Strategic Meeting Overview
The context, objective, and what you need to walk out with.
Primary Objective
Secure PoC Agreement
Walk out with a commitment to a paid Proof-of-Concept. Ideal scope: MAHER AI assistant deployed for Tabuk's medical affairs or HCP-facing team — 60-day pilot, defined success metrics, SAR 150K–250K investment.
Deal Potential
$400K+
Year-1 contract potential across MAHER's full suite. Scalable to Tabuk's 17-country MENA footprint and parent company Astra Industrial Group.
Strategic Fit
Near-Perfect Alignment
MAHER is KSA-native, SFDA-compliant, Arabic-first, EHR-integrated, and Vision 2030-aligned. Tabuk is expanding into specialty pharma and needs exactly what MAHER delivers.
🎯 Your Win Conditions Today
Gold: Verbal commitment to PoC + budget approval in principle
Silver: Agreement to receive PoC proposal + follow-up meeting in <2 weeks
Bronze: Named internal champion + IT/procurement contact secured
Do NOT leave without at least the Silver outcome.
Silver: Agreement to receive PoC proposal + follow-up meeting in <2 weeks
Bronze: Named internal champion + IT/procurement contact secured
Do NOT leave without at least the Silver outcome.
⚡ Your Biggest Leverage Point
Tabuk is launching 6 new products in 2025–2026 — oncology, biosimilars, antibiotics, diabetes. Each launch means surging HCP inquiries, medical documentation burden, and training needs. MAHER solves all three simultaneously. The timing is perfect.
MAHER vs. The Status Quo — Why Now?
📋
Problem 1
Documentation Overload
Doctors & medical reps spend 40%+ of time on admin — reports, notes, consents. MAHER automates it all.
💬
Problem 2
HCP Inquiry Volume
New product launches flood medical affairs with clinical questions. MAHER handles 80% automatically, in Arabic + English.
🎓
Problem 3
Training & Education
Onboarding new reps and educating HCPs on specialty products is slow and expensive. MAHER generates tailored training materials instantly.
⚖️
Problem 4
Regulatory Risk
Manual processes create compliance gaps — consent forms, AE reports, insurance claims. MAHER automates with full SFDA audit trails.
MAHER AI — Product Suite (med-maher.com)
What you're actually selling — all features sourced directly from MAHER's platform.
🧠 What is MAHER?
MAHER is a KSA-native AI platform for healthcare professionals and organizations. It provides context-aware AI assistance for clinical workflows, medical documentation, HCP education, and administrative automation. Fully bilingual (Arabic + English), SFDA-compliant, EHR-integrated, and built around Vision 2030 digital health objectives. Onboarding takes days, not months, with zero operational disruption.
AI Clinical Assistant
Context-Aware HCP Guidance
The core MAHER AI agent — trained on real HCP workflows and medical content. Gives instant, context-aware answers to clinical and administrative questions for doctors, nurses, and medical staff. Supports both Arabic and English natively.
Key Capabilities
- Context-aware guidance for doctors and medical staff
- Quick answers to clinical and administrative questions
- Trained on real HCP workflows and medical content
- Full Arabic + English bilingual support
- AI-assisted clinical decision support
Medical Documentation AI
Automated Reports & Notes
Automates the most time-consuming administrative burden in healthcare. MAHER generates medical reports, clinical notes, documentation, and study materials instantly — freeing clinicians to focus on patient care.
Automates
- Medical documentation & clinical reports
- Patient education materials
- Proposal & grant writing
- Insurance claims templates
- Study materials for medical education
AI Surgical Consent Explainer
Patient Communication & Compliance
A specialized AI module that explains surgical consent forms to patients in clear, accessible language — in Arabic and English. Ensures informed consent is genuinely understood, reduces legal risk, and improves patient satisfaction scores.
