Quickchat AI

Quickchat AI was founded in 2018 and is a Y Combinator Summer 2018 batch member, positioned as an AI support agent platform for SMBs and the mid-market. Its core pitch is "AI Agents that resolve support and sales conversations, not just reply" — not merely replying, but genuinely resolving support and sales conversations.

Feature-wise, the no-code builder creates agents conversationally with custom personality, rules, and models; the knowledge base imports websites, PDFs, Shopify, and other sources, with in-house RAG and reranking to reduce hallucinations; AI Actions let agents call APIs to perform real operations such as checking orders, issuing refunds, and updating CRMs; multichannel deployment covers websites, WhatsApp, Slack, Zendesk, HubSpot, and more; the Inbox supports human takeover and escalation rules; auto-replies work in 100+ languages; "Why AI Said That" provides full traceability for every answer; plus GDPR compliance and EU data residency.

Fit includes SMBs with an existing helpdesk, Shopify e-commerce teams, global B2B SaaS, and digital agencies. Pricing is freemium, with the Enterprise tier billed per outcome from $0.50/resolution, officially positioned as a cheaper alternative to Intercom Fin and Agentforce. Drawbacks: OpenAI models only, and lower tiers carry tight seat and knowledge-base limits.

Core features

• No-code builder: create support/sales agents conversationally with custom personality, rules, and models
• Knowledge base RAG: import websites, PDFs, Shopify, and other sources; in-house reranking reduces hallucinations
• AI Actions: call APIs to check orders, issue refunds, open tickets, update CRMs, and more
• Multichannel deployment: websites, WhatsApp, Slack, Zendesk, HubSpot, and other channels
• Inbox human collaboration: human takeover preserves context, with escalation rules and topic routing
• Answer traceability and multilingual: auto-replies in 100+ languages, Why AI Said That full traceability

Pros

• Transparent per-outcome billing at $0.50/resolution, no upfront fees, costs grow with successful outcomes
• Fully traceable answers (Why AI Said That), serving both audit value and quality improvement
• Fast no-code onboarding, channel-agnostic layered deployment, no need to migrate your existing helpdesk
• A genuinely usable permanent free plan (no credit card) lowers the evaluation barrier

Cons

• Lower tiers are clearly limited: 1 seat and a 50-300 article knowledge-base cap; team use starts at $299
• OpenAI GPT-series models only; no switching to Anthropic/Gemini and others
• Agents hard-stop replying when AI Credits run out — traffic spikes can take it offline abruptly
• Key numbers like the 94% resolution rate are mostly vendor-reported, with few independent evaluations