01
Discovery
“Which one fits me?”
Search the catalog and explain the best match in plain language.
16 practical starting points
Start with the job. Find the right agent.
Choose what customers need help with, where they message, and which business data should guide the answer.
Storefront agent
One question becomes a useful next step
Which blue sofa fits a small apartment and arrives this week?
Checked 12 products + delivery policy
The Sera loveseat is the most compact match. It is 152 cm wide and the blue variant is listed for delivery this week.
View productAsk a person
01
Product found
02
Policy checked
03
Next step ready
Answer questions
Recommend products
Capture intent
Hand off safely
Solution finder
Say the job in plain language.
No AI vocabulary required. Pick the outcome closest to your work and open the most relevant BoundBot route.
I need BoundBot to…Choose one
Answer customers
Reduce repetitive support without hiding the human exit.
01AI Customer Support AgentPosition BoundBot as a multi-channel support agent with grounded knowledge, automation rules, and human handoff.02AI Customer Support ChatbotAnswer repetitive support and product questions across website chat, Telegram, Discord, and Slack from one grounded support workflow.03FAQ ChatbotBuild a FAQ chatbot that responds from structured knowledge instead of vague model memory.04Website Customer Support BotAdd a support-focused website bot that handles FAQs, product questions, and lead capture from one web chat workflow.
Ecommerce moments
Every message is trying to move somewhere.
BoundBot can answer the question, find the product, capture the request, or bring in a person—without making the shopper learn your internal workflow.
02
Confidence
“Will it arrive Friday?”
Answer from the store’s delivery, return, and product information.
03
Conversion
“I want to order.”
Capture the request and the details the team needs to continue.
04
Judgment
“Let me talk to someone.”
Pause the automation and pass the full conversation to a person.
Choose the room
One customer. Different front doors.
Choose the channel by customer behavior, not by logo collection. Each one should lead into the same controlled operating system.
WebChatOwn the shopping moment on your site.Product discoveryWhatsAppContinue high-intent customer conversations.Sales & supportMessengerRoute questions from your social storefront.Social commerceTelegramSupport fast-moving groups and direct chats.CommunitiesDiscordAnswer inside community support channels.Community supportSlackBring internal answers into the workday.Team operations
Bring your truth
Useful AI starts with useful source material.
A channel carries the message. Your knowledge sources decide whether the answer deserves trust.
Living data
Google Sheets chatbot
Use a familiar team-maintained sheet as structured context for answers.
Portable data
CSV chatbot
Turn exported rows into a focused question-and-answer starting point.
Keep ownership visible.
The best source is the one your team can inspect, correct, and keep current after launch.
One operating system
Different solutions. The same controlled path.
Every route should remain understandable from the first customer message to the final human decision.
01
Understand
Read the request.
Intent, channel, and conversation context.
02
Ground
Check the business truth.
Products, pages, files, FAQs, or structured data.
03
Route
Choose the next move.
Answer, action, rule, lead, order request, or handoff.
04
Improve
Learn from the inbox.
See what customers asked and where the system needs work.
A small first launch
Pick one path. Make it dependable.
A useful first workflow beats a giant unfinished automation map.
Pick one customer job.
Start with a repeated question, a product decision, or a clear routing task.
Connect the truth.
Add the pages, files, FAQs, catalog, or data the answer should come from.
Choose the channel.
Launch where the conversation already happens, then add more channels later.
Keep the human exit.
Decide when automation stops and what context your team receives.
Before you choose
Straight answers for the first decision.
Start narrow. Expand after the path works.
Which solution should an ecommerce store start with?
Start with the customer moment creating the most work. Product questions point to Product Catalog Chatbot; repetitive policy questions point to FAQ Chatbot; broader website support points to Website Customer Support Bot.
Do I need a separate bot for every channel?
Not necessarily. The useful starting point is a shared knowledge and routing model, then channel-specific behavior where provider rules or customer expectations differ.
Can BoundBot use products, files, and structured data together?
Yes. A workflow can draw from website content, FAQs, uploaded files, product catalogs, Google Sheets, or CSV data. Keep each source maintained so the agent has dependable material.
What happens when the AI should not answer?
Use rules and human handoff. BoundBot is designed so a person can take over with the thread and context intact instead of forcing the model to improvise.
Your clearest first move