Benefits
- Explains complex procedures in plain language
- Arabic-native patient communication
- Reduces time spent by surgeons on consent explanations
- Full compliance documentation trail
- Improves patient understanding & satisfaction
Medical Education AI
Training & Professional Development
MAHER curates and generates tailored medical education resources, training materials, proposals, and educational content — supporting continuous professional development for healthcare staff and enabling fast onboarding.
Education Capabilities
- Tailored training material generation
- Clinical insights and medical education resources
- Onboarding content for new staff
- Medical simulation scenarios and case studies
- Continuous professional development content
Secure Healthcare Data Platform
Enterprise-Grade Compliance
The infrastructure layer that makes MAHER enterprise-safe. End-to-end encryption, role-based access control, and full compliance with Saudi healthcare regulations and international data privacy standards.
Security & Compliance
- End-to-end encryption
- Role-based access control (RBAC)
- Fully aligned with KSA healthcare regulations & SFDA
- Supports Vision 2030 digital health initiatives
- International data privacy standards compliance
AI Integration
Seamless AI Integration
MAHER integrates seamlessly with existing hospital and clinic systems — EHR, CRM, hospital management software, and other healthcare IT systems. Most organizations are live within days. No downtime during implementation. 24/7 technical and functional support included.
Integration Details
- Integrates with EHR, CRM, hospital management & existing healthcare IT
- Implementation in days — not months
- Zero operational downtime during setup
- 24/7 technical + functional support
- Full training for doctors, admins, and IT included
New Product: AI Advisory Board Generator
MAHER generates complete, structured Advisory Board content on any medical topic — instantly. Try it live below.
AI Advisory Board Generator
On-Demand Medical Advisory Content
MAHER's Advisory Board Generator allows pharmaceutical and healthcare organizations to instantly create structured, professional advisory board content for any medical topic. Simply tell MAHER which topics you want to cover — it builds the full agenda, discussion points, background briefs, key questions, and recommended expert profiles.
What It Generates
- Full advisory board agenda & session structure
- Clinical background brief per topic
- Key discussion questions for each session
- Recommended KOL / expert profiles needed
- Pre-read materials and supporting data summaries
- Post-board action items & documentation template
- Arabic + English output for MENA boards
Tabuk Use Cases
- Advisory boards for hospital adoption strategy
- Oncology KOL board for launch in KSA + GCC
- Therapeutic area boards: Diabetes, Biosimilars, CNS
- Scientific advisory for regulatory submissions
🎯 Live Demo — Try It Now
Enter the topics you want your advisory board to cover. MAHER AI will generate the full board content instantly.
Step 1 — Choose Your Topics
Add the medical or scientific topics you want this advisory board to address. You can add up to 5 topics.
Quick add:
Antibiotic resistance
Oncology biosimilars
T2D management
GI disorders
Pharmacovigilance
Biosimilar safety
Step 2 — Board Details
Organization
Board Type
💡 MAHER's 4-Step Customer Journey (Use This in Your Pitch)
Step 1 — Create: Set up MAHER account in minutes.
Step 2 — Ask & Automate: AI assistant handles reports, notes, and study materials instantly.
Step 3 — Learn & Improve: Access tailored medical education resources and clinical insights anytime.
Step 4 — Save Time for Patients: Less paperwork, more patient care.
Step 2 — Ask & Automate: AI assistant handles reports, notes, and study materials instantly.
Step 3 — Learn & Improve: Access tailored medical education resources and clinical insights anytime.
Step 4 — Save Time for Patients: Less paperwork, more patient care.
Tabuk Pharmaceuticals — Intelligence Brief
Everything you need to know about your prospect before walking into the room.
