The support agent that answers from your docs — and knows when to call a human.
Run a real ticket through it below — your words, your knowledge base. Watch it read the ticket, search your docs, and decide: answer instantly, or escalate with full context. It grounds every reply in what you gave it and refuses to invent. That guardrail is the whole point.
Own the agent (an n8n workflow) and run it yourself, or have us build it on your stack. 30-day money-back guarantee.
Run the agent · live
Your ticket. Your docs. Its decision.
Pick a scenario or type your own. Paste a few lines of your real help docs if you want — or just name your business and leave the docs blank: the agent will draft sample docs for it, then answer from them. (Your live build grounds on your real docs.)
Runs on fast edge AI for the demo. The build you commission runs Claude or GPT with real RAG over your full docs.
🤖 Identifies itself as AI to customers · EU AI Act (Art. 50) ready
🌐 One agent, every channel — 💬 chat · ✉️ email · 📱 WhatsApp · 📞 voice · 🌍 replies in the customer's language
Agent activity
Press “Run the agent” — its reasoning streams here, step by step.
Everything inside this agent
A complete product — not a chatbot
Six things this agent does for you — in plain English. You just watched every one of them run live above. No jargon, no surprises.
It knows your business
Answers from your real help docs — and never makes things up.
- · Uses your own help articles, policies and past answers
- · No docs yet? It writes a starter set from a line about your business
- · Shows the exact line each answer came from
- · If the answer isn't there, it says so instead of guessing
It does things, not just chats
Handles the routine tasks that fill up your inbox.
- · Looks up a customer's order, account or booking instantly
- · Books, cancels or resets — the everyday requests
- · Updates your helpdesk / CRM (Zendesk, HubSpot, Salesforce…)
- · Anything risky waits for a person to approve it first
- · Built so it can never do the same thing twice by accident
Safe in front of customers
The guardrails that stop an AI embarrassing your brand.
- · Hides card numbers & personal details before the AI sees them
- · Ignores anyone trying to trick it into breaking its rules
- · Checks who it's talking to before sharing private account info
- · Keeps a full record of every decision (great for audits)
- · Tells people they're talking to an AI (now required by law)
Works for any business
Ships with Governed Playbooks — your industry's rules, out of the box.
- · One agent, ready for 12 industries
- · Knows the rules for healthcare, finance, law, schools, property…
- · Adds the right disclaimers (e.g. "I'm not a doctor / lawyer")
- · Knows which questions must always go to a human
- · Each playbook bundles those rules + escalation triggers — versioned, so you can audit what changed
It keeps getting better — and proves it
You see the value, not just take our word for it.
- · Remembers questions it couldn't answer & suggests new help articles
- · Asks customers if the answer helped (👍 / 👎)
- · A live scoreboard: how much it handles, how happy people are
- · Learns from the edits your team makes
Always on, every channel & language
Covers your customers whenever and however they reach out.
- · Works on chat, email, WhatsApp and phone
- · Replies in the customer's own language, automatically
- · Covers nights & weekends — answers what it can, flags the rest
- · Greets returning customers like it remembers them
🧩 Want it tailored to your business?
Yes — we'll customize and set it up on your exact docs, tools and stack: your help center, your order system, your industry's rules. Tested and handed over ready to run. That's the done-for-you build (you can also start with a free pilot).
Live analytics · this demo's real decision log
It measures itself — provably
Every run above updates these counters live. Your build shows the same on your real tickets: deflection, CSAT, actions taken, and — crucially — the questions it couldn't answer, so you can close the gaps and the agent keeps getting better.
Customer satisfaction (CSAT)
The metric every renewal hinges on. Research: AI on routine tickets scores within ~0.2 of human, and the gap closes to near-zero with the human-in-the-loop escalation you saw.
📊 Knowledge gaps it surfaced (questions it couldn't answer → suggested articles)
None yet — try an out-of-scope question above to see the agent flag a gap.
Your numbers
What it's worth to your support team
Every routine ticket the agent grounds and answers is time your team gets back. Set your real volume — the numbers update live.
Median tier-1 deflection is ~41% (Zendesk CX Trends 2026); we model a conservative 30%. Fully-loaded tier-1 tickets cost ~$8; AI resolutions ~$1–2.
$23,400
saved per year
3,600
tickets auto-resolved / year
6 wks
until it has paid for itself
Real-world shape: a team taking 1,000 tickets/month, deflecting ~30%, gets back about 300 tickets a month of human time — and the build pays for itself in roughly 6 weeks. (Illustrative; your free pilot measures yours.)
$0.62 vs $7.40
AI vs human cost per ticket — a ~12× gap (McKinsey, 2026).
$3.50 per $1
Average return on AI customer service; top-quartile 8× (Fin.ai / Gartner).
30% → 67%
Deflection ramps as it learns — ~30% month 1 toward 55–67% by month 6 (Fin.ai benchmark).
Why this one is safe to put in front of customers
A governed agent — not a chatbot that bluffs
Answers only from your docs
Real RAG over your help center, policies, and past tickets. Every answer cites the source it grounded on. No source, no answer.
Refuses to invent
Below a confidence threshold, or when the docs don't cover it, the agent escalates instead of guessing. The gate is enforced in the workflow, not just asked of the model.
