Blog
Practical notes on AI support and small-team operations.
Guides, product thinking, and support workflows from the Protodesk team.
10 AI auto-resolve examples for customer supportSee which support tickets AI can resolve safely, what source each answer needs, and when the workflow should hand the conversation to a human.The Protodesk team · August 26, 2026
AI auto-resolve implementation checklistA step-by-step checklist to scope eligible tickets, prepare knowledge, configure guardrails, pilot one intent, measure quality, and expand safely.The Protodesk team · August 26, 2026
AI auto-resolve vs chatbot: what is the difference?A chatbot answers in a conversation. AI auto-resolve is a helpdesk workflow that verifies a source, resolves a ticket, records the outcome, and escalates when rules fail.The Protodesk team · August 26, 2026
Knowledge base requirements for AI auto-resolveLearn how to structure, test, own, and maintain knowledge articles so AI can retrieve a complete answer and safely skip when the source is weak.The Protodesk team · August 26, 2026
Safe customer support automation: guardrails and rolloutA practical framework for automating customer support without automating sensitive judgment, unsupported answers, or broken handoffs.The Protodesk team · August 26, 2026
AI helpdesk for small teams: what to automate firstSmall teams should not start by automating every reply. Start with triage, sidekick drafts, and narrow auto-resolve workflows that reduce work without adding risk.The Protodesk team · June 27, 2026
AI helpdesk implementation checklist for small support teamsA practical rollout plan for AI helpdesk software: prepare the knowledge base, enable triage, add sidekick drafts, and pilot auto-resolve safely.The Protodesk team · June 27, 2026
AI helpdesk vs chatbot: what small teams actually needA chatbot answers in one surface. An AI helpdesk organizes the full support workflow: inbox, routing, knowledge, drafts, escalation, and safe resolution.The Protodesk team · June 27, 2026
Why we built ProtodeskEvery existing tool felt either too heavy for small teams or too basic to handle modern support. Here's why we decided to build another one anyway.The Protodesk team · April 19, 2026
The AI support stack: triage, Ticket Context, Suggest, auto-resolveThree AI layers, three jobs. Here's exactly how we architected each one — and what we learned about keeping AI honest.The Protodesk team · April 18, 2026
Pricing AI credits fairlyUsage-based pricing is honest, but it can be terrifying. Here's how we made AI credits predictable.The Protodesk team · April 17, 2026