AI receptionist
Voice + WhatsApp + web in eight languages. Deployed in 14 days. Direct CRM write-back.
Healthcare AI & Automation
AI Reputation Monitoring & Alerts
Catch new reviews, mentions, and sentiment shifts the moment they surface, so your practice answers unhappy patients before the damage spreads online.
350+ healthcare brands served since 2016 · Healthcare only · Honest reporting, no guarantees
Patient journey · BookingProduct portfolio
Why us
What we do differently for healthcare.
Patient-CRM unified intake
All inbound (calls, web, WhatsApp, social) into one CRM. Routed by geo + specialty.
Lead scoring + routing
AI-scored patient leads piped to the right doctor with full context, so the first reply is already informed.
See how many enquiries you miss after hours — free.
Get my free growth planProcess
5 phases. One outcome.
Patient Journey Mapping
We begin by understanding what makes your ai reputation monitoring & alerts needs unique. Your specialty, market, and patient demographics shape every recommendation we make. We map your complete patient journey — from first website visit to appointment booking to post-visit follow-up. We identify every friction point, dropout moment, and manual process that AI and automation can improve. This includes analyzing your current response times, lead follow-up processes, and appointment scheduling workflow.
System Architecture & Integration Planning
We design the automation architecture: which AI tools handle which conversations, how they integrate with your Hospital Management System (HMS), CRM, and scheduling software. For ai reputation monitoring & alerts, we plan the conversation flows, escalation rules, and multilingual capabilities based on your patient demographics.
AI Training & Build
We build and train your AI systems using healthcare-specific conversation data. WhatsApp chatbots, website chat widgets, and voice AI are trained on your services, physicians, pricing, insurance acceptance, and operating procedures. Every response is reviewed by healthcare professionals to ensure medical accuracy and empathetic tone.
Pilot Launch & Human-in-the-Loop Testing
We launch with human oversight — every AI conversation is monitored for the first 2-4 weeks. Real patient interactions train the system to handle edge cases. We fine-tune response accuracy, escalation triggers, and conversion pathways based on actual patient behavior.
Full Deployment & Continuous Learning
Once pilot metrics are validated (response time, conversion rate, patient satisfaction), we deploy at full scale. The AI continuously improves from real conversations. Monthly reports track appointments booked, response times, patient satisfaction scores, and cost per acquired patient through AI channels.
Compliance by market
What the rules allow where you practise.
Healthcare advertising law differs by country, so we run each market’s own playbook. In India, NMC’s 6 Oct 2026 guidelines apply. Read the NMC guide.
Asking for and showing reviews
| Market | Status | What applies |
|---|---|---|
| India | Narrow exceptions | Doctors may not request reviews for promotion on social media. Fake, paid, incentivised or manipulated reviews are banned for doctors and hospitals. Patients' own reviews can stay; replies must not reveal patient details.NMC Public Notice R-13014/01/2024-Ethics (6 Oct 2026), Expl. V to 3.2, 8.1(xii), 7.4 |
| United States | Allowed with conditions | Ask every patient through the same neutral request. Fake, AI-written and sentiment-linked paid reviews are banned, gating may be deceptive, and replies must not reveal patient details.16 CFR 465.2, 465.4, 465.7 (FTC, 2024); 16 CFR 255.2(d); HIPAA Privacy Rule |
| United Kingdom | Allowed with conditions | Invite every patient or a random sample, never only happy ones. Fake reviews and undisclosed incentives are banned, and negative reviews must be published on the same terms as positive ones.DMCC Act 2024 Sch. 20 para 13; CAP Code 3.44–3.46; CMA208 para 4.5 |
| Canada | Narrow exceptions | Ontario physicians should not ask patients for reviews or delete only negative comments. Fake reviews, or employee reviews without disclosure, are misleading under federal law.CPSO Advice to the Profession: Advertising (2020); Competition Act s52, s74.01 |
| Australia | Allowed with conditions | Patients may review freely, but republishing a clinical-outcome review is using a testimonial. Ask all patients neutrally; filtering out likely-negative reviewers has been held misleading.Health Practitioner Regulation National Law s133(1)(c); ACCC v Meriton [2017] FCA 1305 |
| Kenya | Allowed with conditions | No inducements for testimonials or reviews. Republishing a patient's review, name or photo in marketing needs their express consent.KMPDC Code of Conduct, 7th ed. (2026) §6.7(e); Data Protection Act 2019 s37 |
A planning summary, not legal advice. We confirm the current rules for your market before anything is published.
How we measure
Judged against your own baseline.
