Frequently asked questions about Crafter.ai

Crafter.ai is Athics' no-code platform for building enterprise AI Agents. It lets companies of any size automate customer care, marketing, sales, HR and internal processes by combining LLMs, RAG and conversational flows. It serves both large enterprises and SMEs that want to adopt conversational AI without coding skills.

The platform covers over 40 industries — from customer care to banking, insurance, retail, healthcare, travel, energy, logistics and food — and functions such as customer service, marketing, sales, HR and ITSM. Specialized AI Agents and dedicated use cases are available for each area.

A Crafter.ai AI Agent can run simultaneously across multiple channels: web chat, WhatsApp, Microsoft Teams, email, Facebook Messenger, SMS, voicebot/IVR, kiosk and API. The same agent keeps consistent knowledge and context across every touchpoint.

No. Crafter.ai is a no-code platform: with the visual node editor (Conversation Designer) you can design conversational flows, upload the knowledge base and customize the agent without writing code. Technical teams can still extend integrations via API and webhooks.

You can create an unlimited number of AI Agents, even on the free trial plan. Consumption is based on the tokens actually used by conversations, not on the number of active agents.

Yes. Through webhooks, APIs and the Model Context Protocol (MCP), AI Agents can connect to CRMs, ERPs, ticketing systems and corporate databases, reading and writing data in real time during the conversation.

Crafter.ai supports over 40 languages with automatic detection: the agent recognizes the user's language and replies accordingly, with no need to configure separate versions.

Timelines depend on the complexity of the use case, but thanks to ready-made templates and the no-code approach many agents are configured and published within a few days. For more complex enterprise projects, the Crafter.ai team supports the company throughout implementation.

The platform is compatible with the leading Large Language Models, including GPT-4, Claude, Gemini, Mistral and on-premise models. We offer model switching for selected customers: if you would like to change the type of model, please get in touch with us.

With the RAG system you upload PDF, Word, Excel files or web pages: Crafter.ai indexes them automatically and uses semantic search to retrieve the most relevant information, enriching the agent's answers with your company's real data.

MCP is an open standard that lets AI Agents connect to external tools, services and data sources in a standardized way. With MCP you can extend the agent's capabilities by integrating business tools without complex custom development.

The Q&A Engine offers two modes: Contextual mode, where the LLM uses approved answers as context, and Exact mode, which returns the answer verbatim with no AI intervention. Combined with RAG over your company data, this setup drastically reduces the risk of hallucinations.

The Analytics dashboard shows the number of conversations and messages, average messages per conversation and response times, with filters by period and environment. Full transcripts enable qualitative analysis for the continuous improvement of the agent.

Webhooks send real-time notifications to external systems — CRM, ERP, Slack or automation flows — on every relevant agent interaction, letting you orchestrate business processes starting from conversations.

Yes. Crafter.ai is GDPR-compliant: data is stored on servers in Europe with guaranteed data residency, end-to-end encryption and controlled access. Protecting customer data is a priority of the platform.

Yes. The platform is designed in compliance with the European AI Act, focusing on transparency, model governance and responsible data handling, to support companies in using AI in line with regulations.

Yes. With Crafter.ai you can build a voicebot that integrates with phone systems and IVR: the same AI Agent answers calls, understands natural language and handles requests just as it would in chat, available 24/7.

Yes. Voice and text share the same AI Agent, with a common knowledge base, conversational flows and integrations: you configure the agent once and deploy it as both a voicebot and a chatbot, keeping answers consistent across every channel.

Yes. Beyond the AI Agent's automatic answers, the platform offers a live chat that lets human operators follow conversations and step in in real time when a human touch is needed, keeping the full history and context of the conversation.

Operator takeover through the live chat is available on the conversational channels handled by the agent, so the handover between artificial intelligence and a person stays seamless regardless of the touchpoint the user is on.

Yes. Analytics store full conversation transcripts: you can review them to understand how users interact with the agent, spot unanswered questions and progressively improve the knowledge base and flows.

Yes. The Analytics dashboard updates in real time: you can follow conversations and messages as they happen, monitoring traffic peaks, active campaigns or the launch of a new AI Agent.

Yes. Beyond the no-code editor, Crafter.ai exposes APIs that let technical teams embed AI Agents into existing applications, websites and processes, automate configuration and connect the agent to their own software stack.

Not always. Many integrations can be set up from the no-code interface with webhooks and ready-made connectors; for more complex scenarios or custom connections, APIs and the Model Context Protocol (MCP) let technical teams extend the agent without limits.

Yes. Crafter.ai features case studies across many industries — energy, healthcare, HR, manufacturing, legal, travel, food, ITSM and more — with clients such as Sorgenia, Humanitas, Vega Carburanti and Bestway. You can browse the Customers section to find examples close to your business.

Results vary by project, but some real examples are significant: Sorgenia autonomously handles 98% of pre-sales requests with its "Gea" assistant, Vega Carburanti reduced human-handled requests by 70%, and TLC Marketing increased its WhatsApp campaign redemption rate by 19%.

