AI Chatbot for Sales and Customer Service

Costs depend on scope, channels and integrations. At ArkeonTech you receive a transparent fixed-price offer after a free initial call: a one-off setup for concept, build and integration plus a monthly service for operation, hosting, model updates and fine-tuning. No minimum term - the service plan is cancellable monthly.

A classic chatbot follows rigid click flows and fails on free-form questions. An AI agent understands natural language, keeps conversational context, accesses your product and company data and takes action - booking appointments, filling lead forms or escalating to a human.

• Context awareness across the whole conversation instead of keyword matching
• Access to your knowledge base: products, pricing, opening hours, processes
• Actions, not just answers: bookings, CRM entries, sales handover
• Clean escalation to humans when a case gets complex

One agent, all channels: website chat, Instagram DMs, Facebook Messenger, WhatsApp Business API, SMS and email. CRM integration (HubSpot, Salesforce, Pipedrive, Notion, Airtable) is part of the standard setup; other systems connect via REST APIs or webhooks.

Companies with 5 to 250 employees that regularly receive similar enquiries via website or social media. In our case studies those are online retail, medical practice groups, estate agencies and financial advisory firms. What decides it is not headcount but enquiry volume: where questions only arrive occasionally, maintaining the knowledge base costs more time than the agent saves. We tell you how we read your case in the free initial call. At the upper end our fit ends where a corporation has its own IT department with its own operating model and procurement process.

• Company size: 5 to 250 employees, focus on 10 to 100
• Regularly recurring enquiries via chat, form or DM
• Documented sectors: e-commerce, healthcare, real estate, financial advice, hospitality, industry
• No in-house development team required - we run the operation

In three cases we advise against it. First, when the answers are documented nowhere and nobody wants to write them down: an agent reproduces what the knowledge base contains, and without that foundation the project fails on editorial work, not on technology. Second, for answers that are individual professional judgements - legal advice, medical diagnosis, binding commitments where every quote is calculated individually. The agent records such requests and passes them on; it must not decide them. Third, when your customers almost exclusively call: then an AI phone assistant is the right channel and a chat window simply stays unused.

Yes. ArkeonTech hosts exclusively on European servers, signs data processing agreements with all sub-providers and documents every data flow. Personal data is stored only as long as its purpose requires - the setup passes any privacy review.

Yes, where it helps. ArkeonTech is based in Aalen in Baden-Württemberg, southern Germany. The demanding part of a chatbot project is not the technology but the knowledge base: which questions actually arrive, which answer applies, who decides the exceptions. Two hours around a table settle that faster than five rounds of email. Companies within about an hour of Aalen get that workshop in person; everything after it runs remotely, as do projects anywhere else in Germany and beyond.

Michael Kaiser, owner of ArkeonTech and the engineer who builds your chatbot. Business informatics (DHBW Heidenheim), B.Sc. Business Analytics (Aalen University), previously several years as an ERP consultant to mid-sized companies in Baden-Württemberg. The initial call, the knowledge-base build and the later fine-tuning all run through the same person - there is no sales or account layer in between.

Email: m.kaiser@arkeontech.de