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About

Daisy Mutegi, founder of Mindset & Machines.

Thirteen years in pharma and global health across East and Southern Africa and the Horn, at Pfizer, AstraZeneca, Eli Lilly, Novo Nordisk and CHAI. Now building AI and automation systems for the same supply, access and programme work.

Book a 30-minute call →Message on WhatsApp
About
I come from the problem.
Not from the tech.

Thirteen years in pharma and global health across East and Southern Africa and the Horn. Medical and key account roles at Pfizer, AstraZeneca, Eli Lilly and Novo Nordisk. Compliance Lead and then Access to Care Manager for Middle Africa at Novo Nordisk. Then Programme Manager for type 1 diabetes markets at CHAI.

I've worked with distributors in five countries, prepared tenders, chased sell-out data and built access reports the night before reviews. I've watched stock sit close to expiry in one place while patients went without in another.

Computers were my first love. In 2024 I went back to them through data science, and then AI. Mindset & Machines is where the two meet: someone who knows the work, building the systems for it.

Daisy Mutegi, founder. BSc Biochemistry (First Class), PMP.

Where it started
"I walked into a local salon and saw the owner writing M-Pesa codes in a book. It was the same problem I'd spent 13 years fighting in health supply chains, just smaller."

Real demand, loyal customers, and no way to see what was happening. Not for lack of effort. For lack of visibility.

The path
2013 to 2020

Medical and key account sales

Pfizer, AstraZeneca, Eli Lilly and Novo Nordisk. Doctors, hospitals, pharmacies and distributors across the region.

2020 to 2021

Compliance Lead, Middle Africa

Novo Nordisk. Keeping commercial and access work inside the rules across many markets.

2021 to 2025

Access to Care Manager, Middle Africa

Novo Nordisk. An access programme that reached about 21,000 patients and supplied close to 1 million insulin vials.

2024

PMP and data science

Project management certification, then a data science certificate. The start of the AI work.

2025 to 2026

Programme Manager, T1D Markets

CHAI, ALIGN-T1D interim secretariat. Market shaping for type 1 diabetes in low- and middle-income countries.

2026 onwards

Mindset & Machines

AI systems for the health supply, access and programme work I know from the inside.

Track record

Numbers from the work itself.

13 yrs
in pharma and global health across East and Southern Africa
~21,000
patients reached by an insulin access programme I managed
~1 million
insulin vials supplied over that programme's lifetime
5
countries of distributor work: Kenya, Uganda, Tanzania, Rwanda, Ethiopia
What I believe

Five rules every build follows.

01

Visibility comes before strategy.

Before pricing, targeting or scaling, you need to see what's actually happening in the field. A clear view is a prerequisite, not a feature.

02

Simple systems beat complicated software.

A workflow your team uses every day is worth more than a platform they log into once. The measure of a system is adoption.

03

Health AI answers from trusted sources, or not at all.

Every assistant cites where its answer came from and is tested before anyone relies on it. If the source doesn't say, it says so.

04

Your data stays yours.

Systems run in your own accounts where possible, follow Kenya's Data Protection Act, and collect only what the job needs.

05

Nobody should need to be "techy" to use it.

If it needs a manual, it isn't finished. WhatsApp, voice notes and the reports people already read come first.

What I build

Where to start.

Supply and distributor visibilityRead more →Field-force trackingRead more →Access and donor reportingRead more →Patient access and supportRead more →Grounded health assistantsRead more →Chemist record keepingRead more →
Start here

Tell me what you're trying to track.

A few lines about your workflow is enough, without patient names or medical details. I'll reply within two working days with either a time for a call or an honest "this isn't the right fit".

Book a 30-minute call →Message on WhatsApp