Welfare

Support that scales. Sales that move fast. All tuned to your seasonal peak periods

AI Agents take care of recurring requests from users, companies, and merchants. You get real-time responses - even during peak moments like fringe benefit campaigns or seasonal events

My meal voucher was not accepted
I want to know my available balance
How do I apply for a refund?
I can't access the platform
Where can I use my vouchers?

Many clients, many requests, many opportunities. All together

Waiting times weighing on NPS and SLA

Long wait times drag down NPS and SLAs when holiday seasons, budget deadlines, or month-end hit

Thousands of similar requests

Same questions all the time, from different people with different needs

Seasonal trade peaks

During seasonal peaks every minute counts

Data spread across multiple systems

Your team searches all over portals, ERPs and Excel. Data is everywhere

High operating costs

You need a scalable way to keep up

Regulatory and transparency obligations

Every response needs to be traceable and compliant

Solution

One platform, a multi-agent architecture, three stakeholder groups served without compromise

Not a single all-purpose Agent, but multiple specialized AI Agents working together. One handles employee inquiries about vouchers and account balances, another supports corporate clients with benefits and fringe pay management, and yet another assists merchants with acceptance and refunds. All coordinated, all traceable, all in line with your policies

Specialized agents for employees, corporate clients, and merchants
Voice, phone, IVR, app, website, WhatsApp, email
24/7 real-time response
Automatic inbound lead follow-up before the lead goes cold
Two-way integration and internal knowledge base
GDPR compliant and AI Act-ready
Features

Tech made for welfare services - and built to follow all the rules

Multi-agent architecture

Multiple specialized Agents for different stakeholders - employees, client companies, merchants - orchestrated by a central layer. They manage end-to-end processes without requiring a separate Agent to be designed for each specific scenario

Proprietary Voice Router

End-to-end call management with natural-sounding, low-latency voice. Proprietary technology designed to handle even seasonal spikes without compromising service quality

Integrated Compliance

GDPR-ready, AI Act-ready. Comprehensive logs for every interaction, configurable escalation and fallback management, and governance distributed across roles and permissions - essential when working with employee and client company data

Integration with your tech stack

Connectors for CRMs, merchant platforms, employee portals, IVRs, and benefits management systems. 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. 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 working with data from employees, client companies, and merchants

Yes. AI Agents access company, employee, and merchant data and respond with dynamic content via chat or voice

Chat, WhatsApp, voice, email, portals. All content stays centrally managed and the language always stays consistent

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 employee benefit programs, merchant agreements, or operating procedures change. The system suggests improvements, and your team decides which ones to approve and implement