The short answer
Choose the first channel around a specific problem, not the longest feature list. Inbound phone handling serves people already calling, outbound follow-up needs verified contact rules, and website chat serves people browsing your site. Each requires separate setup, an inquiry owner, and a measurable outcome.
Inbound calls: when staff availability is the bottleneck
If customers already call and staff cannot always answer, examine the incoming questions first. At a hotel, those may involve directions, stay policies, or a new reservation. These are different workflows: approved property information can come from stored knowledge, while current room availability needs a live source. Define which conversations end with an answer, which become requests, and which require a person. Verify number routing, exception handling, and outages before rollout. An inbound agent should not present an unconfirmed reservation as completed simply because it understood the preferred dates.
Outbound follow-up: when there is a defined reason to call
Outreach is a separate process, such as returning an inquiry for a clearly defined purpose. Do not start by importing every number and assuming identical permission to call. Review the contact source, purpose, required permissions, allowed timing, and opt-outs under the rules applicable to your business. Keep the reason for calling brief and respect refusal. An interested person needs an agreed next step, not an invented promise that an advisor is available. Have qualified counsel review the rules rather than expecting the agent to establish the legal basis.
Apply the workflow to your industry
AI receptionist for hotelsWebsite chat: when questions arise during browsing
Chat can provide approved service answers and collect contact requests without a voice conversation. First check that information is current and someone owns follow-up. Do not automatically reuse every phone assumption: a site visitor may not provide a phone number or may leave before completing intake. Record missing details instead of inferring them. Writing into company systems and retrieving current availability require their own integrations. A visible chat window does not demonstrate those capabilities. The useful outcome is a verified answer or a request staff can handle, not simply an engaged session.
Compare the whole workflow cost
Callivera's offered AI Receptionist plan is €149 per month with 300 minutes and €0.39 per additional minute. This does not include an assumption that outbound follow-up and chat have the same price. Their scope and pricing are confirmed separately. Before deciding, confirm deployment terms and any required external services. Include staff work on inquiries and knowledge maintenance in your own comparison. Use your actual assumptions for opportunity value rather than treating hypothetical sales as guaranteed revenue. This euro-denominated offer should not be silently converted into a different US price.
Want this in your business without the setup work?
We prepare the AI agent on your knowledge, test it and launch after approval. AI Receptionist from €149/month.
Send an inquiryOne channel, one reviewable outcome
Choose a workflow for which you have approved knowledge, an inquiry owner, and a way to evaluate results. Useful criteria include required-field completeness or correct answers to approved questions rather than conversation counts alone. Test refusal, missing information, and requests for a person. Adding another channel should follow review of the first, not merely an attractive demo. In the current product, an account prepares company records and a draft. Live phone handling, outbound follow-up, and chat each need verified configuration before their actions can be considered operational.
Your action checklist
- Name the customer and team problem.
- Choose one starting channel.
- Approve knowledge and contact rules.
- Confirm price scope and connections.
- Define an outcome and inquiry owner.
Sources and scope
Editorial guidance, not legal or medical advice. Examples are illustrative; outcomes and integrations require verification.