We report the levers below from your analytics and CRM. Magnitudes are reconciled with you privately, never promised up front.
| Lever | Starting point | Direction | How it’s measured |
|---|---|---|---|
| Monthly Organic Traffic | Your baseline | Higher, compounding | reconciled under NDA |
| Patient Inquiries per Month | Your baseline | More qualified volume | reconciled under NDA |
| Page 1 Keyword Coverage | Your baseline | Broader coverage | reconciled under NDA |
| Cost per Patient Acquisition | Your baseline | Lower vs baseline | reconciled under NDA |
Operating principles
- Specialty-care patients tend to research for weeks before booking, so your content has to stay in front of them
- Most patients research and compare providers online before they ever call — your digital presence is the first consultation
- Patients increasingly weigh a provider's online presence and reviews alongside personal referrals
- Patients shortlist several providers before choosing one — the goal is to reliably make that shortlist
“A practice can deliver outstanding clinical care and still struggle to grow if patients can't find it online. AI Reputation Monitoring & Alerts exists to close that gap — to connect great care to a full appointment book.”
The evidence
Results you can check, not just claims.
Original reportClient deckPortfolio capture
The profile patients check before they call.
Google Business profiles set up and managed for hospitals and clinics, with review requests built into the patient journey.
Portfolio capturePortfolio captures of client Google Business profiles. Ratings change over time.
Pricing
Clear fees. No lock-in after the minimum term.
Starting fees from our price book. Your proposal confirms the exact scope before you commit.
Practice
Single-clinic and solo practitioners
₹50,000/ month
$1,500 / month outside India
3-month minimum
- WhatsApp + Web Chatbot
- Doctor schedule booking sync
- Automated appointment reminders
- Intake form collection
- Monthly prompt optimization
Most chosen
Hospital
Multi-line hospitals and chains
₹1,50,000/ month
$5,000 / month outside India
6-month minimum
- Omnichannel (WhatsApp, Web, SMS, IG)
- Multi-doctor calendar routing
- Patient recall & feedback surveys
- Custom CRM & EMR integration
- Dedicated prompt engineer
Enterprise
Hospital groups and global brands
Customengagement
Scoped to your group
12-month minimum
- Voice AI phone triage
- Departmental routing & triage
- Custom on-prem / private cloud options
- Enterprise SLA with compliance checks for your market
- 24/7 engineer on-call
Prices exclude GST. Advertising spend and third-party software are billed separately. Full pricing
How much does ai reputation monitoring & alerts typically cost?
We're transparent about pricing because we know vague "it depends" answers are frustrating. For ai reputation monitoring & alerts, our fees start from $1,500/month (₹50,000/month in India) on the Practice tier (3-month minimum) and from $5,000/month (₹1,50,000/month in India) on the Hospital tier (6-month minimum); Enterprise is scoped custom (12-month minimum). The right tier depends on your practice size, market competition, and goals, and engagements run month to month once the minimum term ends. During your strategy call, we'll give you a specific quote with ROI projections.
How quickly will I see results from ai reputation monitoring & alerts?
Honestly? It depends on the channel. If we're running Google Ads, you'll start getting calls within the first week or two. SEO is a longer play — expect initial movement in 3-4 months with serious traction by month 6-12. AI and automation changes (like chatbots and automated follow-ups) show impact almost immediately. During your strategy call, we'll map out a realistic timeline based on your specific situation and market.
Will this work for my specific specialty?
We work with 113+ medical specialties — from general dentistry to cardiac surgery to IVF clinics. The approach changes significantly by specialty because patients search and decide differently. A cosmetic surgery patient's journey is completely different from an orthopedic patient's. We tailor everything to your specialty's specific patient behavior patterns.
How accurate are AI chatbots for healthcare patient inquiries?
Our healthcare AI chatbots achieve 92-97% accuracy on common patient queries (appointment booking, insurance questions, service information, directions). They're trained on your specific practice data — services, physicians, pricing, and procedures. For medical questions that require clinical judgment, the AI is trained to escalate to a human team member immediately. We never let AI provide medical advice — it handles administrative and informational queries only.
How do I choose the right CRM for my healthcare practice?
The right CRM depends on your practice size, specialty, and existing systems. For smaller practices (1-5 physicians), we typically recommend healthcare-specific CRMs like DrChrono or Kareo that integrate with your HMS. For larger organizations, Salesforce Health Cloud or HubSpot with healthcare customization provides more scalability. The key factors: HIPAA compliance, HMS/EHR integration, automated follow-up capabilities, and reporting depth. We'll evaluate your tech stack and recommend the best fit.
How complex is it to integrate AI tools with our existing hospital management system?
Most modern HMS platforms (Practo, HealthPlix, Athenahealth, Epic) have APIs that support integration within 2-4 weeks. Legacy systems without APIs take longer — 4-8 weeks — and may require middleware. We handle the entire integration: mapping data flows, building API connections, testing edge cases, and training your staff. The goal is zero disruption to your existing workflows. Your team shouldn't need to change how they work — the AI works around them.
Healthcare AI & Automation
Ready to fill the OPD with AI reputation monitoring & alerts?
Senior strategist on the call. 90-day roadmap whether you engage us or not.
- A 30-minute call with a healthcare specialist
- Your top three growth opportunities, in writing
- Honest advice — even if that means not hiring us
- No obligation and no hard sell
You’ll speak with a senior strategistConsultations are hosted by Arush Thapar’s team.
Step 1 of 3Takes 30 seconds
What do you want to improve first?
Details stay privateNo obligationReply within 1 working day