Your Company Data Is Already in Someone Else’s AI

AI is already helping your team – whether you know it or not. But who controls the data?
How can you give your team a convenient AI tool while still keeping control over confidential information?
How can you reduce GDPR risks when employees are already using AI at work?
Can the knowledge and experience of an employee who is leaving the company be preserved in the company’s AI so that the rest of the team can continue using it?

Contracts, client emails, internal reports – what happens to them when employees upload them to personal AI chats? During the webinar, using Amazon Quick as an example, we will show how to combine the benefits of AI with demonstrable control over company information.

▶ LIVE DEMO: See how to protect your company from AI risks in practice

Not just theory: in a 15-minute live demonstration, Parascovia Digori, EMEA Partner Solutions Architect for Amazon Quick at AWS, will show Amazon Quick in action: how to set it up and run your first tasks on real SMB use cases, while making sure employees get answers only from the documents they are authorized to see, company data stays under your control and is not used to train AI models, and every request is logged for clients and auditors.

What we will cover:

1. How can you regain control over your data if employees are already using personal AI chats?

• Which everyday employee actions put the confidentiality of contracts, client information, and internal documents at risk.
• Why banning AI does not solve the problem.
• How to provide the team with a convenient work tool whose use can be controlled by the company.

2. How can you protect contracts and client data used by AI?

• How to check where your data is stored and processed, and who can use it.
• How to make sure that company information is not used to train AI models.
• What data isolation, encryption, and the choice of data storage region provide – using enterprise AI as an example.

3. How can you prove to a client or auditor that the use of AI is under control?

• How to restrict access so that employees receive answers based only on the documents they are authorized to see.
• Which reports and usage logs can help demonstrate control over AI during audits.
• Which settings and logs can help demonstrate control over data during audits.

4. An employee has shared personal data with AI – what is the company responsible for, and how can GDPR risks be reduced?

• What risks arise when client and employee data is handled through personal AI accounts.
• What needs to be considered if personal data is transferred outside the EU.
• What should be checked in the AI tool, its settings, and its usage policies in order to reduce the risk of violations.

5. How can you reduce routine work and preserve company knowledge when employees leave?

• How to speed up contract reviews and the search for answers in internal policies – we will show this through practical examples.
• How to automate regular summaries, digests, and meeting preparation.
• How to make accumulated knowledge and client-related expertise available to the team through a shared knowledge base with access controls.

6. Live demo (15 min): Amazon Quick in action, with company data under control

• Presented by Parascovia Digori, EMEA Partner Solutions Architect for Amazon Quick at AWS.
• Setting it up: connecting company documents and the tools your team already uses, with access rights so that each employee gets answers only from the documents they are allowed to see.
• Running first tasks: reviewing a contract and finding answers in internal policies in seconds.
• A few real SMB use cases.
• Under the hood: where the data is stored and processed, how it is encrypted, how to confirm it is not used to train AI models.

7. How can you choose the right AI for your company’s needs and understand what budget is required to get started?

• Six questions that will help you compare enterprise AI tools based on criteria that matter to the business.
• What determines the cost, what is required for a pilot, and which steps need to be completed before launching the solution for the team.

Event time: 10:00-11:30

Registration: https://forms.cloud.microsoft/e/bHAaR46sBg