1994
Founded, Riyadh KSA
17
Countries, MENA & Africa
2,400+
Employees, 4 manufacturing sites
2B+
Base units produced annually
Therapeutic Portfolio (12 Areas)
| Area | Recent Activity | MAHER Fit |
|---|---|---|
| Anti-Infectives | launched Sep 2025 (KSA) | High — HCP chatbot |
| Oncology | New oncology product deal, Polaris | Critical — launch docs |
| Gastrointestinal | MENA expansion | Critical — education AI |
| Diabetes | New T2D combo therapy deal Dec 2025 | High — patient comms |
| Dermatology / Immuno | New immunology biosimilar | High — clinical notes |
| Cardiovascular | Core portfolio, high volume | Medium — documentation |
| Central Nervous | Established products | Medium — rep training |
| Respiratory / Allergy | Established products | Medium |
| Musculoskeletal / Bone | New osteoarthritis pipeline product | Medium |
| Hospital Products | Specialty hospital portfolio | High — consent AI |
2025–2026 Key Moves
6 New Product Launches — High Training & Documentation Need
🔬 New oncology product — first-in-class arginine therapy, KSA + GCC
💉 New IV antibiotic — hospital-acquired pneumonia, hospital-only
🍬 () — GI, expanded to more MENA markets
🧬 New immunology biosimilar — KSA
🩸 New oncology supportive therapy — Hanmi partnership
🩺 New T2D combo therapy — MENA
💉 New IV antibiotic — hospital-acquired pneumonia, hospital-only
🍬 () — GI, expanded to more MENA markets
🧬 New immunology biosimilar — KSA
🩸 New oncology supportive therapy — Hanmi partnership
🩺 New T2D combo therapy — MENA
Parent Company — Expansion Opportunity
Astra Industrial Group (Listed, KSA)
A MAHER deal with Tabuk creates a direct pathway to a group-level contract. Manufacturing sites in Tabuk, Dammam, Sudan, and Algeria — all potential MAHER deployment markets.
Current Tech Stack (Public Data)
Microsoft IIS
Angular 4
K2 Platform (workflow)
Freshservice (support)
No known AI layer yet
Traditional CRM assumed
🔍 Stack Insight for Your Pitch
They use K2 for process workflows and Freshservice for support — both familiar with automation concepts. No active AI platform detected. This means MAHER enters as a net-new capability, not a replacement. Position it as the AI intelligence layer that plugs into their existing Microsoft and EHR infrastructure. Low political risk, high adoption potential.
MAHER Product → Tabuk Pain Mapping
Exactly which MAHER module solves which Tabuk problem. Use this to anchor your pitch.
| Tabuk Pain Point | MAHER Solution | Specific Feature | Expected Impact | Priority |
|---|---|---|---|---|
| HCPs flood medical affairs with , , inquiries post-launch | AI Clinical Assistant | Context-aware Q&A on clinical + product data | 80% query auto-response, <2 min vs 2-day response time | 🔴 Critical |
| Medical reps spending 40%+ time on paperwork, call notes, reports | Medical Documentation AI | Auto-generates reports, notes, templates | 35–40% admin time reduction per rep | 🔴 Critical |
| Hospital product launches require surgical consent communication (, ) | AI Surgical Consent Explainer | Patient-facing consent explanation in Arabic | Faster informed consent, lower legal risk, better patient scores | 🟡 High |
| Training 2,400 staff + HCPs on 6 new specialty products across 17 countries | Medical Education AI | Auto-generates tailored training & education content | 60% reduction in training material production time | 🟡 High |
| SFDA compliance risk with manual documentation and adverse event handling | Secure Healthcare Data Platform | End-to-end encryption, audit trails, role-based access | Full SFDA compliance, reduced regulatory risk | 🟡 High |
| Integrating AI without disrupting existing K2, Freshservice, EHR stack | AI Integration | API-first integration, days not months | Zero operational downtime, seamless deployment | 🟡 High |
| Insurance claims processing bottleneck in hospital products division | Medical Documentation AI | Insurance claims template automation | Faster claims, fewer rejections, improved cash flow | 🟢 Medium |
