Rural Health Triage Assistant

For

Pharmacy managers in low-resource regions

Solves

Patients in remote areas face long travel times and high costs to access basic medical advice.

Delivers

Triage decision, treatment plan, pharmacy voucher, doctor referral.

Built in

about 6 weeks of creation time, MVP in 7 days

Investment

$11,500 for the MVP, $47,500 for the full product

Run it

Inside your business, or as part of your offer to clients

For pharmacy managers in low-resource regions, turn patient symptom data and images into triage decisions and treatment vouchers.

1. Conduct symptom interview via voice or text.
2. Analyse skin conditions using computer vision.
3. Apply clinical triage protocols.
4. Generate treatment recommendations.
5. Issue pharmacy vouchers.
6. Escalate to human doctors for critical cases.

What goes in, what comes out

The workflow

1. In
   Start with

   Patient symptoms, voice notes, photos of affected areas, location data.

2. 1

   Receive patient message

3. 2

   Ask targeted questions

4. 3

   Request photo

5. 4

   Analyse inputs

6. 5

   Apply triage logic

7. 6

   Recommend treatment

8. 7

   Escalate if needed

9. 8

   Log visit

10. Out
    Finish with

    Triage decision, treatment plan, pharmacy voucher, doctor referral.

AI does the heavy lifting, people stay in charge

Use language models for symptom interpretation and computer vision for image analysis. A clinical reviewer must validate the medical protocol and escalation thresholds before deployment.

What your team sees

Key screens: Chat interface, symptom checklist, image analysis view, escalation queue. The main screen is the WhatsApp chat interface where the AI asks questions and displays results.

Accounts and administration

User profiles, consultation history, escalation logs, audit trails, version control for medical protocols.

Integrations and data access

WhatsApp Business API, M-Pesa payment gateway, Pharmacy inventory system.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   7 days

   One buyer segment, one recurring use case. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   8 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   3 weeks

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will pharmacy managers in low-resource regions use it to solve "patients in remote areas face long travel times and high costs to access basic medical advice"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Prove it with one pharmacy chain.
4. Measure, then decide. Track average consultation time and escalation rate to human doctors. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. One pharmacy chain, five common complaints, manual nurse review.

After the MVP. Automated follow-up checks, chronic disease management, multi-language support.

What the build depends on. Stable internet connectivity, WhatsApp availability, medical protocol database.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test pricing at 50 cents per consultation or a two dollar monthly subscription.

Message to test

Get the right care in seconds, not hours, via WhatsApp.

Where to find buyers

Rural health forums, pharmacy networks, mobile money agents.

Lead magnet

Free demonstration consultation.

The first 30 days

1. Week 1: Build the bot for five common complaints.
2. Week 2: Train the AI on KiSwahili and English.
3. Week 3: Integrate with pharmacy voucher system.
4. Week 4: Launch pilot with one pharmacy chain.

Paid pilot

Prove it with one pharmacy chain. Baseline: Current walk-in wait times. Decision: Adoption rate and patient satisfaction.

Success metrics

Average consultation time, escalation rate to human doctors.

Retention and expansion

Subscription renewal for unlimited access.

Why clients would pick it

Curated medical protocol database, integration with local payment systems, trust built through human escalation.

Alternatives and positioning

Walking to distant clinics, traditional healers, expensive private doctors.

Main delivery costs

AI inference costs, server hosting, nurse time for escalation.

Mandatory human escalation for red-flag symptoms, data privacy compliance, strict adherence to triage protocols.