Sermed Clinic — 28% of Reception Capacity Released Through AI and Process Redesign
Sermed Clinic's reception team supported roughly 2.5 FTE of capacity against 80–100 weekly inquiries. Aigenrix redesigned the workflow so AI now handles the predictable share of first contact and booking — releasing an estimated 28% of that capacity, worth roughly €19,300 a year, for an estimated 176% first-year return.
The challenge
Sermed Clinic is a five-specialist general & aesthetic medicine practice in Barcelona. Inbound demand averaged 80–100 appointment inquiries per week, arriving across WhatsApp, Instagram, web chat and direct calls. Roughly 2.5 full-time equivalents on the reception side covered communication, patient qualification, scheduling, confirmations and follow-up — a real cost the clinic had never quantified as a single number.
A significant share of this work consisted of predictable, repetitive administrative tasks. At the same time, inquiries arriving in the evening, overnight or over the weekend could sit unanswered until staff became available. The core constraint was structural: as inquiry volume grew, administrative workload grew with it, while response speed stayed dependent on who was on shift.
What we found
Repetitive first-contact work
Reception staff manually handled standard questions, initial patient qualification and routine appointment requests. Human capacity was being used for predictable administrative work that did not require clinical or business judgment.
An availability gap
Inbound demand could only be processed immediately when reception staff were on shift. Warm patient demand routinely sat waiting outside normal working hours — evenings, nights and weekends.
A manual booking workflow
Qualification, scheduling, confirmations, reminders and parts of cancellation handling all required repeated manual intervention. Administrative workload scaled almost directly with inquiry volume.
The problem was not the absence of another software tool. The underlying workflow itself needed to change.
What we built
Aigenrix redesigned the intake and booking workflow so AI handles the stages that don't require judgment, and staff stay in control of exceptions and anything non-standard. An AI agent now owns first contact across every channel — answering FAQs, qualifying patients against the clinic's criteria, and booking standard cases straight into the calendar.
Confirmations, reminders and structured patient notes are generated automatically, and a no-show layer — prepayment on at-risk slots, automated attendance confirmation, proactive calendar control — catches missed appointments instead of letting them shrink utilization silently. Complex cases and every clinical decision stay with the doctors; the agent escalates rather than guesses.
Inquiry → Wait for receptionist → Manual response → Manual qualification → Scheduling coordination → Booking → Confirmation → Follow-up
Inquiry → Immediate AI response → Automated FAQ handling → Structured qualification → Automated booking for standard cases → Confirmations and reminders → Human escalation where required
Results
- →First response is now under 2 minutes, 24/7 — the clinic is no longer dependent on reception working hours for initial digital contact.
- →Approximately 80% of inbound inquiries are handled entirely by AI at first contact, concentrating staff attention on exceptions, complex situations and higher-value interactions.
- →Observed capacity release ranges from roughly 25 to 35 hours per week; the base case used for the figures on this page is 28 hours per week.
- →28 hours per week is equivalent to roughly 0.7 FTE of reception capacity — about 28% of the original 2.5 FTE reception function.
- →Better slot utilization through prepayment workflows and automated attendance confirmation.
Economic impact
The ~€19.3K figure is the annualized gross-salary-equivalent value of released capacity — not automatically realized cash savings, payroll reduction or profit.
That value is realized when the clinic uses the released capacity to avoid additional hiring, serve more patients, respond faster, improve calendar utilization or reallocate staff to higher-value work.
Business transformation
More inquiries → More manual work → More administrative load → More headcount pressure
More inquiries → AI handles predictable operations → People handle exceptions → Existing team gains additional capacity
The primary outcome was not the introduction of AI. It was a change in the economics of the reception process.
Key insight
Sermed Clinic did not need AI for the sake of AI. A significant share of human capacity was being consumed by work that did not require human judgement. Aigenrix identified the operational leakage, redesigned the workflow, introduced AI where it was economically justified, and measured the result: roughly 28% of reception capacity released, worth an estimated €19,300 a year in capacity value, for an estimated 176% first-year return and a payback of about 4.3 months.
What stayed human
- →High-value consultations remained fully doctor-led from first contact through follow-up.
- →Final treatment decisions stayed manual — the AI never touches clinical judgement.
- →Complex patient scenarios continued to route to staff for human handling.
Honest tradeoffs
Where the rollout was not instant.
- →The first weeks required active manual supervision of AI replies before autonomy increased.
- →Tone calibration — matching the clinic's voice and Spanish medical phrasing — took roughly 2–3 weeks.
- →Edge-case patient scenarios still need staff intervention; the agent escalates rather than guesses.
- →Some conversational flows needed iterative optimization across the first month before they read naturally.
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