Mοveo AI
Moveo.AI · Marketing · Chatbot
Moveo.AI is an enterprise AI agent platform that handles customer service, sales, and payment collection across voice, chat, and email, keeping one shared memory per customer.
About Mοveo AI
What Is Mοveo AI
Moveo.AI is an enterprise AI agents platform, and it builds conversational AI that companies put in front of their customers. These AI customer service agents answer questions, chase overdue invoices, and push upgrades, and they work from the same customer memory whether the conversation happens in a web widget, on WhatsApp, by phone, or through a Zendesk ticket. That is the core promise: a customer who starts on chat and calls two days later shouldn't have to explain the problem again.
The platform is aimed at industries where conversations carry money. Banks, telecoms, utilities, insurers, auto lenders, and iGaming operators show up most often in the company's case studies, with Betano, Alpha Bank, and Enerwave named as customers. These are operations with heavy call volumes and strict compliance rules, not small teams testing a chatbot.
Two things need to be clear before you budget for it. Pricing is quote based, with no public number attached to any of the three plans. And this is enterprise software in the literal sense: no free trial, no self-serve signup, and a sales call at the front door. For a five-person shop looking for a weekend chatbot builder, it's the wrong tool.
Getting Started
- Book a demo through the company site and describe your operation. The sales team scopes the plan around monthly conversation volume and the channels you need.
- Choose how to build. You can start from a ready-made agent type such as Early Engagement or Debt Collection, describe the process in plain language with Auto builder, or drag and drop flows yourself.
- Feed the agent your own material. Point Collections at your help center, website, or PDF and CSV files, or connect a private LLM deployment if compliance requires it.
- Connect channels and systems. Add web chat, WhatsApp, voice, and email, then link Zendesk, Salesforce, or your own CRM through native connectors and the Open API.
- Go live and watch the analytics. Teams review intent-level results, find where conversations stall, and let the weekly learning loop close the gaps.
Product Information
A quick look at Mοveo AI's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Customer support leads at banks and fintechs
- Collections teams at lenders and utilities
- IT and operations managers who need on-premise deployment
Tasks
- Deflecting repetitive billing questions
- Recovering overdue accounts at scale
- Turning support into upsell
Scenarios
- Peak season spikes in telecom or retail banking
- Multi-market operations with different languages
- Compliance-heavy service desks
Key features
Shared Customer Memory Across Channels
The shared memory layer is what makes omnichannel customer support realistic. Most support stacks lose context at every handoff. Moveo keeps one customer record that travels from a web chat to a WhatsApp thread to an inbound call, so the agent already knows what was promised and what is still open. In practice that means fewer "can you repeat that" moments and shorter calls.
Proactive Collections Agents
Collections is treated as a first-class agent type rather than a bolted-on reminder flow. It accepts overdue balances, offers structured payment plans, and logs each commitment for follow-up. The company reports an 80% improvement in debt collection and a 19x return on collection work at Enerwave, both figures provided by Moveo.AI.
Auto Builder From a Written Description
Auto builder takes a plain-language description of a process, roughly the way you'd explain it to a new hire, and assembles a working agent from it. The point is speed: a workflow that would take a developer a sprint to wire up becomes a first draft in minutes, then gets edited by hand.
Private Fine-Tuned LLM
Moveo runs its own model, tuned on business conversations, and lets customers swap in another provider if they prefer. The pitch is fewer hallucinations and faster responses in customer service contexts. Moveo's own comparison against GPT-4 on seven CX dimensions is the source for those claims, so treat the numbers as vendor-reported.
Visual Flow Builder Without Code
This is the no-code chatbot builder part of the product. The drag-and-drop editor covers intents, entities, rules, and webhooks, with carousels and video embeds available in the flow. Non-technical staff can change a branch or add an escalation path without filing a ticket, which shortens the loop between spotting a problem and fixing it.
Disambiguation and Smart Escalation
When a message could mean two different things, the agent asks one clarifying question instead of guessing. Handover rules decide when a conversation goes to a live agent and which department gets the tag, so a stalled thread doesn't sit unnoticed overnight.
Intent-Level Analytics
Analytics break results down by intent rather than by channel, showing where revenue is won, which flows stall, and where customers drop off. Data retention stretches to 180 days on Enterprise, and an analytics API pushes the numbers into Power BI or another BI layer.
Pros and cons
Pros
- One memory layer across voice, chat, email, and messaging means customers stop repeating themselves, which is the single biggest driver of satisfaction in service operations.
- Agent types come pre-shaped for revenue work (early engagement, adoption, upsell, collections), so teams start from a working structure instead of a blank canvas.
- Private deployment and a self-hosted model option fit banks and insurers that can't send customer data to a public API.
- 100+ languages from one configuration, which suits companies running the same operation across several markets.
Cons
- No public pricing and no free tier. You can't evaluate cost without a sales conversation, and that stalls internal budgeting for smaller teams.
- Two of the standard plans cap live chat at 3 to 10 seats, and extra seats cost $40 per user, which adds up for support desks with large human teams.
- Setup still assumes a CRM or help desk you can wire up. Companies without clean ticket data will see weaker agent performance at the start.
- Performance claims such as the 19x collection return come from the vendor's own case studies and haven't been independently benchmarked.
Frequently asked questions
It deploys AI agents that handle customer conversations across voice, chat, email, and messaging, with a shared memory so context follows the customer. Beyond answering questions, the agents push sales, onboard new users, and recover overdue payments.
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