NON-SPECULATIVE AI · VERIFIED GROUNDING DEMO

AI Support That Answers From Facts, Never Guesses.

Experience an autonomous support agent built on verifiable citations, strict two-tier guardrails, transparent safe abstention, and seamless human escalation.

Interactive Support Agent Demo

Test real customer inquiries against verified client stores (Fernhollow Goods, Aether Wear, Nordic Roast). Inspect citation drawers, preview responsive device viewports, or expand into the full workspace.

Client Brand:
M
MaxFernhollow Goods

Customer Support Specialist

Max · 04:18 PM Grounded

Hello! I'm Max, your customer support assistant for Fernhollow Goods. I can help with order tracking, shipping policies, returns, refunds, or product care. How may I assist you today?

Try a verified client question:
Grounded in verified Fernhollow Goods policiesConservative similarity floor · Zero creative hallucination
Non-speculative AI: Grounded in official documentation for Fernhollow Goods (10 verified excerpts).
Simulated handoff mode (Zendesk, Gorgias, Slack available)
Verified Capabilities

Built for Certainty, Not Creative Writing

Every feature below is implemented, tested, and actively functioning in this demonstration.

Interactive Citations

Every answer carries verified source pills showing the exact article name and page number. Customers and operators can inspect the grounded passage in one click.

Safe Abstention Protocol

When a question falls outside documented policies or below our similarity floor, the agent refuses to speculate and offers to connect with human teammates.

Deterministic Escalation

Triggers on explicit user requests, sensitive topics (fraud/chargebacks), or repeated failed turns, packaging full conversation summaries into structured tickets.

SSRF-Safe Ingestion

Crawler blocks private IP addresses (RFC1918), cloud metadata endpoints, and non-HTTP protocols across every redirect hop with a strict 10-second timeout.

Operator Trace Inspector

Live debug trace reveals latency (ms), retrieved chunk cosine similarity scores, and active system prompt rules for complete operational transparency.

Central Config Architecture

Business identity, brand voice, operating hours, policies, and escalation thresholds live in one typed schema, enabling rapid client deployment without code rewrites.

Development Lifecycle

How xFlow Delivers Your Custom Agent

01

Knowledge

Ingest your help center, FAQs, PDFs, and API policies.

02

Configure

Define tone, brand personality, and strict negative guardrails.

03

Test

Run automated regression suites and edge-case verification.

04

Customize

Integrate with Zendesk, Gorgias, Shopify, or WhatsApp.

05

Deploy

Embed lightweight widget on your site with live monitoring.

Trust Disclosures & Technical Limitations

This demonstration uses sample policies for a fictional merchant (Fernhollow Goods). Human handoffs and support ticketing are simulated within the interface and do not notify an active support queue. In production client builds, xFlow connects to your live ticketing APIs. We do not claim unqualified 100% accuracy; instead, our architecture enforces conservative retrieval cutoffs so the agent safely abstains or escalates whenever confidence is below verified thresholds.

Ready for a Custom Support Agent?

We design, test, and deploy bespoke AI support systems tailored to your catalog, policies, and ticketing software.