Return on investment depends on volumes and the automated process, but the combination of lower operating costs, higher conversions and 24/7 availability allows many companies to recover their investment quickly. Case studies report measurable savings and gains within the first few months.

AI Agents handle most requests autonomously, but when needed they can hand the conversation over to a human operator, preserving context and history. This "human-in-the-loop" approach ensures continuity and a high-quality user experience.

Yes. Many case studies are available as a downloadable document on their respective customer pages, including objectives, the adopted solution and the results achieved. It's a handy way to share concrete examples internally.

Yes. In addition to the self-service platform, the Crafter.ai team supports companies through the design, configuration and optimization of the agent. Dedicated support and an account manager are available with the Enterprise plan.

Yes. In the Use Case section you'll find videos showing Crafter.ai AI Agents applied to real scenarios such as HR onboarding, ecommerce, banking and travel, including the conversational flows and the benefits achieved.

In the Use Case section we collect demo videos by industry and function: HR, ecommerce, retail, travel, banking, insurance and public administration. Each video shows the agent in action and the related business outcomes.

An AI Agent for onboarding automates pre-boarding, document collection and answers to new hires' questions. In measured cases this reduced onboarding time by up to 53% and increased employee retention by 16%.

Yes. A screening agent can analyze thousands of CVs in seconds by applying consistent, objective matching criteria, reducing subjective bias in the selection process and speeding up shortlisting.

In ecommerce the AI Agent provides personalized recommendations, abandoned-cart recovery and contextual upselling across channels. In documented use cases it helped increase conversions by up to 45%.

Yes. The same AI Agent shares its knowledge base and configuration across all channels, so the conversation stays consistent whether the user writes on the website, on WhatsApp or by email, without starting over.

Absolutely. Beyond the ready-made scenarios, you can build an AI Agent from scratch by combining a knowledge base, flows and integrations specific to your process. For complex needs, the Crafter.ai team can support you in the design.

It depends on the goal, but the most common KPIs are the automatic resolution rate, response times, user satisfaction, conversion rate and operating-cost savings. Crafter.ai Analytics let you track them over time.

Crafter.ai uses a pay-as-you-go, token-based model with no subscriptions. You only pay for what you use: tokens are consumed for conversations, LLM calls and RAG queries.

Tokens are the platform's credit unit: they are spent to start and manage conversations, run LLM model calls (standard and advanced), perform RAG queries and use the advanced features of AI Agents.

With a €20 recharge you get 20 million tokens, enough for thousands of conversations. You can estimate consumption for your traffic volume with the dedicated estimator.

No, the credit never expires. Tokens remain available in your account until you use them, with no time limits.

Auto top-up is optional: when your credit runs out, the system automatically reloads the account with another €20 so your agents never stop. You can enable or disable it at any time from your account, with no penalties.

Yes. The free trial includes 1 million tokens and requires no credit card. You get access to unlimited AI Agents, RAG, Flow Designer, Analytics and MCP integration to test the platform with no commitment.

Yes. The Enterprise plan offers custom token packages, guaranteed SLAs, dedicated support and an account manager. It's designed for companies with high volumes or specific needs: contact the team for a tailored proposal.

Crafter.ai is developed by Athics s.r.l., an Italian company based in Reggio Emilia specialized in artificial intelligence solutions for businesses. On the About Us page you'll find the mission, values and team behind the project.

Yes. Crafter.ai has a program for agencies, system integrators and consultants who want to offer conversational AI solutions to their clients. On the Partner page you'll find the benefits of the collaboration and how to apply.

The Learning Center gathers step-by-step guides and tutorials to learn how to create and manage your AI Agents. It's the ideal starting point for anyone getting started with Crafter.ai.

On the Crafter.ai blog we regularly publish articles on artificial intelligence, conversational agents, automation and business use cases, with insights designed also for non-technical readers.

By subscribing to the newsletter you receive updates on new features, blog articles, events and conversational AI best practices straight to your inbox.

You can write to us through the form on the Contact Us page or by email at [email protected] for commercial requests and [email protected] for technical support. We respond within 24 hours.

Yes. You can book a free, personalized demo with our team to see Crafter.ai in action on your use case. Pick a time slot directly from the online calendar.

Yes. In the Tutorial section you'll find a collection of step-by-step videos showing how to configure AI Agents, use the Flow Designer, manage the knowledge base and much more.

The complete Crafter.ai documentation is available at docs.crafter.ai, with detailed guides on features, APIs, integrations and advanced platform configuration.

Yes. The Crafter.ai podcast explores topics related to artificial intelligence, innovation and the digital transformation of companies, with guests and in-depth episodes.

On the dedicated latest-features page we publish the most recent platform updates, so you can immediately know which new capabilities are available for your AI Agents.

With the chat estimator you can estimate token consumption based on your expected conversation volume, so you can understand in advance what budget to allocate to your AI Agents.