Frequently asked questions, answered directly.
The main questions that should be clear before a serious start.
Most conversations revolve around the same topics: data control, implementation time, channel scope, cost and when an agent should hand over to people. That is exactly what this page clarifies.
- 01
Not every problem should start with an agent. Sometimes audit is the better first move.
- 02
For us, privacy-first is technical control rather than positioning language.
- 03
Time and cost depend on scope, but the common patterns are usually clear early.
How can a hair clinic reduce no-shows with AI?
By combining reminders, check-ins and multilingual conversation logic across WhatsApp, email or voice. The real value is not the reminder itself, but proactive clarification of doubts and fast escalation when risk appears.
Are AI chatbots compliant for patient data?
Only when hosting, permissions and data paths are controlled properly. Generic consumer APIs are often not enough for that. RakenAI relies on deliberate Swiss and EU infrastructure and carefully bounded integrations.
What does an AI agent cost for a clinic or practice?
That depends on channel scope, integrations and governance requirements. The typical structure is an implementation project plus ongoing operating and optimisation cost. A reliable estimate needs a clearly defined use case first.
How long does implementation take?
For focused use cases many builds land in the four to eight week range, plus discovery and architecture. More complex knowledge or process systems can take longer.
What is the difference between a standard bot and an AI agent?
A rules-based bot follows fixed trees. An AI agent understands context, uses knowledge sources, can trigger actions and knows when to escalate cleanly to a human.
Can an agent work with international patients in multiple languages?
Yes. Translation is the smaller part. Tone, context and the connection to real process steps such as scheduling, document collection or staff handoff matter more.
How many channels can an AI receptionist handle at once?
A properly designed system can handle website chat, WhatsApp, email and voice in parallel. What matters is a shared knowledge and escalation layer so the channels do not drift apart.