| Patient communication in Arabic for chronic disease management (Diabetes, CVD) | AI Clinical Assistant + Consent AI | Personalized Arabic patient communication | Improved patient adherence and satisfaction | 🟢 Medium |
🏆 Recommended PoC Scope
Product: MAHER AI Clinical Assistant + Medical Documentation AI
Use Case: Medical affairs team — handling HCP inquiries for + launches
Timeline: 60 days to live deployment
Languages: Arabic + English
Investment: SAR 150,000 – 250,000
KPIs: Query response time, auto-resolution rate, team time saved
Use Case: Medical affairs team — handling HCP inquiries for + launches
Timeline: 60 days to live deployment
Languages: Arabic + English
Investment: SAR 150,000 – 250,000
KPIs: Query response time, auto-resolution rate, team time saved
📈 Upsell Roadmap (Post-PoC)
Month 3: Add AI Surgical Consent Explainer for hospital products
Month 4: Medical Education AI for rep onboarding + HCP training
Month 6: Full rollout across KSA commercial team (2,400 staff)
Month 9: Expand to UAE, Jordan, Kuwait markets
Year 2: Astra Industrial Group-level enterprise contract
Month 4: Medical Education AI for rep onboarding + HCP training
Month 6: Full rollout across KSA commercial team (2,400 staff)
Month 9: Expand to UAE, Jordan, Kuwait markets
Year 2: Astra Industrial Group-level enterprise contract
Recommended Meeting Agenda — 90 Minutes
A structured flow designed to move from rapport to a PoC commitment.
0:00
Introductions & Agenda Confirmation
Open with a Tabuk-specific hook: "Congratulations on the launch and the oncology deal — today we want to show you how AI can accelerate all of it." Set the 90-min agenda, confirm attendees' roles.
0:10
Discovery — Tabuk's Current Reality
Ask 4–5 targeted discovery questions (see Tab 07). Focus on: documentation burden, HCP inquiry volume, new product training challenges, compliance pain. Listen more than you talk.
0:25
MAHER Overview — 5 Minutes Max
Brief intro: "We build AI specifically for healthcare organizations in KSA. Arabic-first, SFDA-compliant, EHR-integrated. We're live in a few days, not months." Then stop — don't over-present before you've confirmed their pain.
0:30
Live Demo — AI Clinical Assistant
Demo the AI assistant handling a real question about or — dosing, contraindications, or a clinical scenario. Do it in Arabic first, then English. Make it viscerally real.
0:45
Demo — Medical Documentation AI
Show how MAHER generates a clinical report, insurance claim template, or patient education material in under 30 seconds. Quantify time saved per rep per day.
0:55
Full Product Roadmap — Tabuk-Specific
Show the 12-month vision: AI assistant → Documentation AI → Consent Explainer → Education AI. Present it as a Tabuk-specific transformation roadmap, not a generic product deck.
1:05
ROI Discussion & Business Case
Present benchmarks: 40% admin time reduction, 80% query auto-resolution, days-to-deploy. Show how this supports Vision 2030 digital health KPIs — which is a justification Tabuk leadership will use internally.
1:15
PoC Proposal & Close
Present the 60-day pilot: MAHER Clinical Assistant for medical affairs ( + ). SAR 150K–250K. 3 agreed KPIs. Ask: "Does this scope make sense? Who do we involve from IT and procurement to move this forward?"
🔑 Do Not Leave Without These
Named internal champion ✦ IT/procurement contact ✦ Agreed PoC scope (even in principle) ✦ Confirmed follow-up date ✦ Understanding of their budget cycle and approval chain
Talk Tracks & Key Messages
Exact language for the moments that matter most in this meeting.
Opening Hook — Use After Introductions
"Tabuk is at a genuinely exciting moment — you've just launched , you're entering oncology with , you've expanded across MENA, and you have 6 new products in motion. Every one of those launches means more HCP inquiries, more training, more documentation, more compliance requirements. MAHER was built exactly for this moment — to give your medical and commercial teams an AI brain that handles the operational weight, so your people can focus on what they do best."
📌 Cite their actual product names. Nothing signals preparation like knowing their pipeline.
