Agentdesk
Branded AI chatbot with RAG over your docs and a clean human handoff
Agentdesk is the answer when a customer asks for "the ChatGPT, but trained on our help center, our product docs, our policies — and we want to put it on our site under our brand by next month." It is a multi-tenant chatbot with retrieval-augmented generation over a customer-private corpus, a deflection-rate analytics dashboard the support team will actually look at, and a clean handoff to a human when the bot is not enough.
Key features
- Drop-in chat widget themed to match your site (no iframe, no third-party banner)
- Document ingestion from URL, PDF, Notion, Google Drive, and HelpScout
- Retrieval-augmented generation over customer-private docs (pgvector)
- Multi-LLM gateway (Claude default, OpenAI fallback, swappable per tenant)
- Conversation analytics with deflection rate, CSAT, and topic clustering
- Human handoff into your existing support tool (Helpbridge, Zendesk, Intercom)
- Per-message cost tracking with per-tenant billing rollups
- Response guardrails and a never-answer list configurable per knowledge base
Architecture
Built on the AI-Native SaaS Stack.
What you get
Agentdesk launches as a multi-tenant SaaS under your brand. Customers paste a single script tag onto their site, complete document ingestion in their first session, and start deflecting tickets the same day. The widget is themeable end-to-end — no third-party logo, no “powered by” banner.
Sample customer story (placeholder — illustrative only)
A 90-person edtech company licensed Agentdesk to handle the long tail of “how do I reset my password / where do I download my certificate / why did my charge appear twice” questions that took up 60% of their support inbox. After two weeks of live operation, deflection rate stabilized at 47% and the support team’s median response time on the remaining 53% dropped from 14 hours to under 2 — same headcount, focused on harder questions.
What’s NOT included
- Outbound proactive messaging. Agentdesk is reactive — visitors initiate the conversation. If you need rule-triggered proactive prompts (Intercom-style), that’s a paid customization.
- Voice (TTS / STT). Text and chat only. Voice is on the AppLiaison roadmap but not in the current box.
- Customer-trained models. RAG over customer-private docs is in. Fine-tuning a model on a customer’s data is a paid engagement that runs on a different timeline.
- On-prem inference. Agentdesk runs against the LLM gateway, which calls hosted Claude / OpenAI. Fully on-prem is doable but is a license-only, paid-engagement path.
- A/B testing of agent personas. A single tone/persona configuration ships per tenant. Multi-variant testing of personas is on the roadmap.
Whitelabel surfaces
| Surface | Themeable | Custom domain |
|---|---|---|
| Chat widget on your site | yes | n/a (script-tag drop-in) |
| Admin web app | yes | yes |
| Email digests | yes | yes (sender domain) |
| Webhooks | yes | yes |
| Slack and Teams app | yes (logo + name) | n/a |
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