Your customers write at 11:47pm.HelpIQ replies at 11:47:18pm.While you sleep.
HelpIQ is the front-office AI agent that reads your knowledge base, your Shopify and your Stripe orders to reply directly to your customers, by email, WhatsApp, chat or Instagram. No transfer. No wait. No copy-paste from a dusty Notion.
- auto-resolved tickets
- 83%
- median first response
- 28s
- average CSAT
- 4.7/5
- cost per ticket
- -67%
Orders of magnitude the installation aims for; they are measured on your premises during the audit, on your volumes.

The customer writes at 11:47 pm. The reply leaves at 11:47 pm and 18 seconds.
Every reply is composed with the real order status, your size guide and your return policy, then checked by a guardrail before sending. These three exchanges are fictional; the mechanism is the one we install.
Starting assumption, to be replaced with your own figures during the audit: a ticket handled by a person costs about €7.80; a ticket handled by HelpIQ costs the infrastructure, €0.11.
Fully automated, nothing to manage.
Answers, doesn't route
Unlike chatbots that say 'an agent will get back to you', HelpIQ writes and sends the full reply: tracking number, return link, refund policy tailored to that specific customer case.
Connected to your real stack
Native webhooks for Shopify, WooCommerce, Stripe, Zendesk, Front, Gorgias, WhatsApp Business. HelpIQ checks order #4589 status in real time before replying, no generic small talk.
Brand & legal guardrail
Every reply passes a Python policy guardrail that blocks off-brand promises (refund >X EUR, impossible delays) and enforces the tone defined by your Head of Brand.
Live in days, not months.
- 01
Week 1-2, Audit & ingestion
Audit of your last 5,000 tickets, recurring-intent extraction, ingestion of T&Cs / FAQ / guides into pgvector.
- 02
Week 3-4, Wiring & shadow mode
Shopify / Stripe / Zendesk webhooks live, policy guardrail calibrated with your Head of Brand, shadow mode: HelpIQ proposes, human sends.
- 03
Week 5-6, Auto-send in production
Switch to auto-send on high-confidence intents (tracking, simple returns, FAQ). Real-time CSAT monitoring, weekly fine-tuning.
The pipeline behind this offer.
We plug the agent into the tools you already use.
Shopify
WooCommerce
Stripe
WhatsApp
Zendesk
n8n
Nothing to learn: we configure and operate these connections for you.
11:47pm on a Sunday. Marie opens her parcel for Saturday's wedding.
Marie just received her dress for next Saturday's wedding, but it's a size 38 instead of the 40 she ordered. She fires an angry message into your chat: 'This is unacceptable, I'm filing a complaint tomorrow.' Monday morning, your CX agent finds 47 similar tickets piled up. Three customers have already posted on Trustpilot. One cancelled a 340 EUR order. With HelpIQ, at 11:47:18pm, Marie got: 'Hi Marie, I'm so sorry about the size 38. I've generated your pre-paid return label, and your size 40 ships tomorrow on free express, you'll have it Wednesday before the wedding.' CSAT: 5 stars. Trustpilot: saved.
A level-1 ticket handled by a person costs the time of a read, a search and a reply. HelpIQ does all three in under thirty seconds, at any hour, on a model installed on your premises. What is still billed: the installation, then the maintenance. Never the ticket.
Wikolabs installs AI systems built on open-source models, on your premises, paid once. No black box: your data, your prompts and your history stay in your infrastructure. We quote at a fixed price or on time and materials, never per ticket or per token, and we say before you sign what works and what does not yet.
Concretely: 6 weeks from signature to auto-send. Week 1-2 audit + pgvector ingestion. Week 3-4 webhook wiring + shadow mode (human validates every send). Week 5-6 auto-send on high-confidence intents, weekly fine-tuning. Deliverable: dashboard with resolution rate, CSAT, cumulative savings, visible to your COO.
24/7 customer service that knows your business rules by heart
E-commerce customer service is a sink of time and costs: order status, delivery times, return procedures, product questions. Hundreds of repetitive tickets your human agents answer every day. The RAG SAV Agent ingests your business rules (Notion base, FAQ, return policy), keeps them in a vector index and replies to every customer via email or WhatsApp in under 30 seconds.
A human agent handles 40–80 tickets per day. Replies are inconsistent across agents. The cost of quality customer service is prohibitive for SMB e-commerce. And long response times degrade satisfaction and increase negative reviews.
The agent is connected to your knowledge base (Notion, Confluence or simple PDF), your e-commerce CMS (Shopify or WooCommerce) for real-time order status, and your contact channels (email via FastAPI, WhatsApp Business). It responds in under 30 seconds, automatically escalates complex cases to a human and documents every interaction.
How we deploy
- 01Knowledge base ingestion
Import of your FAQ, return policy, product sheets and business rules into a vector index (Pinecone or Weaviate).
- 02E-commerce connection
Shopify or WooCommerce integration for real-time access to order status, deliveries and stock.
- 03Channel deployment
Email configuration (IMAP/SMTP), WhatsApp Business API and/or chat widget on your site. Testing on 200+ scenarios.
- 04Monitoring & continuous improvement
Dashboard of processed tickets, resolution rate, unanswered questions. Weekly knowledge base updates.
Concrete benefits
Frequent questions (order status, delivery time, return procedure) are handled automatically 24/7.
Every customer receives a precise and consistent response in seconds, even at night and on weekends.
Your human agents only handle complex cases and escalations. Cost per processed ticket drops dramatically.
Frequently asked questions
Can the agent handle multiple languages?
How are business rule updates managed?
What happens when the agent doesn't know the answer?
Which e-commerce CMS is compatible?
Plug HelpIQ in before the next Black Friday
6 weeks from signature to auto-mode. No per-ticket billing. Free audit on your last 5,000 tickets.