On the AI Clinical Assistant
"When a physician in Riyadh asks at 11pm about the dosing protocol for in a renal-impaired patient — they can't wait two days for a response from your medical information team. MAHER answers that question in under two minutes, in Arabic, with full referenced clinical accuracy, and logs it for SFDA compliance. Your medical affairs team wakes up to a report, not a queue of unanswered queries."
📌 Make it concrete with a real scenario tied to their new products. is a hospital-only IV antibiotic — complex dosing questions are very common.
On Medical Documentation AI
"Your medical reps and doctors are spending roughly 40% of their day on paperwork — visit notes, reports, insurance claims, patient education materials. That's almost half their time not spent on patients or HCPs. MAHER cuts that to minutes. A report that takes 45 minutes to write manually takes MAHER 30 seconds. Multiply that across your 2,400 employees and the impact is immediate and measurable."
📌 Follow this with the Step 2 demo — show them the documentation feature live.
On Vision 2030 Alignment
"MAHER was designed specifically for the Saudi Vision 2030 digital health mandate. We're not a global platform adapting for KSA — we're a KSA-native platform built from day one for SFDA regulations, Arabic-first workflows, and the Kingdom's health transformation goals. For Tabuk leadership, this isn't just an operational investment — it's a strategic alignment with national objectives."
📌 Use this when discussing with senior leadership. It provides internal justification for the budget ask.
On the Surgical Consent Explainer
"For your hospital products — is an ICU-level antibiotic — the consent and patient communication piece is critical. MAHER's Consent Explainer takes complex procedure language and makes it genuinely understandable to Arabic-speaking patients in minutes. It reduces the time your surgeons spend on consent conversations, it improves patient understanding scores, and it creates a full compliance trail. It's one of the highest-ROI features we have for hospital-focused pharma."
📌 Use this specifically when discussing hospital products or specialist launches.
PoC Close — End of Meeting
"I'm not asking you to make a big platform decision today. What I am proposing is a 60-day pilot — we deploy MAHER's AI Clinical Assistant for your medical affairs team, specifically around and . We define three success metrics together before we start. After 60 days, you have real data to decide whether to scale. The investment is SAR 150,000 to 250,000 — designed to be defensible and low-risk. We can be live within days of signing. Who do we need to involve from IT and procurement to move this forward?"
📌 End with a process question, not a yes/no question. It moves the conversation forward without pressure.
Discovery Questions — Click to Reveal Strategy
10 targeted questions. Click each to see why it matters and what answer to listen for.
Strategic & Pain Questions
▶
Q01
With 6 new product launches this year, how is your medical affairs team currently handling the increase in HCP inquiries?
Listen for: Queue backlogs, response time issues, team capacity strains. This directly opens the door for MAHER's AI Clinical Assistant. If they say "we're managing fine," probe deeper — "what's your average response time?" 2+ days is the pain threshold.
▶
Q02
How much time do your medical reps spend on documentation, reports, and admin each day?
Listen for: Anything over 2 hours/day is a clear pain point (industry average is 3–4 hours). This is the direct opening for Documentation AI. Quantify it — "how many reps do you have in KSA?" lets you calculate total hours lost per week.
▶
Q03
How are you currently training your team on new specialty launches like and ?
Listen for: Manual training sessions, printed materials, outsourced eLearning. All of these are slower and more expensive than MAHER's Education AI. Specialty products (oncology, biosimilars) require especially deep training — the pain is high.
▶
Q04
What's your current process for patient communication and surgical consent — especially in Arabic?
Listen for: Manual translation, surgeon time spent on explanations, patient misunderstanding issues. This is the direct opening for the Surgical Consent Explainer. Hospital products ( = ICU use) make this acutely relevant.
▶
Q05
Where does AI transformation rank on your 2026 executive agenda?
Listen for: Top-down mandate (easy budget) vs. bottom-up interest (you need to help build the business case). Also reveals if there's a competing AI initiative already in motion — which you'd want to know early.
