Chatsy is deploy intelligent agents that call APIs and solve problems. Plus built-in knowledge base, ticketing & mailbox - the complete support platform.
Deploy intelligent agents that call APIs and solve problems. Plus built-in knowledge base, ticketing & mailbox - the complete support platform.

Businesses need AI support agents that actually do things — not just answer questions. Chatsy deploys intelligent agents that take action, call APIs, and solve problems, with a full support platform behind them.
AI agents that call APIs and execute actions — not just answer questions. Solve real problems automatically.
Knowledge base, ticketing, mailbox, and live chat with human takeover — all in one platform.
Choose from 15+ AI models to power your agents. Real-time data sync from your website and docs.
AES-256 encryption, TLS 1.3, GDPR compliant. OAuth2 integrations for custom actions.
Operational pitfalls we see in products shaped like this. Worth planning for up front.
Switching the underlying LLM (GPT-4 → Claude → Gemini) breaks prompts silently — argument formats drift. Pin the model per deployment and only bump versions behind a staging test suite.
A site redesign that moves URLs silently empties the crawl index; the AI starts answering "I cannot find that." Re-run the crawler and diff page counts after every major content release.
When a human joins mid-conversation, agents scroll past the system context and miss what the AI already tried. Surface the AI scratchpad in the takeover UI, not just the message history.
We would rather help you rule this out now than waste a trial.
If AI answers are off the table (regulated health/finance triage, legal advice), you should pay for Zendesk or Help Scout, not a platform whose value prop is agentic AI with tool calling.
At that volume, a shared inbox and a FAQ page beats any AI-support setup. Chatsy pays off when deflection matters — hundreds of tickets weekly where the AI can actually cut load.
The "agents take action" pitch depends on OAuth2 calls into your billing/order/CRM systems. If you cannot expose any backend API, you are paying for a glorified chatbot.
Chatsy is built with a modern, production-proven technology stack chosen for performance, scalability, and developer productivity.
Need something similar? We offer these services to help you build your own product.
Dive deeper into the technologies, strategies, and insights behind Chatsy.

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Learn moreHonest side-by-side on who each alternative actually fits, with real pricing and the biggest trade-off.
| Alternative | Best For | Pricing | Biggest Gotcha |
|---|---|---|---|
| Intercom Fin | Mid-market SaaS teams already on Intercom who want AI deflection bolted onto existing conversations | Fin runs $0.99 per resolution on top of Intercom seats ($39–$139/user/mo) | Per-resolution pricing gets expensive fast at scale (10k resolutions/mo = $9,900 in Fin alone). Tool-calling to external APIs is limited compared to an agentic-first platform. |
| Zendesk + Zendesk AI | Larger support orgs that need macros, SLA routing, and omnichannel before adding AI | Suite Team $55/agent/mo up to Suite Enterprise $169/agent/mo; AI add-on $50/agent/mo | AI deflection quality trails agentic tools; real action-taking (refunds, order updates) still requires custom Zendesk app dev. Pricing is per-agent, not per-resolution. |
| Crisp or Tidio with AI add-ons | SMB e-commerce and service sites wanting a chat widget with light AI | Crisp Pro $25/mo (4 seats); Tidio Growth $49/mo plus Lyro AI $39/mo | AI is answer-only — no real tool-calling into your billing/CRM. Fine for FAQ deflection, weak for anything requiring an API call to resolve. |
| DIY with LangChain/LangGraph + OpenAI + Postgres | Engineering teams that want full control over the agent stack and data residency | OpenAI tokens ~$0.01–$0.05 per conversation + Pinecone/pgvector hosting + ~200–400 eng hrs for v1 ($20k–$40k at $100/hr) | You own the evals, safety rails, tool schemas, and regression testing. Production-grade agent systems need a dedicated engineer — not a side project. |
Below ~80 tickets per week, a shared inbox and a good FAQ page beats any AI support setup — Chatsy is over-scoped. Between 500 and 2,000 tickets/month, a realistic 40–60% deflection rate through agentic tool-calls saves 2–3 full-time support hours per day ($3,600–$5,400/mo at a $30/hr loaded agent rate) — even the mid-tier Chatsy plan clears break-even inside the first week of the billing cycle. Versus Intercom Fin at $0.99/resolution, handling 5,000 monthly resolutions on a flat Chatsy plan saves $3,000–$4,000/mo in per-resolution fees alone. A DIY agent build only pays off past roughly 18 months of stable requirements, assuming you already have a full-time engineer to own the platform.
Deploy intelligent agents that call APIs and solve problems. Plus built-in knowledge base, ticketing & mailbox - the complete support platform.
Businesses need AI support agents that actually do things — not just answer questions. Chatsy deploys intelligent agents that take action, call APIs, and solve problems, with a full support platform behind them.
Chatsy is built with Next.js, TypeScript, OpenAI, PostgreSQL, Redis.
Chatsy was built and is operated by ZTABS, a custom software development company. Learn more at https://ztabs.co/products/chatsy.
Yes — we bring the same engineering and product thinking to every client project. Contact us at ztabs.co/contact for a free consultation.
We bring the same engineering excellence and product thinking that went into Chatsy to every client project. Let's discuss your idea.