We stopped renting a help desk.
We own one now.
One in-house platform now runs support for two client products — help centers, AI answers grounded in our own documentation, and the team's full ticket desk. Every number on this page is pulled live from the production system, right now.
Watch the whole platform, recorded live.
No mockups, no editing tricks — screen recordings of the deployed products answering real questions with real data. Press play, fullscreen for detail.
What changed for the team.
Before — manual era
- Every question answered by hand, ~30 min each
- Knowledge trapped in individual inboxes and heads
- No visibility: response times and backlog untracked
- Standard fix: buy a help desk at per-agent monthly fees, forever
- Docs gaps discovered only when a client escalated
After — with CC-RAGOS
- AI answers routine questions instantly, cited from our docs
- 98% of tickets responded, every state tracked live
- Dashboard shows latency, SLA aging, and workload per agent
- $0 per-agent fees — the platform is ours, on free-tier infra
- Every unanswered question auto-logged as a documentation gap
What the alternative costs.
A conventional help-desk suite charges per agent, per month, forever — and the AI add-ons cost extra. Ours runs on free-tier cloud plus roughly $20/month of LLM usage.
| Option | Cost / year | AI answers | Data ownership |
|---|---|---|---|
| Zendesk Suite Team$55 / agent / mo | $— | Add-on, extra fee | Their cloud |
| Intercom Advanced$85 / agent / mo + $0.99 per AI resolution | $— | Metered per answer | Their cloud |
| CC-RAGOSself-hosted · free-tier infra + LLM usage | ~$240 | Included, unlimited | Fully ours |
The gap widens every time the team grows: seat fees scale with headcount, our cost doesn't.
The people using it, in numbers.
Every rated answer in the docs assistant received a thumbs-up from the client's own tech team — zero downvotes on record.
From how do I build a plugin?
to postal-code validation rules — answered
with citations from our documentation, not guesses.
Support hours the AI has already given back to the team — time now spent on the tickets that actually need a human.
Reports on demand, in plain English.
The platform exposes its data through an MCP server — so anyone with access can ask Claude for a custom report and get an answer composed from live support data. No BI tool, no export, no waiting on an analyst.
Don't take the page's word for it.
Everything below is the production system serving real users today.