Technical & Budget Questions
▶
Q06
What EHR or hospital management systems are you currently running?
Listen for: System names — Epic, Oracle Cerner, local systems. This lets you confirm MAHER's integration approach. MAHER integrates with existing hospital and healthcare IT systems within days. Having the system name also lets you prepare a specific integration story.
▶
Q07
Have you piloted any AI tools in your clinical or commercial functions before?
Listen for: Prior AI experience, failed projects (become objections), or vendor relationships. If they say "we tried X and it didn't work," that's critical — ask what went wrong. Positions MAHER's KSA-native, no-disruption approach as the solution to past failures.
▶
Q08
Who would be the key stakeholders for an AI decision like this?
Listen for: Decision-maker (VP/C-level), IT owner, medical affairs lead, compliance/legal. You need to know who's in the room and who's missing. If the decision-maker isn't present, ask how to get them involved before you submit the PoC proposal.
▶
Q09
What would a successful AI pilot look like to you — what metrics would make you say 'this worked'?
Listen for: This is the most important question. Their answer becomes your PoC KPIs. Common answers: query response time, team hours saved, HCP satisfaction score, documentation quality. Write these down — they go into your proposal verbatim.
▶
Q10
Is there a digital transformation budget allocated for the second half of 2026?
Listen for: Budget confirmed = accelerate to proposal. Budget not confirmed = shift to helping them build the business case. Frame it as "We want to scope the pilot to fit your current planning cycle — are you working to a specific budget or timeline?" — softer but equally informative.
Objection Handling Playbook
The most likely objections you'll face and exactly how to turn them around.
⚠️ Objection
"We're concerned about SFDA compliance and patient data security with an AI system."
✅ MAHER Response
"MAHER was built from day one for KSA healthcare regulations. We use end-to-end encryption, role-based access control, and we're fully aligned with SFDA requirements and Vision 2030 digital health objectives. We can share our compliance architecture and data processing agreements in writing. For the pilot, we'd focus on non-patient data — clinical product information — so there's zero PHI exposure in phase one."
⚠️ Objection
"How reliable is the Arabic language quality? Our HCPs and patients communicate primarily in Arabic."
✅ MAHER Response
"Arabic isn't an add-on for us — it's the primary language MAHER was designed for. Ask me a clinical question in Arabic right now and I'll show you. We can also build Arabic NLP accuracy as one of your PoC success metrics — so you have empirical proof before you scale."
⚠️ Objection
"We already have Microsoft tools and K2 workflows. Why do we need another system?"
✅ MAHER Response
"MAHER doesn't replace any of those — it integrates with them. Microsoft gives you productivity infrastructure; MAHER gives you healthcare-specific AI intelligence on top of it. K2 handles process workflows; MAHER handles clinical knowledge and documentation automation. They're complementary, not competitive. We're deployed as an API layer — your teams keep using the tools they know."
⚠️ Objection
"We're not ready for AI — our data isn't clean and we need to get our processes in order first."
✅ MAHER Response
"The AI Clinical Assistant is the perfect starting point precisely because it doesn't require clean internal data. It's trained on your approved product information — SmPCs, clinical summaries, IFUs — which you already have. We can be live in days without touching your internal databases. Data maturity becomes part of the roadmap, not the prerequisite."
⚠️ Objection
"How long does implementation take? We can't afford downtime with active product launches."
✅ MAHER Response
"Most healthcare organizations integrate MAHER within a few days. We design the implementation to be non-disruptive — zero operational downtime. Full training for your doctors, administrators, and IT staff is included. You don't need to pause anything. That's exactly why we're able to propose a 60-day pilot with a live launch included."
⚠️ Objection
"How do we justify this investment to management and Astra Industrial?"
