AI is no longer experimental in customer service, it’s the standard.
Implement a structured knowledge base, prioritizing FAQs, onboarding guides, and troubleshooting content, so your AI agents can answer accurately and reduce manual support.
Map your existing support content to identify gaps, then create a prioritized backlog of FAQs, onboarding guides, and troubleshooting articles for your AI agent.
Summary
82% of senior leaders invested in AI for customer service in the last 12 months, and 87% plan to invest in 2026. AI‑first customer service offers 24/7 availability, multilingual support, major time savings, and efficient resolutions, but the unsung hero is knowledge management.
Fin’s Recommendations surface gaps from real conversations, while Intercom’s Knowledge Hub centralizes content and allows content targeting for AI agents. Building a knowledge base includes FAQs, onboarding guides, troubleshooting, internal docs, and blogs, and identifying gaps such as missing steps, unclear policies, and outdated features is essential.
Continuous updates and processes keep content aligned with policy and product changes. A 30‑minute article can save hours for reps and customers, generating data for further improvement, and the two‑phase approach—build the base, then manage and optimize—ensures compounding ROI.
Key changes
- 82% of senior leaders invested in AI for customer service in the last 12 months
- 87% plan to invest in 2026
- AI agents require accurate, up‑to‑date knowledge; Fin’s Recommendations surface gaps from real conversations
- Intercom Knowledge Hub centralizes content and enables content targeting for AI agents
- Building a knowledge base includes FAQs, onboarding guides, troubleshooting, internal docs, and blogs
- Identifying gaps such as missing steps, unclear policies, and outdated features is essential
- Continuous updates and processes keep content aligned with policy and product changes
- A 30‑minute article can save hours for reps and customers, generating data for further improvement