AI receptionist
Voice + WhatsApp + web in eight languages. Deployed in 14 days. Direct CRM write-back.
Draft blog posts, ad copy, and landing pages for your practice faster with AI assistance, keeping the marketing pipeline full without a bigger team.
350+ healthcare brands served since 2016 · Healthcare only · Honest reporting, no guarantees

Why us
Voice + WhatsApp + web in eight languages. Deployed in 14 days. Direct CRM write-back.
All inbound (calls, web, WhatsApp, social) into one CRM. Routed by geo + specialty.
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
We start with data, not assumptions. Our AI tools analyze your market, competitors, and patient search behavior to find the gaps in your ai content generation & optimization strategy. 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.
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 content generation & optimization, we plan the conversation flows, escalation rules, and multilingual capabilities based on your patient demographics.
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.
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.
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
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.
| Market | Status | What applies |
|---|---|---|
| India | Narrow exceptions | AI-generated promotional campaigns are prohibited. Other AI content must carry a source mark, and synthetic patients, voices or doctors are banned.NMC Public Notice R-13014/01/2024-Ethics (6 Oct 2026), 7.2 |
| UAE | Narrow exceptions | No health-regulator AI rule found. AI-made or retouched “results” would breach DHA image rules, and depicting public figures with AI without approval is a fineable media violation.DHA Standards for Medical Advertisement Content on Social Media (2022) §9.6; UAE Media Council warning (Sep 2025) |
| Saudi Arabia | Narrow exceptions | No MOH AI rule found. Synthetic patients or results would breach the ban on patient content and misleading ads, and misleading deepfakes are prosecutable.Saudi MOH Annex 10, advertising content controls (Ed. 4); Anti-Cybercrime Law; SDAIA Deepfakes Guidelines (non-binding) |
| United States | Narrow exceptions | AI-written reviews or testimonials from people who don't exist are banned, and AI avatars must not pose as real patients. California and Texas add AI disclosure duties for patient communications.16 CFR 465.2; 16 CFR 255.2(c); Cal. Health & Safety Code 1339.75; Texas TRAIGA (2026) |
| United Kingdom | Narrow exceptions | No AI-specific rule, and an AI label does not cure a misleading ad. AI patients, doctors or results presented as real would breach the CAP Code.ASA guidance on AI in ads (2025, 2026); CAP Code 3.1, 3.47–3.49 |
| Canada | Narrow exceptions | No AI-specific rule. Before/after must show actual, unmanipulated patients, so synthetic results are out. Ad Standards recommends #MadeWithAI labels.CPSO Advertising policy (2020); Ad Standards Influencer Marketing Disclosure Guidelines (Oct 2025) |
| Australia | Narrow exceptions | No AI-specific rule. AI-written patient stories are “purported testimonials”, and AI-altered outcome images breach the genuine-image requirement.Health Practitioner Regulation National Law s133(1)(c); Ahpra advertising guidelines (2020) |
| Kenya | Narrow exceptions | No AI-specific ad rule. AI is a support tool and the clinician stays responsible; synthetic patients or results breach the bans on misleading content.KMPDC Code of Conduct, 7th ed. (2026) §7.11; KMPDC Advertising Rules 2016 r5(1)(c), (g) |
A planning summary, not legal advice. We confirm the current rules for your market before anything is published.
How we measure
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 |
|---|---|---|---|
| Website Conversion Rate | Your baseline | Higher conversion | reconciled under NDA |
| Monthly New Patients | Your baseline | More new patients | reconciled under NDA |
| Patient Lifetime Value Captured | Your baseline | Stronger retention | reconciled under NDA |
| Online Reputation Score | Your baseline | Improved rating | reconciled under NDA |
Operating principles
“A practice can deliver outstanding clinical care and still struggle to grow if patients can't find it online. AI Content Generation & Optimization exists to close that gap — to connect great care to a full appointment book.”
The evidence
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
Starting fees from our price book. Your proposal confirms the exact scope before you commit.
Prices exclude GST. Advertising spend and third-party software are billed separately. Full pricing
We're transparent about pricing because we know vague "it depends" answers are frustrating. For ai content generation & optimization, 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.
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.
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.
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.
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.
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
Senior strategist on the call. 90-day roadmap whether you engage us or not.
Client portfolio · Healthcare websites