Community pharmacist background with a patient-first operating lens.
AI consulting for customer-first businesses.
Karim Nassar helps operators design AI automation workflows that improve efficiency while protecting the customer experience that makes a business worth trusting.
founder-ledworkflow designcustomer experience
About Karim
From community pharmacy to digital healthcare scale-up.
The work starts with a simple operating belief: long-term trust beats short-term extraction.
Starting out as a community pharmacist in 2006, Karim saw how often large chain pharmacies failed to put patients first. He believed pharmacy could be more personal, more accessible, and more focused on the people it served.
When he took over a community pharmacy in Aberdeen in 2010, he put that belief into practice by reducing waiting times, adapting opening hours around patients' needs, and improving access to services as demand for online management grew.
In 2015, Karim and his co-founder Addy launched Simple Online Healthcare to make high-quality, affordable digital healthcare more accessible across the UK.
Karim's role moved quickly across digital marketing, product development, data analysis, customer service, and whatever else was needed to improve the patient journey and build a service people could trust.
Seven years later, Simple Online Healthcare had grown from a team of three into a business with more than 150 employees across multiple regions. After helping scale the company to over GBP 120 million in annual revenue, Karim stepped back in June 2025.
After a few months away, the rapid development of AI pulled him back in. His focus now is helping businesses use AI to remove repetitive work, listen better to customers, and deliver stronger service.
Helped grow Simple Online Healthcare from three people into a multi-region team.
Supported annual revenue growth beyond GBP 120 million before stepping back in 2025.
Designing automation around efficiency, care quality, and customer experience.
How it works
A practical consulting sprint, not AI theatre.
For operators who need useful systems, fast testing, and clear decisions rather than another strategy deck.
Founder diagnostic
Map the business model, customer journey, tools, constraints, and operational bottlenecks.
Workflow opportunity map
Prioritise where AI can remove repetitive work without weakening service quality or accountability.
Prototype and playbook
Design the first automation or assistant, plus the rules, prompts, handoffs, and measurement loop around it.
Implementation support
Guide the build, test edge cases, train the team, and turn the first win into a repeatable system.
Roadmap
The engagement follows the same logic Karim used to scale care.
Understand the customer, improve the journey, build only what earns trust, then keep iterating from real use.
Customer reality
Identify the moments where customers wait, repeat themselves, get confused, or fall through cracks.
Operational audit
Separate repetitive tasks from judgment calls so automation supports people rather than replacing care.
AI system design
Define the assistant, workflow, knowledge base, or internal tool that should ship first.
Build and handover
Create the operating playbook, team handoff, and measurement loop needed to make the system stick.
Scale what works
Use feedback to improve the workflow, reduce friction, and decide what deserves a second build.
What you get
Clear outputs your team can use.
The aim is not a deck that gathers dust. It is a sharper operating system for deciding what to build, test, and improve next.
AI opportunity map
A prioritised view of the workflows where automation should be explored first.
Journey improvement lens
A review of how AI can improve speed, clarity, convenience, and service quality.
Prototype specification
A practical brief for the first workflow, assistant, or internal tool.
Handoff and governance
Rules for ownership, quality checks, escalation, and continuous improvement.
Consulting
Work with Karim on your AI workflow.
Share the business, the customer journey, and the workflow you want to improve. The first job is deciding whether AI is genuinely the right lever.