How Preply combines AI and human tutors to personalize learning

Organizations that fail to automate routine administrative tasks risk losing talent to burnout and providing inconsistent customer experiences. By delegating repetitive documentation to AI, firms can redirect human expertise toward high-value interaction and nuanced problem-solving. A successful implementation creates a continuous feedback loop that increases user retention and long-term engagement. However, reliance on automated summaries requires human oversight to ensure that nuances in communication or cultural context are not misinterpreted by the model.

Preply shifted from manual lesson note-taking to an automated system where OpenAI models analyze transcripts to generate grammar, vocabulary, and pronunciation feedback. This transition allows tutors to focus on instruction rather than paperwork, while students receive immediate, actionable progress reports. While the system effectively structures data into personalized homework, it remains dependent on the initial quality of the transcript and learner consent for recording.

This week

• Audit current workflows to identify high-volume, repetitive tasks suitable for LLM-based automation.
• Establish clear data privacy and consent protocols for recording or processing customer interactions.

This quarter

• Deploy internal AI tools to specific departments to measure adoption rates and productivity gains.
• Integrate automated feedback loops into existing service offerings to improve customer satisfaction metrics.

This year

• Transition engineering workflows to AI-assisted coding to reduce time-to-market for new features.
• Scale successful pilot programs across global regions to standardize operational efficiency.