Is this a medical marketing or ad-management guarantee?

No. The package audits enquiry capture, response SLA, source attribution, booking handoff and owner visibility. It does not guarantee appointments, patients, revenue, ad performance, rankings or ROI.

Does AICS replace clinic management software, Practo, an EMR, Google Ads or Meta Ads?

No. AICS adds an operating and owner-dashboard layer around existing lead sources, WhatsApp, calls, forms, marketplace listings, ad accounts and healthcare CRM or appointment systems.

Is this DPDP, medical, legal or compliance advice?

No. This is an operational diagnostic. DPDP, legal, privacy, medical, compliance, advertising-policy and security decisions require qualified advisers and the clinic's own approvals.

What proof supports the package?

AICS publishes a clearly labelled simulated proof asset using synthetic Indian specialty clinic enquiry rows. It is not a real customer case study, testimonial, patient outcome or performance claim.

India specialty clinics · paid diagnostic package

India clinic ad-to-appointment diagnostic package

For specialty clinics that get demand from Google Ads, Meta Ads, WhatsApp referrals, web forms, listing sites, phone calls or healthcare CRM — but cannot prove which patient enquiries were contacted fast, assigned to staff, booked, showed, followed up or safely excluded from automation.

Request diagnostic fit check View simulated proof View India checklist

Claim boundary: this is an operating-readiness diagnostic, not medical advice, legal advice, privacy advice, DPDP compliance advice, ad-platform certification, clinic-management software, a patient booking service, a ranking promise, a revenue promise, an ROI promise, a testimonial or a real clinic case study.

Indicative starting scopeINR 75,000final scope, taxes, dates and payment route confirmed in writing

Diagnostic window7-10 daysafter access, data boundaries and owner availability are confirmed

Best fit1-10 location clinicsdental, eye, skin, fertility, wellness, diagnostics and specialty care

Primary outputOwner queueresponse, booking, source, consent and no-show gaps

What AICS inspects

Google Search, Meta, WhatsApp referral, phone, website-form and listing-site enquiry sources.
15-minute and same-day first-contact coverage by channel and staff owner.
Booking handoff, show/no-show status, no-show follow-up and unresolved patient enquiry queues.
Source attribution gaps where WhatsApp or referral leads cannot be credited reliably.
Consent/notice evidence and AI/SMS/WhatsApp automation boundaries before follow-up scaling.
Owner dashboard fields needed before increasing clinic marketing spend.

What the clinic receives

Channel-by-channel leakage map for ads, WhatsApp, forms, calls and marketplace/listing sources.
Staff ownership matrix: who owns first response, booking, no-show follow-up and escalation.
Ad-to-appointment operating dashboard outline with response SLA and unresolved queues.
Consent-evidence and source-evidence gap list for operational review; not a legal opinion.
30-day backlog for CRM tags, WhatsApp templates, owner review cadence and front-desk handoff.
Optional implementation proposal only after the diagnostic, with no pressure or unsupported claims.

Top-3 consideration gap

Why this package exists

Indian clinic owners often compare more ads, medical marketing agencies, appointment apps, Practo-style marketplaces, WhatsApp bots and healthcare CRM. The hidden bottleneck is usually not more demand; it is proof that existing demand receives a fast, owned and measurable handoff.

Buyer question	Common blind spot	AICS diagnostic answer
Are ads creating patient conversations or just lead counts?	Spend and lead volume are visible, but first response and booking handoff are not.	Map every ad enquiry to SLA, owner, status, booking/no-show and unresolved queue.
Can WhatsApp referrals be measured without breaking trust?	Referral chats may be socially effective but weak on source attribution and follow-up evidence.	Add source yes/no, staff owner, consent-evidence review and escalation markers.
Is automation safe to scale?	AI/SMS/WhatsApp workflows may start before consent, notice or clinical/sensitive boundaries are clear.	Create human-review queues and no-medical-advice/no-compliance-claim boundaries before scaling.
What does the owner see weekly?	Clinic teams report activity, not leakage by status and owner.	Build an owner dashboard with SLA misses, unresolved leads, no-show follow-up and channel gaps.

Proof path

AICS publishes a simulated India specialty clinic ad-to-appointment diagnostic using synthetic data so buyers can inspect the method before sharing real clinic exports.

Review the simulated proof asset

Commercial next step

Start with a fit check. AICS will confirm scope, data boundaries, written proposal, taxes, payment route, access, dates and safe claim language before any paid diagnostic begins.

Request diagnostic fit check

FAQ

Can this guarantee more patient bookings?

No. The diagnostic can surface leakage and owner-control gaps, but AICS does not guarantee appointments, patients, ad performance, rankings, revenue, ROI, medical outcomes or response-rate improvements.

Can this replace a clinic CRM, EMR, HMS, Practo, Google Ads or Meta Ads?

No. It is an operating layer around existing channels and tools. It does not replace clinical systems, booking marketplaces, ad platforms, EMR/HMS, billing software or qualified medical/legal/privacy/compliance advisers.

What evidence is required for a real clinic proof asset?

Written clinic approval, de-identified exports, source and spend evidence, appointment-status history, consent/notice artefacts, change logs, before/after dates and appropriate legal/privacy/compliance review would be required before publishing any real outcome.