Healthcare
Admissions and scheduling without drowning the front desk, with anything clinical left to a person
The problem
The front desk is on the phone, on WhatsApp and in the inbox at the same time, and it is nearly always the same four questions: what time do you open, how much is a consultation, what do I need to bring, can I move my appointment. Meanwhile someone is standing at the counter waiting to be checked in. Whatever does not fit into the day turns into paperwork typed by hand after hours, and into appointments that fall through because nobody got round to confirming them.
What we do
Neuro Desk pulls WhatsApp, email, web and voice into one queue and answers the administrative traffic from what your clinic has already written down: opening hours, requirements, coverage, how to book or reschedule. Anything that touches symptoms, results or a medical decision goes to a person, and that is designed in from the start rather than treated as an exception. Neuro Intelligence works the other side, over your operational data, so leadership can ask about utilisation, no-shows or waiting times without waiting for the end of month report.
- One queue for WhatsApp, email, web and voice, with first response time measured per channel
- Answers on scheduling, hours, requirements and prices cited back to the clinic document they came from
- Escalation to a person the moment a conversation turns clinical, with the context already summarised
- Plain-language questions about utilisation, no-shows and waiting times, answered by querying your data rather than by the model estimating
- Access control and a retention period agreed with you before anything is connected
The modules behind it
Nothing is built from zero. Each solution is a combination of modules that already exist, fitted to your operation.
Neuro Desk
It is the module that absorbs admissions traffic across the four channels patients actually write to, and escalation to a person is part of its designed flow rather than a fallback.
Neuro Intelligence
It turns the schedule and the operation into answers leadership can pull when they need them, instead of waiting on whoever builds the monthly pivot table.
Neuro Desk
Unified inbox
Queue
Thread
Hi, order MX-4471 has shown as delivered since yesterday but I never received anything.
I can see it, Marisol. The parcel was marked delivered at 18:40 at the reception desk.
Reception has no record of it.
Reply proposed by the agent
I will open a trace with the carrier (48 working hours) and, if it does not turn up, we reship at no cost. Shall I confirm here in this chat?
Cited source: Knowledge base · Missing parcels · section 2
What is only true in this industry
Clinical questions are out of scope
The agent handles logistics: appointments, hours, requirements, location, payment methods. It does not diagnose, does not give medical advice, and does not interpret symptoms, read results or suggest treatment. Any clinical question is escalated to a person instead of being answered. That boundary is written into the configuration, not offered as usage guidance.
Where each answer comes from
The knowledge base is administrative: price lists, insurer agreements, hours by site, preparation instructions exactly as your clinical team wrote them. Every answer cites the document behind it, and anything that would require interpreting rather than repeating gets escalated. On the Intelligence side, what gets analysed is scheduling and operational data, not clinical notes.
What it talks to, and what stays out of reach
In a clinic the agent sits next to the scheduling system, the records system, the practice WhatsApp number and sometimes the lab portal. We connect the minimum it needs to answer about availability and to hand a booking, confirmation or reschedule request to whoever executes it, and leave out what it has no reason to see: it does not need access to the clinical record to do this job. Patient consent and the retention period are settled with you before the first conversation.
What to expect
What you can expect is a front desk that stops answering the same question over and over through the day, and leadership that stops waiting for month end to see how utilisation is tracking. What depends on you: if hours, requirements and prices are not written down anywhere, the agent has nothing to answer from, and getting that information in order is your team's work with us alongside. We are not going to attach a number to this. We do not publish client results we cannot show, and healthcare is the last place it would make sense to start.
Further reading
AI agents for customer service: from the traditional chatbot to the intelligent agent
AI agents for customer service: why decision-tree chatbots failed, what changes with agents that execute real actions, and how to measure them. Sources cited.
AI process automation: 10 processes your company can automate today
AI process automation: 10 concrete processes, what each one gains and what it does not fix. With cited sources from NBER, Science, the OECD and the U.S. Census.
How to implement AI in a company: a step-by-step guide
How to implement AI in a company, step by step: pick the process, audit data, prototype, production, governance. Cited sources: MIT, Gartner, BCG, McKinsey.
Does this look like your case?
Tell us how your operation runs today and we will tell you which modules apply, what would need adjusting and how long until it runs. If your industry is not on this list, the conversation is still worth having.
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