From support to upselling, all handled by multichannel AI Agents
From day-to-day customer care to more technical post-sales support, AI Agents respond to every request and initiate targeted sales conversations. All across every channel, seamlessly
The real work begins after the purchase
Waiting times weighing on NPS and SLA
Long wait times hurt NPS and SLAs, and your team ends up overloaded
Custom installations and configurations
No two cases are the same. Each setup and config needs a fresh approach
Zero time to waste
Missed moments mean lost sales of add-ons and extra services when contact comes too late
Data spread across multiple systems
Your team hunts for info in portals, ERPs and Excel. Data is everywhere
High operating costs
Costs skyrocket when you don’t have a scalable way to keep up
Regulatory and transparency obligations
Every reply needs to be traceable and compliant
One platform, a multi-agent architecture, the entire customer journey automated
Not a single all-purpose Agent, but multiple specialized AI Agents working together. One handles orders, tracking, and returns; another provides technical support for complex products; yet another manages loyalty cards, promotions, and the store locator; and another initiates upsell conversations with the most engaged customers. All coordinated, all traceable, all aligned with the brand’s tone
Our success stories
We launched a virtual assistant to support the customer journey, providing assistance on products and troubleshooting home appliances
We have created a virtual assistant that is available 24 hours a day and capable of processing and providing accurate, personalized responses tailored to the specific needs of each user
Tech made for retail— and built to play by the rules
Multi-agent architecture
Multiple specialized Agents for each stage of the customer journey - pre-sales, orders, technical support, loyalty programs, upsells - orchestrated by a central layer. They manage end-to-end processes without having to design a separate Agent for every scenario
Proprietary Voice Router
End-to-end call management with natural voice and low latency. A proprietary technology designed for post-sales contact centers, where calls are often long and high-value
Integrated Compliance
GDPR-ready, AI Act-ready. Comprehensive logs for every interaction, escalation management, configurable fallbacks, and governance distributed across roles and permissions - essential when working with customer data, orders, and warranty rights
Integration with your tech stack
Connectors for CRMs, post-sales management systems, order systems, ticketing systems, knowledge bases, and technical manuals. Support for MCP - introduced by Anthropic - to ensure interoperability even with emerging standards
Continuous learning
Agents aren’t static. They analyze conversations, identify gaps in the knowledge base, and suggest improvements. This is how our Self-improving Agents keep pace with your business
Find out how much you could automate your processes
Request a demo. We’ll show you how to ramp up your team’s efficiency and supercharge your sales funnel - smoothly and without delay
FAQs
Yes. AI Agents plug in via API and pull data from different sources so replies are accurate and contextual
Absolutely. They use knowledge bases, technical manuals, ticketing tools to provide guided support
Your team can update content directly using an easy, secure no-code interface. No dev help required
Yes. Every interaction is traceable, auditable, and compliant with Italian and European regulations, including the AI Act. Our architecture includes comprehensive logs, human oversight in the event of critical issues, and governance based on roles and permissions - a particularly important requirement when managing customer data, return processes, and warranty claims
Yes. We call them Self-improving Agents. Every conversation is analyzed to identify gaps in the knowledge base, misunderstandings, and new use cases, which is particularly useful when the company introduces new models, new configurations, or updates to technical manuals. The system suggests improvements, and your team decides which ones to approve and deploy