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Case study · Pharmacy

Chronic carethat follows up itself.

A retail pharmacy chain operating across multiple locations in a major Middle Eastern market, managing chronic disease patient follow-up across MS, RA, oncology and asthma. Pharmacists and case managers carried heavy manual workloads: follow-up calls, refill checks, documentation and regulatory forms took a large share of staff time. Follow-up did not scale across disease lines, adverse event and adherence documentation was inconsistent, and the workflow was split between the store, the online pharmacy, WhatsApp and appointments.

Constraints and answers

Six pressures on one pharmacy, answered on one workflow.

The workflow that answers all six

01

Manual workload on pharmacists and case managers

Heavy manual workload for pharmacists and case managers: calls, refill checks, documentation, annex forms.

Answer

01

AI health management agent

Connects store, pharmacist, online and remote patient touchpoints into one workflow.

02

Follow-up did not scale across disease lines

Patient follow-up did not scale across the chronic disease lines.

Answer

02

Adherence AI

Refill reminders, symptom checks, adverse event detection and risk triage over messaging and calls.

03

Inconsistent adverse event and adherence records

Adverse event, symptom and adherence documentation was inconsistent, hurting compliance and risk detection.

Answer

03

AI recording card

Automated transcription and structured clinical documentation, reducing workload and improving compliance.

04

Work split across four separate channels

Workflows were fragmented between store, online pharmacy, WhatsApp and appointment services.

Answer

04

In-store AI transparent screen

Symptom-based guidance in the store, lifting OTC conversion and lowering pharmacist workload.

05

Content capped at about 30 videos

Content production capped at about 30 videos a month, which limited digital reach and brand visibility.

Answer

05

AI marketing engine

100 to 300 English and Arabic videos a month, for engagement, education and digital presence.

06

Weak visibility on generative AI platforms

Weak visibility on generative AI platforms, limiting organic customer acquisition.

Answer

06

Generative engine optimization

Structured knowledge and optimized responses, raising visibility in generative search flows.

The pharmacy reaches the patient between refills, and the record writes itself.

The results

Ten times the content, four channels, one workflow.

10x
CONTENT PRODUCTION
From 30 videos a month to 100 to 300.
4
CHANNELS UNIFIED
Store, online, WhatsApp, appointments.
5
DOCUMENTATION TYPES AUTOMATED
Annex forms, AdhereWell and clinical outcome.
4
DISEASE LINES COVERED
MS, RA, oncology and asthma.
24/7
ADHERENCE MONITORING
Refill reminders, symptom checks, AE detection.

Adherence is the clinical outcome. Everything else here exists to protect it.

The stack

What was deployed

One AI system joining in-store, online, messaging and call channels into a single patient care workflow.

Automated patient engagement over messaging and voice for adherence monitoring and symptom tracking.

AI transcription and structured form completion, taking the manual documentation burden off staff.

Interactive transparent screens giving real-time symptom guidance and product recommendations.

Automated multilingual content production, scaling digital education and brand presence.

Visibility across AI platforms, so patients find the pharmacy organically.

Note on Capabilities

The capabilities, credentials and deployment references shown across this site reflect the collective work of Amanah's core engineering team. Certain engagements were delivered under prior or affiliated entities. Sovereign deployments are confidential by mandate, so individual customers are not named. The underlying references are verifiable under NDA.

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