An AI voice agent conducts complete phone conversations in your language: it understands intent, responds with context and executes actions in your business systems — no waiting times, no time restrictions. We deploy it, integrate it and keep it running.
Traditional IVR switchboards frustrate customers because they force them through rigid menus that never quite capture what the caller actually wants. An AI voice agent, by contrast, holds a natural conversation: it asks, interprets, escalates only when necessary and logs the outcome directly in your CRM or ERP. The result is faster service available around the clock that stops consuming your team's time on routine calls.
At Summum IA we deploy voice agents tailored to the real use cases of European SMEs: appointment confirmation and reminders, qualification of inbound phone leads, order and delivery tracking, friendly debt collection and post-service satisfaction surveys. Each agent is trained on your company's vocabulary, processes and tone — not generic templates. Integration is built against your existing telephony platform (VoIP, SIP, cloud switchboard) and your business tools via API or connector.
From 2 August 2026, the European AI Regulation (AI Act, Regulation EU 2024/1689) imposes transparency obligations on every automated voice agent that interacts with people: Article 50 requires unambiguous notification to the user that they are speaking with an AI system and technical marking of generated audio. This is the date of full application of the Regulation, which also covers market supervision. Summum IA delivers every agent already prepared for AI Act compliance: conversation-start disclosure, audit logs and decision-chain documentation, so your business operates without regulatory risk from day one.
We identify the use cases with the highest volume of repetitive calls, map the ideal conversational flow and define integration points with your CRM, ERP or scheduling tool. We deliver a reviewable functional blueprint before a single line of code is written.
We build the agent on language models and neural voice synthesis. We train speech recognition on your sector's terminology and configure the routing logic: when the agent responds, when it transfers to a human and what data it records in each case.
We connect the agent to your telephony (SIP/VoIP or cloud) and to your business systems. We run tests against real scenarios — inbound and outbound calls, interruptions, silences, unexpected responses — until the robustness required for production is achieved.
We launch the agent in production with a real-time monitoring dashboard: resolution rate, transfer reasons, average call duration and post-call satisfaction. We review performance every month and retrain the model on real conversations to drive progressive improvement.
The operational detail: what we deliver as part of the work and what we keep alive afterwards.
Conversational blueprint
Documented flow diagram covering all decision nodes, context variables and conditions for escalation to a human agent.
Configured and tested voice agent
Full system with speech recognition, natural language understanding (NLU), neural voice synthesis and custom business logic.
Telephony and systems integration
SIP/VoIP connector or API to cloud switchboard, plus integration with CRM, ERP, scheduling tool or database as required by the use case.
AI Act Article 50 compliance
AI disclosure at the start of each call, technical marking of generated audio, audit logs and decision-chain documentation for the regulatory file.
Monitoring dashboard
Real-time operational metrics: call volume, autonomous resolution rate, transfer reasons and post-call satisfaction.
Monthly support and retraining
Monthly performance review, correction of errors detected in production and model retraining with new real-world conversations.
The voice agent combines with process automation, document processing and technical governance from the wider Summum group to close the full loop from the phone call to the management system.
The actions triggered by the voice agent — creating an appointment, updating an order status, sending a confirmation — are orchestrated via n8n flows to connect with any system without bespoke development.
View service → iaThe MCP protocol allows the voice agent to query and write to business tools in real time during the call, without the need for custom APIs for each system.
View service → consultoríaSummum Consultoría supports the AI Act risk assessment and the company's legal position under the European Regulation, complementing the technical preparation of the voice agent.
View service →The models we use are trained on the target language and support regional variants. During the training phase we fine-tune pronunciation, sector-specific vocabulary and expressions typical of your business so the agent sounds natural in your market context.
The agent detects situations that exceed its capability or that the customer explicitly escalates, and transfers the call to a human agent transparently, passing along a summary of the conversation up to that point. Escalation conditions are defined in the blueprint and can be adjusted in production.
Yes. Article 50 of Regulation EU 2024/1689 (AI Act) requires informing the user that they are interacting with an AI system whenever the agent is not self-evidently artificial. The Article 50 transparency obligations apply from 2 August 2026, the date of full application of the Regulation. All agents we deploy include the mandatory compliance mechanisms.
In most cases there is no need to replace your switchboard. The agent integrates via SIP or API with the leading cloud telephony platforms (3CX, Asterisk, RingCentral, Twilio, among others). We assess compatibility during the discovery phase before proposing any infrastructure change.
The highest-return use cases are: appointment confirmation and reminders (healthcare, professional services, workshops), order and delivery tracking (logistics, retail), inbound lead qualification (real estate, training, insurance) and friendly debt collection (services, industry). In all of them, repetitive call volume is high and conversations follow structured enough patterns for the agent to handle them autonomously.