Go beyond basic chatbot replies with REVE Chat AI Agents that understand customer intent, decide the next best action, connect with your business systems, and help customers complete tasks across sales, support, commerce, and operations.
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Build intelligent customer journeys that can answer questions, qualify leads, recommend products, create requests, retrieve information, and hand over to human agents when needed
Identify whether the customer wants support help, sales assistance, product information and more.
Remember what the customer has already said within the conversation
Decide whether to answer, ask, recommend, route, trigger a workflow, or hand over in real-time
Know what details are missing before completing the next step
Detect and flag conversations that need faster attention, such as complaints or high-value requests for human intervention
Clarify or escalate when the right response or action is not clear
Start a flow when a customer sends a message, a webhook request is received, or another workflow calls it
Add AI-powered steps that understand the request, respond, collect details, or decide the next path
Use rules and customer inputs to send people through the right branch of the journey
Connect workflow steps with knowledge base, API, Shopify, Google Sheets, or other available tools
Reuse smaller flows inside larger journeys to keep complex automation easier to manage
Transfer the journey to a live agent when the flow needs human support or review
Set how each agent should respond, guide, escalate, and stay within boundaries
Build different agents for different channels and use cases such as sales, support, ecommerce, bookings, claims, and more
Choose which tools each agent can use for data lookup, actions, and workflows
Connect approved business information so answers stay relevant and accurate
Define how much previous conversation context should influence the response
Define what the agent should do when it is unsure, missing information, or outside scope.
Identify visitors asking about pricing, plans, demos, comparisons, and such
Ask for business needs, team size, use case, channels, timeline, and goals
Identify which product, plan, service, or sales path the prospect fits the best
Collect contact details, company information, role, budget, and decision context
Move ready prospects toward demos, consultations, callbacks, or sales meetings
Pass qualified leads to sales with intent, context, and next steps already clear
Guide shoppers toward relevant products based on interest, preferences, and buying needs
Help customers compare items, prices, variants, and offers
Check stock, size, color, delivery options, or product availability
Recover abandoned carts, apply offers, start checkout, share payment links, or trigger purchase actions
Help customers place orders, modify order details, cancel requests, reorder items, or check purchase history
Send order status, delivery updates, return details, refund information, exchange updates, and proactive notifications
Accurately resolve common questions using company and product information
Identify billing, technical, delivery, account, claim, or service-related requests accurately
Collect the right details before creating a ticket or involving your support staff
Pull order, ticket, claim, shipment, booking, payment, or application status
Create, update, or manage tickets efficiently and route tickets to the right teams
Summarize the issue so your team can continue with full context
Set up knowledge bases with company information, product details, and the like to empower your AI Agent for accurate responses
Connect your store with an AI Agent and retrieve product information and manage order-related actions
Create leads, update records, create tickets, or route cases in a seamless manner
Integrate your internal system and sheets using APIs and custom actions, creating a fully automated system
Detect and route urgent, sensitive, complex, or high-value requests to a agent
Pass the customer’s details and previous interaction history to the agent
Send requests to the right team, such as sales and support for urgent or advanced workflows
Test the agent before it goes live by conversing with it
Try FAQs, product questions, pricing queries, support issues, order tracking, and more to check efficiency of the agent
Confirm and monitor whether the AI agent is using tools, APIs, routing, and handover steps correctly
Identify and address missing information, unclear instructions, or weak answers by providing more info or optimizing agent prompt
Check what happens when customers ask something the agent should not handle
Review performance regularly and improve the agent as business needs change
REVE Chat helps you create different AI Agents for different business workflows across sales, support, ecommerce, bookings, and service requests,
all from one platform, with each agent shaped around a clear goal.
Customer engagement should not stop at answering questions. With the right setup, AI Agents can help customers qualify for sales,
find products, check orders, create support requests, book meetings, and reach the right team faster
Connect REVE Chat AI Agents with your knowledge base, ecommerce platform, CRM, helpdesk, spreadsheets, APIs, and internal systems. Give agents access to the right data and actions so they can answer accurately, retrieve information, update records, and move customers to the next step faster.
A REVE Chat AI Agent is an AI-powered assistant that can understand customer intent, use business knowledge, connect with tools, and help customers complete tasks across sales, support, ecommerce, and service journeys.
A chatbot usually follows fixed flows or answers predefined questions. An AI Agent can understand context, make decisions, use tools, trigger workflows, and hand over to a human agent when needed.
You can use AI Agents for lead capture, lead qualification, ecommerce support, order tracking, product recommendations, ticket creation, appointment booking, customer support, and human handover.
Yes. You can create agents for different goals, such as sales, support, ecommerce, order tracking, bookings, or service requests, and configure each one with its own role, instructions, knowledge, and tool access.
Yes. You can connect approved business information so the agent can respond with answers that are more relevant to your products, services, policies, and customer processes.
AI Agents can do more than answer questions. Depending on your setup, they can collect details, retrieve information, trigger workflows, create requests, check order status, support checkout, or route customers to the right team.
Yes. AI Agents can work with connected tools such as knowledge bases, APIs, Shopify, Google Sheets, CRM, helpdesk, and other business systems depending on your configuration.
Yes. You can set handover rules so the AI Agent transfers customers to a human agent or department when the request is complex, sensitive, urgent, or needs personal support.
Yes. You can define the agent’s role, instructions, knowledge sources, tool access, memory settings, fallback behavior, and handover rules.
Yes. AI Agents can engage interested visitors, collect contact details, detect buying intent, qualify prospects, and route sales-ready leads to your team.
Yes. AI Agents can guide shoppers, recommend products, compare items, check availability, recover carts, support checkout, manage order-related requests, and share post-purchase updates where connected systems support it.
Yes. You can preview the agent, test common customer scenarios, check how it responds, review actions, and improve the setup before customers use it.
No. The AI Agent needs to be configured with the right knowledge, instructions, tools, and workflows so it can respond accurately and act within your business rules.
You can set up many parts of the AI Agent through configuration, instructions, tools, and workflows. For advanced actions or custom system connections, technical setup may be needed.
Yes, you can create language-specific agents or configure agents for different regions and customer groups depending on your setup.
No. AI Agents are designed to support your team by handling repetitive tasks, collecting information, answering common questions, and routing complex or high-value interactions to humans.
Start with one clear use case, such as lead qualification, order tracking, ecommerce assistance, or support intake. Test it properly, review performance, and then expand into more journeys over time.
Use REVE Chat AI Agents to engage customers faster, automate everyday requests, and achieve business growth
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Context & Decisioning 
Workflow Automation 
AI Agent Configuration 
Lead Generation & Qualification 
Conversational Commerce 
Support Resolution 
System Integrations 
Human Handover 
Testing & Optimization 
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