Sensitive tickets go to a human
Anger, threats, refunds disputes, security or data-loss — detected and routed straight to a person, untouched by the bot. No auto-reply on anything high-stakes.
Escalations arrive half-solved
When it hands off, the human gets an AI summary, the customer's intent, the relevant docs, and 2–3 draft replies to pick from — so they finish in seconds, not from scratch. Nothing is auto-sent.
Every decision is logged
Deflection rate, confidence, and outcomes go to a decision log you can audit — so you can prove the ROI and tune what gets auto-answered.
Lives in your helpdesk
Replies post back to Zendesk / Intercom / Freshdesk / email; escalations land in the right queue or Slack. Built on n8n, on your stack, idempotent and versioned.
That production discipline — idempotency, audit logs, a real escalation gate, evals before launch — is what separates an agent you can trust with customers from a demo that embarrasses you in week two. It's the same checklist we run on every build.
Own it vs rent it
The same governed design — without the forever-bill
The leading AI support platforms are genuinely good. They're also rented: per-resolution fees or enterprise contracts, every year, forever. This agent you own.
| What you're comparing | This agent | Intercom Fin | Decagon / Sierra |
|---|---|---|---|
| What it costs | $147 once (Core) or $2,497–$4,497 once (built for you) | $0.99 per resolution, forever — 3,600 resolutions/yr ≈ $3,564 every year | ~$95K+/year enterprise contracts |
| Who owns it | You — it runs on your n8n, your infrastructure | Rented — lives on their platform | Rented — lives on their platform |
| Grounded answers · refuses to invent | Yes — gate enforced in the workflow, source shown | Yes | Yes |
| Audit log of every decision | Yes — in your own Postgres, yours to keep | On their platform | On their platform |
| Where your customer data lives | Your servers — PII masked before the AI sees it | Their cloud | Their cloud |
| Best fit | SMBs & mid-market who want control without the subscription | Teams already on Intercom at scale | Enterprises with 6-figure CX budgets |
Competitor pricing as publicly reported, June 2026: Fin pricing per fin.ai; Decagon/Sierra contract ranges per published 2026 comparisons. Their products are good — the difference is the ownership model.
Questions, answered straight
Frequently asked questions
What do I need to run the $147 Core agent?
An n8n account (the free self-hosted version works) and an AI key (Claude or GPT). The included setup guide takes about 10 minutes — no coding. You plug in your help docs and it starts answering from them.
What's the difference between the $147 Core agent and the $2,497+ build?
Core is the same governed workflow, set up by you on your own n8n: grounded answers, safe escalation with draft replies, PII redaction. The done-for-you build is us setting it up on your real stack — your help center, your order system, your helpdesk write-back, plus testing on your real tickets before handover.
What happens when it doesn't know the answer?
It says so and hands the ticket to a human — with a summary, the customer's intent, the relevant docs, and 2–3 draft replies to pick from. It never guesses. That gate is enforced in the workflow itself, not just requested of the AI.
Will it make things up, like ChatGPT sometimes does?
No. Every answer must be grounded in a line from your docs, and it shows the line it used. If your docs don't cover the question, it escalates instead of inventing. That refusal-to-invent is the core design, and you watched it in the demo above.
How is this different from Intercom Fin, Decagon or Sierra?
Those are excellent — and you rent them forever. Fin charges $0.99 per resolution with no cap; Decagon and Sierra start around $95K+/year on enterprise contracts. This agent you own outright: it runs on your own n8n, your data stays on your infrastructure, and there are no per-ticket fees, ever.
Is my customer data safe?
Card numbers and personal details are masked before the AI ever sees them. The agent runs on your own infrastructure, not ours, and every decision is written to an audit log you control — which also keeps you ready for compliance reviews.
How long until it pays for itself?
At 1,000 tickets a month with a conservative 30% deflection, roughly 6 weeks — the calculator above uses your real volume. Deflection typically climbs from ~30% in month one toward 55–67% by month six as your knowledge base fills the gaps the agent flags.
What if it doesn't work for my business?
The $147 Core agent has a 30-day money-back guarantee, no questions asked. For the done-for-you build, you can start with a free pilot on one ticket type first — you see real deflection on your real tickets before paying anything.
Two ways to get it
From this demo to your helpdesk
Free pilot
We ground the agent on your most common ticket type and wire it to one channel — free, in a few days, on your stack. You run it and watch the deflection. Our only ask: if it works, a named testimonial.
Start a free pilot Complete buildCustomer Support AI Agent build
The full governed agent on your real docs: RAG, tone guardrail, escalation gate, helpdesk write-back, decision log + evals. Idempotent, audited, versioned — yours to own.
Where you land in the band: $2,497 = one channel, grounded on your docs · $4,497 = multi-channel + actions (lookups, bookings, resets) + CRM write-back + eval suite.
See the buildGet the Customer Support AI Agent (Core)
Prefer to run it yourself? Buy the n8n workflow — grounded answers, safe escalation + draft replies, card/PII redaction, a 10-minute setup guide. You own it; no per-ticket fees.
Get it on Gumroad — $147Give your team back the repetitive half of the queue.
You just watched it ground, answer, and escalate. Let's point it at your real docs — start with a free pilot, or book 15 minutes to scope it.