Customers expect instant, accurate answers at any hour. Old rule-based chatbots frustrated them with rigid menus and dead ends. Modern AI chatbots understand open-ended questions, look up real information and take simple actions, so they can resolve a large share of routine conversations and hand the rest to your team with full context.
Startup Slang builds custom AI chatbots and support agents for e-commerce brands and enterprise teams. As an agency that also builds Shopify and BigCommerce stores, we connect assistants to the systems that hold the answers: orders, products, policies and customer records.
What our AI chatbots can do
- Answer questions from your own content. Shipping, returns, sizing, ingredients, warranties and policies, grounded in your help centre, product data and documents using retrieval-augmented generation (RAG).
- Look up orders. Order status, tracking and return eligibility from Shopify or your order system, after verifying the customer.
- Recommend products. Guided selling based on needs, budgets and compatibility, linked to live inventory.
- Qualify leads. Ask the right questions, capture details and book meetings or route to sales.
- Hand off gracefully. Pass the conversation and a summary to a person in your help desk when a question is sensitive or the customer asks.
- Speak English and French. Essential for Canadian brands.
Where chatbots help most
E-commerce stores
Stores with large or specialised catalogs, like the health and wellness range we built for Wellwise by Shoppers Drug Mart or furniture catalogs like SLK Home, generate many pre-purchase questions about specifications, sizing and suitability. An assistant grounded in product data answers them instantly, which reduces abandonment.
Fan and community brands
Brands with busy launches and drops, like the Letterkenny store, see support spikes around release dates. An assistant absorbs the surge of "where is my order" and sizing questions.
B2B and enterprise
Internal assistants answer staff questions from policies and documentation, and customer-facing assistants help distributors find specs, pricing rules and order information.
How we build an AI chatbot
- Discovery. We review support tickets and chat logs to find the questions that matter most, define what the assistant should and should not do, and set success metrics.
- Knowledge preparation. We clean and structure your help content, policies and product data, because answer quality depends on source quality.
- Build and integrate. Model selection, retrieval, tools for order lookup and handoff, and the chat interface on your site or in your existing help desk widget.
- Guardrails. Topic limits, refusal behaviour, escalation rules, privacy controls and clear disclosure that customers are talking to AI.
- Testing. We test against hundreds of real historical questions before launch and review failures.
- Launch and improve. Gradual rollout, conversation review and ongoing improvements.
Chatbot vs. AI agent
A chatbot answers questions. An AI agent can also take actions: starting a return, updating an address or creating a ticket. We usually start with answers and order lookups, then add actions once quality is proven. Our guide to AI agents for customer support explains how to deploy them safely, and AI agents for business covers uses beyond support.
Platforms and integrations
We build on leading large language models and integrate with Shopify and Shopify Plus, BigCommerce, WooCommerce, common help desks and CRMs, or custom systems through APIs. Where an off-the-shelf tool fits, we will recommend it and configure it well; where you need more control, we build custom.
Privacy and trust
Assistants only access the data they need, verify customers before sharing order details, use providers that do not train on your data, and log conversations for quality review in line with Canadian privacy law, including Quebec's Law 25.
Part of a bigger AI strategy
Chatbots are often the first step. Once your knowledge base is structured, the same foundation powers AI automation across marketing and operations. We work from Toronto and Montreal.
