An AI agent that actually answers your customers.
We build AI agents integrated into your CRM or ticketing system. They handle first-line customer service in natural language, with human hand-off on complex cases. Consistent answers 24/7, structured log of every interaction, predictable operating cost.
What happens today.
First-line customer service absorbs hours of human time on the same questions: where's my order, how do I reset my password, can I change my appointment, how long until delivery. Staff is under pressure, average response time grows, quality drops.
Expanding the team costs money, training takes months, and when an operator leaves the knowledge gap reopens. Italian SMEs know this well: customer service is structurally understaffed for most of the year.
A well-built AI agent handles 60% to 80% of first-line requests with no human intervention, freeing the team to focus on the cases that genuinely need judgment. It is not a replica of the staff: it is the zero-level that staff would never have time to do properly.
Customer service is a room with the lights always on. Almost no one wants to work there anymore, and those who do deserve tools that protect them.
The solution, broken into parts.
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Natural English conversation
The agent speaks fluent English, not templates. It catches nuance ('I need that thing I ordered last week'), handles digressions, and keeps context across the whole conversation.
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Integration with your CRM
Reads customer data, orders, open tickets. Writes new tickets, updates status, logs the conversation. Works with Salesforce, HubSpot, Zendesk, Freshdesk, Microsoft Dynamics, or custom systems.
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Configurable human hand-off
Low-confidence or high-value requests are routed to an operator with the full conversation context. No frustrated operator forcing the customer to repeat everything.
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Continuous measurement
Automation rate, average response time, post-chat customer satisfaction, cost per interaction. Accessible dashboard, no hidden metrics.
The typical profiles who benefit.
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E-commerce with more than 500 orders/month
Requests are repetitive (where's my order, can I change my address, when's my refund) and customer service is the growth bottleneck. An AI agent scales with volume without hiring.
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B2B SaaS with technical onboarding
First-line support questions on configuration, integration, and common troubleshooting absorb hours of engineer time. The agent answers with docs + examples + escalation only when actually needed.
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Multi-channel retail with WhatsApp, chat, email
The same questions arrive across different channels. The agent unifies the answer regardless of channel, in your tone of voice, and centralizes the metrics.
Transparency on what the client does.
Before we start we need a few accesses and decisions. All reasonable, no surprise asks.
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Technical access
- API access to the CRM or ticketing system (read + write)
- Test account for integrations with communication channels (WhatsApp, live chat, email)
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Training data
- 50-200 anonymized conversations with real customers (ticket history or chat logs)
- Existing company FAQs, manuals, internal knowledge base
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Operational decisions
- Priority list of request categories to automate
- Human-escalation criteria (hours, value thresholds, case types)
- Official company tone of voice
Indicative numbers, not quotes.
- TIME
- Typically 6-10 weeks from discovery to go-live. Up to 14 weeks for complex or multi-channel integrations.
- COST
- Range €15,000-40,000 for the initial version. Operating LLM cost €150-800/month depending on interaction volume.
- MODEL
- We work on fixed milestones (typically 4), agreed at kickoff. Time & material is an option for post-go-live work.
Indicative numbers. For an accurate quote, let's talk.
Answers to the most common questions.
How long before the agent can handle real requests?
Typically 4-6 weeks from kickoff: 1-2 weeks of discovery on the dataset, 2-3 weeks of build and internal testing, 1 week of soft launch on a traffic subset. Full go-live is progressive, with continuous quality-metric monitoring.
What happens if the agent answers a customer badly?
The agent is designed to auto-escalate to the first human tier when confidence is low or the case is critical. All interactions are logged, monitoring identifies error patterns, and prompts are refined based on real cases. Final responsibility always stays with the company.
Do we have to change our CRM or ticketing system?
No. The agent integrates with your existing CRM or ticketing system via API. Works with Salesforce, HubSpot, Zendesk, Freshdesk, Microsoft Dynamics, or custom systems. Automation logic lives in separate microservices, the CRM is left untouched.
How much does running the agent cost per month?
Typical operating cost is €150-800/month for LLM usage (Claude, GPT, Mistral) depending on volume, plus €100-300/month for hosting and monitoring. For high volumes we can use on-prem models, cutting the variable cost. Human-time savings typically cover 20-30x the operating cost.
Recognize your case?
Write a couple of lines about your context. We'll reply within 24-48 hours with an initial assessment and a first orientation on time and cost.
Let's talk