✅ MAHER Response
"We'll build the ROI case together. The headline numbers: 40% reduction in rep admin time, 80% of HCP queries auto-resolved, days-to-deploy, and full Vision 2030 digital health alignment. We'll put all of this in the PoC proposal with Tabuk-specific projections. The pilot also gives you empirical data to justify the full-scale rollout internally — so you're not asking management to approve based on vendor claims, but on your own measured results."
Post-Meeting Action Plan
Exactly what to do in 48 hours to keep momentum and close the PoC.
Within 2 Hours
Meeting Recap Email
Send a brief, sharp email: 5 bullets covering what was discussed, their stated priorities, and your understanding of next steps. Attaches your credibility and keeps MAHER top of mind.
Within 48 Hours
PoC Proposal Document
Tailored 8–12 page document: specific scope for Tabuk, their agreed KPIs from the meeting, 60-day timeline, SAR investment, compliance architecture, and integration plan. Not a template — personalized to what they said in the room.
Within 1 Week
Follow-Up Review Call
20-min call to walk through the proposal. Get IT/procurement on the call. Goal: move from "interested" to "approved for procurement review." Ask for the next formal step.
Information to Collect Today
☐ All attendee names, titles, and roles
☐ Decision-maker vs. influencer vs. champion
☐ IT / procurement contact name
☐ Current EHR system and vendor
☐ Budget availability and approval process
☐ Decision timeline (target date)
☐ Top 2–3 success metrics they care about (PoC KPIs)
☐ Which product launch is highest priority for PoC
☐ Existing AI/digital health vendor relationships
☐ Any compliance/legal requirements for vendor onboarding
☐ Decision-maker vs. influencer vs. champion
☐ IT / procurement contact name
☐ Current EHR system and vendor
☐ Budget availability and approval process
☐ Decision timeline (target date)
☐ Top 2–3 success metrics they care about (PoC KPIs)
☐ Which product launch is highest priority for PoC
☐ Existing AI/digital health vendor relationships
☐ Any compliance/legal requirements for vendor onboarding
PoC Proposal Structure
📄 Executive Summary — Tabuk-specific, 1 page
🔍 Problem Statement — their language, their pain
💡 MAHER Solution — AI Clinical Assistant + Doc AI for +
📅 60-Day Plan — week-by-week milestones
📊 Success Metrics — 3 KPIs from the meeting
💰 Investment & ROI — SAR pricing + payback period
🔒 Compliance & Security — SFDA, encryption, data residency
🚀 12-Month Roadmap — scale vision post-PoC
🔍 Problem Statement — their language, their pain
💡 MAHER Solution — AI Clinical Assistant + Doc AI for +
📅 60-Day Plan — week-by-week milestones
📊 Success Metrics — 3 KPIs from the meeting
💰 Investment & ROI — SAR pricing + payback period
🔒 Compliance & Security — SFDA, encryption, data residency
🚀 12-Month Roadmap — scale vision post-PoC
🏆 12-Month Account Vision — Tabuk × MAHER
Month 1–2 (PoC): AI Clinical Assistant for medical affairs — + HCP inquiries
Month 3: Medical Documentation AI rollout for KSA commercial team
Month 4: AI Surgical Consent Explainer for hospital products ( ICU use)
Month 5–6: Medical Education AI — training materials for oncology launch
Month 7–9: Full KSA enterprise rollout (2,400 staff across commercial + medical affairs)
Month 10–12: Expand to UAE, Jordan, Kuwait, Qatar — MENA rollout
Year 2 Target: Astra Industrial Group enterprise contract — Sudan, Algeria operations included
Month 3: Medical Documentation AI rollout for KSA commercial team
Month 4: AI Surgical Consent Explainer for hospital products ( ICU use)
Month 5–6: Medical Education AI — training materials for oncology launch
Month 7–9: Full KSA enterprise rollout (2,400 staff across commercial + medical affairs)
Month 10–12: Expand to UAE, Jordan, Kuwait, Qatar — MENA rollout
Year 2 Target: Astra Industrial Group enterprise contract — Sudan, Algeria operations included