks NetQnect to generate or improve profile content.
• Matching, recommendations, embeddings and relationship insights: legitimate interests, with transparency and objection controls.
• Security, abuse prevention, AI safety and debugging traces: legitimate interests.
• Non-essential AI improvement, model evaluation or training using identifiable user content: consent, unless legal review approves another lawful basis and the product implements the required controls.
• Legal, tax, regulatory or rights-request processing involving AI records: legal obligation where applicable.

The AI Lawful Basis Summary explains this model in more detail. The internal AI Processing Register and AI Legitimate Interests Assessments must be reviewed before launch and whenever AI processing changes.

5. AI Providers And Transfers

NetQnect may use third-party AI, embedding, hosting, database and infrastructure providers. AI providers may process data outside the UK or European Economic Area. NetQnect will use appropriate contractual safeguards where required.

The Subprocessors list provides current provider categories and purposes.

6. Profiling And Recommendations

NetQnect may use automated processing to suggest people, events, networking actions, profile improvements or relationship opportunities. These recommendations may use profile data, user settings, event context, connection history, embeddings, graph relationships and service activity.

These recommendations are not intended to make legal, employment, credit, housing, insurance, healthcare, financial or similarly significant decisions about users.

Users may object to non-essential profiling based on legitimate interests. NetQnect should provide a clear support route for objections and review requests.

If an AI output later affects access, pricing, eligibility, ranking with material impact or opportunity allocation, NetQnect must complete legal review and add any required human review, contest and opt-out controls before release.

7. AI Training And Improvement

NetQnect must not use identifiable user content for optional AI training or broad model improvement unless:

• the purpose is clearly disclosed;
• a valid lawful basis has been documented;
• consent is collected where consent is required;
• withdrawal is as easy as giving consent;
• data minimisation and retention controls are in place;
• processor terms allow the intended use;
• the use is included in the AI Processing Register.

8. Human Review

Users are responsible for reviewing outputs before acting on them. NetQnect should offer a support route where a user believes an AI-generated recommendation or output is materially wrong, unfair or harmful.

9. Special-category Data

NetQnect is not designed to collect special-category data for AI features. If a user submits special-category data or AI processing creates sensitive inferences, NetQnect may need an Article 9 condition or equivalent legal basis before using that data.

10. AI Governance Requirements

Before launch, NetQnect should maintain:

• an AI Processing Register;
• an AI Lawful Basis Summary;
• a Data Protection Impact Assessment for higher-risk AI processing;
• Legitimate Interests Assessments where legitimate interests is used;
• processor and transfer records;
• retention and deletion controls;
• user objection, deletion and access workflows;
• testing evidence for bias, accuracy, safety and data minimisation where relevant.