AI in Customer Care

Here are some lessons from my last AI project for Customer Care Automation.

Plan First

• Define KPIs and link them to your OKRs. Start measuring them before the AI rollout to track progress, test changes, and calculate ROI.

• Involve your Customer Care team from day one. Explain the difference between digitizing processes and optimizing them with AI. Guide the team toward optimization.

• Choose AI features built into your existing platforms or from established tech providers. Avoid early-stage vendors to reduce risk.

• Use AI to support, not replace, agents. Add tools for interaction summaries, sentiment analysis, and intelligent suggestions.

  Deploy Smart

• Maintain high data quality and reliable access. Use clear integration plans to remove data silos.

• Address security and compliance risks, including GDPR, with dedicated measures.

• Keep your knowledge base complete, updated, and aligned with real customer needs.

• Fine-tune models early to reduce ticket misrouting and misclassification.

  Keep Improving

• Train agents regularly to use AI effectively.

• Improve AI models and processes step by step using real feedback.