Team Collaboration Tools
Share best practices, benchmark performance and learn from your top-performing reps.
The AI sales operating system for health tourism
MedSales AI trains your team, gives them realistic AI patients to practise on and scores every conversation. Run the entire sales journey — from first contact to booking — on one platform.
Manage every step of winning international patients on one platform. Train your team, simulate real patients, and analyse every conversation.
A new coordinator rehearses objections against an AI patient before the live call, and can talk through the treatment from week one.
The stage where a conversation was lost is named specifically — the process becomes visible, not just the outcome.
See which channel actually delivers booked patients and steer spend by conversion rather than instinct.
From skill to conversion in four steps.

Treatment-based, slide-driven, narrated AI training. New hires sell like veterans from week one.

Realistic role-play with tireless AI patients — objection handling, closing and tone practice.

Instant, specific scoring and feedback on every conversation. AI shows you exactly where you lose patients.

Track conversion by country and channel, coach the gaps. KPI dashboard updates live.
Everything you need to train and empower your medical tourism sales team.
Share best practices, benchmark performance and learn from your top-performing reps.
Training, simulation and analysis are delivered in Turkish and English, so you answer international patients in their own language.
Company data is isolated at row level (RLS). Patient personal data is masked before it reaches the AI. Data is encrypted in transit and at rest.
Once your CRM data is uploaded, the system ranks today's enquiries against the patterns of deals you have won before — and gives a reason for each one.
The real reasons behind lost opportunities are mined and turned into simulation personas and quiz questions. Your team practises on the cases it actually lost.
We'll walk through an account set up with your own treatments — you don't have to keep reading.
Training, simulation, call analysis and CRM — four in one place, each feeding the next.
Your team does not memorise the treatment — it learns it, and how much is measured.
Let your coordinator meet the first difficult patient in a simulation, not on a live call.
See the process, not just the outcome: where exactly was the conversation lost?
Turn your CRM data into decisions in seconds, not weeks.
Upload your CRM data, then ask the way your team actually asks: “Which channel is really closing?”, “What changed since last month?”, “Why is this rep’s conversion down?” The assistant reads the data, answers, and shows its source.

Every number in an answer is automatically checked against your own data. A number that isn’t in your data cannot appear in the answer — this is a mathematical check, not an AI one. It works no matter what the model writes.
The assistant is tested regularly against a fixed 49-question benchmark. Latest score: 98%. If accuracy drops below threshold, the release is blocked.
It won’t forecast. Ask “what will next month look like?” and it will describe what actually happened and leave the decision to you. In healthcare, an invented projection costs more than no projection.
And if an answer is wrong? You correct it once — and it never makes that mistake again. See how it learns →
Your competitor can buy an AI tool too. But only your AI knows how your team wins, where each objection breaks, and how your pricing logic works — because it learns from you.
Your team asks the assistant, runs simulations, reads reports.
If an answer is wrong, you say “here’s the right one.” Once.
The system turns feedback into permanent insights.
It never makes the same mistake again. Permanently.
Train your AI not only with feedback, but with your own corporate knowledge. Every document you upload becomes an approved source — the risk of a fabricated answer disappears.
It studies the deals you actually won and lost: which channel really closes, where each objection breaks, what share of your losses come from a single cause. Nobody has to write a report — the data is already yours.
The system finds the real reason behind lost opportunities — say a large share of your losses are “couldn’t reach the patient”. Then it feeds that reason into your simulation scenarios and quiz questions. Your team doesn’t rehearse generic training; it rehearses the case it actually lost.
Learning isn’t a slogan here, it’s a number on your dashboard. How much the AI has gathered, how much of it is actually being used, and whether it produced measurable impact — each is shown separately.
And it's entirely yours. Your corporate memory is isolated at row level — no other company can ever see it. What your clinic learns stays in your clinic.
Bring an export from your CRM; in the first session we work out the real reason behind your losses together.
In a multi-tenant architecture every company's data is isolated at row level, and personal data is masked automatically.
Row-level security (RLS) makes cross-company data leakage architecturally impossible.
Patient personal data is scrubbed before it ever reaches the AI.
Per-company credits and billing — pay only for what you actually use.
Fully responsive web app — your team stays connected on any device, no install needed.
Built on state-of-the-art language models, sharpened with your clinic's own knowledge and feedback.
Understands context and nuance in patient conversations for far more realistic interactions.
A knowledge layer specific to your clinic that learns from your corrections. Not a generic model — a system sharpened by your own data.
Instant feedback on tone, pace, objection handling and closing techniques.
Flexible plans scaled to the size of your team.
For clinics that want to train and drill their sales team through simulation.
Training grows your team; Management starts thinking alongside it. The AI assistant, CRM intelligence and institutional memory live here.
Request a demo and we'll produce a conversion read-out of your funnel in the first session.