Call handling & conversation
- Available 24/7, up to 20 parallel calls by default — further scalable
- Automates routine inquiries
- Natural conversations instead of rigid IVR menus
- Adjustable speaking style (e.g., formal or casual)
Our AI‑powered voice agents combine natural voice dialogs with process‑safe automation — directly in Microsoft Dynamics 365 Customer Engagement and Business Central. This improves availability, lowers costs, and speeds up operations in customer service and field service.
AI‑powered voice agents in practice — from customer service as a call‑center replacement to field service that automatically generates a visit report.
Our examples show how companies use intelligent voice control to optimize customer service and increase efficiency in sales.
We connect AI voice directly to your Microsoft systems. As a Microsoft partner with over 30 years of experience in the ERP space, we deliver productive, secure, and scalable solutions.
We provide everything you need for a productive voice agent — prebuilt agentic workflows for Business Central and CRM, plus flexible extensions for your own scenarios.
The voice agent can accept all incoming calls at any time and in parallel, without staffing customer service with 10 or more people. Costs only apply to the actual phone minute and are on average around 50% lower than those of a comparable human agent.
Thanks to rapid call acceptance, waiting loops disappear, and common questions are no longer tied to today’s limited service hours. The consistently high quality of responses further enhances the service experience. When needed, calls can be forwarded directly to a person (during the service window) or pre‑registered as a ticket.
Round‑the‑clock availability is a clear advantage: customers can call at any time — regardless of office hours, peak periods, or staff availability. Companies remain continuously reachable and avoid backlogs the next morning.
Internal processes are measurably accelerated through AI‑driven voice automation. Follow‑up questions, orders, or appointment coordination happen over the phone without media breaks — fast, reliable, and without additional staffing.
Another benefit is increased efficiency in field and inside sales. Tasks that used to require manual documentation can be automated while driving or between appointments. This leverages valuable time that would otherwise go unused.
Choose flexibly from our packages according to your needs — including bundled call minutes and additional services. We’re happy to inform you about further minute tiers and models with multiple parallel voice agents.
Schedule a non‑binding call and experience our demo agents live. In a tailored demo, we’ll show how our AI solutions best support your specific scenario and create measurable value for your business.
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AI voice agents are AI‑powered assistants that can conduct natural conversations over the phone. They use modern speech processing and large language models (LLMs) to understand inquiries and provide appropriate answers. By combining NLU with real‑time speech output, dialogs feel human and enable automated processes.
The biggest benefit is relieving service teams by automating standard inquiries. Companies gain lower costs, higher customer satisfaction, and 24/7 availability. In addition, internal processes like appointment coordination or documentation are accelerated.
AI voice agents are ideal for first‑level support to answer customer inquiries quickly and efficiently. They can also be used in field service, for example to create visit reports while driving. Other use cases include appointment scheduling, internal service hotlines, and order processes.
Yes, processing is carried out in compliance with GDPR. All data flows are transparent and transmitted in encrypted form. Additional mechanisms such as authentication and prompt filters protect against misuse and unwanted responses.
Yes, provided secure authentication is integrated. The agent can accept orders, provide status information, or trigger internal processes. Critical actions are safeguarded by security policies and optionally by human approvals.
We rely on guardrails such as hallucination reduction, source attribution, and strict response policies. In addition, all inputs are filtered to prevent prompt injection. For sensitive processes, a human‑in‑the‑loop mechanism can be implemented.
A proof of concept (PoC) can be implemented within a few weeks, depending on data access and use cases. After successful testing, integration into existing systems takes place step by step. This ensures the solution quickly becomes productive and can be used securely.
