A subscription box company gets 300 emails every Monday asking when orders ship. The support team spends four hours writing the same answer with slight variations. They upload their shipping policy PDF to Chatisto, and the AI starts answering these questions immediately. The system scrapes their website in seven minutes, indexes 247 pages, and pulls in their 45-page product manual. When someone asks about delivery times, the AI responds with exact policy details instead of generic reassurances.
An online course creator runs a Discord community where students ask about refunds, course access, and technical issues at all hours. She's in Seattle, but students message from Tokyo at 3am her time. Chatisto's AI handles the straightforward questions about password resets and course structure. When a student describes a complex billing dispute, the system hands the conversation to her through the unified inbox. She sees the full thread. The AI resolved 82% of conversations without her involvement.
The conversation flow builder matters for teams with conditional logic. A SaaS startup routes customers differently based on whether they're asking about bugs, billing, or features. They build flows with seven node types including webhooks that ping their engineering Slack channel when someone reports a crash. The AI doesn't guess at answers because the hallucination guardrails filter out responses that can't link back to uploaded documentation. When the AI doesn't know something, it says so and offers human handoff.
Chatisto pulls emails from Gmail, Outlook, and IMAP into one inbox alongside web chat messages. A team of three people shares the $29 monthly cost instead of paying per-seat pricing that'd run them over $200 elsewhere. They customize the AI's personality through system prompts so responses match their brand voice. Analytics show average response time dropped to two minutes.
The rich text editor lets support reps add emojis and attachments when they jump into conversations. Real-time team messaging means they coordinate handoffs without switching apps. The system indexed 32 articles from their FAQ during setup without manual entry.
File uploads accept PDFs, Word docs, and spreadsheets up to 500MB. A manufacturing company uploads CAD file documentation and safety protocols. The AI learns this material and answers technical questions about product specifications. When customers ask about custom orders outside standard specs, the system routes these to the sales team.
WordPress and Shopify integrations embed chat widgets directly. React and Next.js components let developers customize the interface. HubSpot syncs customer data so the AI sees purchase history before responding.
Chatisto breaks for teams needing advanced ticketing features like SLA tracking or multi-department routing with complex approval workflows. There's no mobile app, so checking conversations means logging into the web dashboard. Companies with thousands of daily conversations might hit limitations around conversation threading or reporting granularity that enterprise platforms provide.
The pricing works for small teams tired of calculating per-agent costs as they grow. A seven-person support team pays $29 total. But companies already locked into enterprise contracts with established workflows won't find enough differentiation to justify switching costs.
Teams handling support in languages beyond common ones should verify accuracy before relying on automated responses. The AI works from uploaded documentation, so companies without written policies or product docs can't train it effectively. You need actual content to feed the system.
