Priya's Wednesday, two ways

Priya, a data protection officer at a mid-sized health tech company.

Priya starts her Wednesday with 47 unread emails. Three are data subject requests: one access, one deletion, one objection. She opens ChatGPT and uses the prompt from the Data Subject Requests lesson. She pastes the three requests, asks the AI to sort them by type and deadline, and to draft a response template for each. In minutes, she has a clear plan.

Next, her manager asks for a quick summary of a new state privacy law. Priya opens Claude and uses the Compliance Monitoring prompt. She asks it to turn the law's key points into a checklist for their team. The AI highlights three areas they need to update. Priya checks the law text herself to confirm.

After lunch, a new marketing tool that uses AI needs a privacy review. Priya uses Gemini and the Impact Assessments prompt. She describes the tool and asks for a DPIA outline with privacy risks and mitigation ideas. The AI gives her a solid draft. She adds her own notes about consent and data retention.

By 3 p.m., Priya has finished the requests, the checklist, and the DPIA draft. Normally this would take her until late evening. She uses the extra time to coach a junior team member on vendor reviews. Then she leaves on time to pick up her daughter from soccer practice.