Auto Builder
Describe a workflow in plain language and have Moveo.AI generate a conversational agent that can automate that process. The page presents this as a faster starting point for inbound automation.
Moveo.AI
ПодтвердитьMoveo.AI is an AI customer-to-cash platform for automating support, collections, and payments with no-code builders, omnichannel deployment, live handoff, and analytics.
Overview
Moveo.AI is a customer-to-cash management platform that uses AI agents to automate customer-facing conversations across service, collections, and payments. Its homepage positions the product around turning interactions into revenue by carrying context forward from one conversation to the next.
The platform combines no-code and AI-assisted agent creation with omnichannel deployment, live chat handoff, and analytics. The pricing page shows plans for Pro, Growth, and Enterprise, with different limits for assistants, collaborators, conversation volume, analytics retention, and deployment options including private deployment on cloud or on-premises environments.
Core capabilities
No-code conversation design
Use the no-code builder to refine flows with drag-and-drop edits and add rich response types such as carousels and videos. This supports teams that want control without custom development.
Collections and private LLMs
Upload sources such as a website, Zendesk help center, knowledge base, or documents to create GPT-like experiences powered by Moveo’s private LLM. This is the product’s data-driven agent approach.
Omnichannel deployment
Route conversations across channels and support live-agent handoff. The pricing page lists Web Widget, SMS, Email, WhatsApp, Viber, Facebook Messenger, Google Chat, Intercom, Zendesk, and a custom channel API.
Analytics and reporting
Track performance through analytics with retention controls, data isolation, and an analytics API for export to external BI tools. The pricing page also references customizable AI analytics.
Live support handoff
Use escalation, tagging, and live chat seats to blend automation with human support when a conversation needs a person. The product tiers expose collaborator limits and live-chat capacity.
Common use cases
Customer support automation
Automate repetitive support questions by generating an agent from a process description or knowledge source, then refining the flow before launch. This suits teams that want to reduce manual handling of common inbound requests.
Collections and debt recovery
Use the platform to manage billing, payment reminders, and collections conversations with a consistent process across channels. The homepage and customer stories point to collections as a core workflow.
Human handoff for complex cases
Route conversations with live-agent escalation, tagging, and multilingual support when a customer issue needs human follow-up. This is useful for teams that need handoff without losing conversation context.
Conversation analytics
Combine analytics retention, analytics API export, and data isolation to monitor outcomes and share results with BI tools. This fits operations teams that need reporting without moving raw data loosely between systems.
Omnichannel deployment for regulated teams
Deploy the same agent across web and messaging channels while keeping control over privacy and hosting requirements. The pricing page supports private deployment and custom channel connections for this scenario.
Pros and Cons
Pros
- Supports both AI-assisted agent creation and no-code editing.
- Covers multiple channels and live-agent handoff in one platform.
- Offers analytics controls, data isolation, and export options.
- Includes private deployment and custom security/compliance review options on higher tiers.
- Uses uploaded business content to power agents, which can help align responses with existing knowledge.
Cons
- The public pages give only partial detail on integrations and implementation specifics for many workflows.
- Pricing and feature depth vary by plan, so buyers need to review plan limits carefully before choosing a tier.
- The site emphasizes customer-to-cash operations, so teams outside that scope may need to validate fit.
FAQ
What kind of teams is Moveo.AI meant for?
Moveo.AI is designed for customer-facing operations where conversations need to be automated, routed, and improved over time. The pricing page points to Generative AI and NLP, live chat, omnichannel support, and private deployment options, so it fits teams that want to automate service workflows without losing control over data and handoffs.
How do you build an agent?
The Auto Builder page says you can describe a process in plain language, generate an AI agent, then test and deploy it. The no-code page adds a drag-and-drop interface for manually refining conversation flows and adding rich responses.
Where can the agents be deployed?
Moveo.AI supports deployment to website and communication channels such as WhatsApp and Facebook, and the pricing page lists channels including Web Widget, SMS, Email, WhatsApp, Viber, Facebook Messenger, Google Chat, Intercom, and Zendesk.
Is there a self-serve pricing model?
The pricing page shows product tiers with different limits for assistants, collaborators, and monthly meaningful conversations. It also shows a talk-to-sales path for higher-touch plans and enterprise options.
Are all integrations and workflow details publicly listed?
The source highlights analytics, data isolation, API export, and configurable logging controls, but it does not provide full implementation details for every integration or workflow. Buyers would need to review the product in more depth to confirm exact fit for their stack.
Quick Facts
- Category
- Customer-to-cash AI platform
- Primary users
- Customer operations, support, collections, and revenue teams
- Build methods
- Auto Builder, no-code builder, and collections-based agent creation
- Deployment
- Cloud, on-premises, and private deployment options
- Channels
- Web Widget, SMS, Email, WhatsApp, Viber, Facebook Messenger, Google Chat, Intercom, Zendesk, and custom channel API
- Pricing model
- Paid plans with Pro, Growth, and Enterprise tiers; some tiers use talk-to-sales