Growth starts with understanding
We help you understand what is holding your business back, then prioritize and implement the right marketing, AI, and automation. Starting with healthcare practices in Riyadh.
Where can growth get stuck?
We review the customer journey and how your team works to identify opportunities to improve.
Missed inquiry follow-up
An inquiry arrives, then slips between appointments and manual handoffs — losing both the prospective patient and the opportunity.
Disconnected tools
Separate systems for the clinic, marketing, and communication, so information doesn't move smoothly between them.
Repetitive work
Administrative tasks that consume the team's time daily and could be automated or AI-supported.
Where AI actually helps
Many technologies are available, but it's unclear exactly where they make a real difference in your business.
Three connected capabilities for growth
We start with understanding, then apply what suits you from these capabilities together.
Marketing & growth
We clarify how your practice appears to those searching for it, and design a clear journey from inquiry to appointment.
Practical focus areas:
- Positioning & messaging
- Customer journey
- Landing pages
- Campaigns & conversion
Attract
Positioning & message
Inquire
Clear landing page
Follow up
Connected patient journey
An illustrative way of connecting messaging with inquiries to avoid lost opportunities.
AI strategy & implementation
We identify the AI applications that fit, test the quality of their output, and help the team use them in day-to-day work.
Practical focus areas:
- Use-case discovery
- Internal knowledge assistants
- AI-supported administrative work
- Output evaluation & team adoption
Your knowledge
Policies & internal SOPs
AI assistant
Summaries & task drafting
Team review
Human-in-the-loop validation
An illustrative assistant using business knowledge, with output evaluation and team review before use.
Automation & connected systems
We connect tools so information flows and tasks complete without repeated manual steps.
Practical focus areas:
- Lead routing
- Follow-up
- Workflow handoffs
- Practical integrations
Inquiry received
Capture from connected channels
Routing & handoff
Assigned to the right role
Follow-up workflow
Automated prompts & status
An illustrative workflow connecting tools and reducing repeated manual entry.
Four clear steps
A method starting with diagnosis and identifying growth constraints before selecting any tool or technology.
Understand
We start with a conversation to understand your business, goals, and what holds growth back — not with ready-made solutions.
Prioritize
Together we rank opportunities by impact and feasibility, focusing on what makes a difference first.
Implement
We implement the right marketing, AI, and automation solutions within a clear, agreed scope.
Review
We review progress and the results of what was implemented, and adjust course based on what we learn.
Clinic Growth & AI Diagnostic
We start with a conversation to understand your practice's needs, then decide together whether a deeper growth-opportunity diagnostic or a clearly-scoped implementation is most suitable.
Audience
Private clinics & complexes in Riyadh
Approach
Diagnostic preceding scoped delivery
Founders who understand business and technology
Founding leadership combining operational healthcare understanding, engineering management, and academic AI research.
Eng. Ahmed Al Abrashee
Co-founder · Healthcare & business growth
Experience in healthcare systems and patient engagement. He contributes to tokenIX with an approach that starts by understanding how a healthcare facility works and what holds its growth back, then turns that understanding into practical improvements.
Eng. Abdulmalik Al Harbi
Co-founder · Engineering & practical innovation
Civil engineer, project manager and entrepreneur with over ten years in engineering, consulting and business development. He combines an understanding of market needs with delivery management, and an interest in applying AI to turn practical problems into workable solutions and growth.
Dr. Ahmad Alhonainy
Co-founder · AI & machine learning
Academic and researcher in AI and machine learning, with a PhD in Machine Learning from the University of Missouri–Columbia. His interests include deep learning, federated learning and edge computing. He contributes his research and technical expertise to developing practical AI solutions that help facilities make use of their knowledge and data.
Discuss your needs with us
Tell us about your practice and your need. We'll respond to define the next step.