Notes on giving AI
access to African business.
Guides, checklists, and architecture notes from the team building Msharti, for finance leads, IT admins, and compliance teams rolling out enterprise AI.
Company The Msharti Story
Why Msharti calls itself an Enterprise AI Access Platform, what governed access means, and why it's built for Africa first.
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What Is an Enterprise AI Access Platform? (And Why Every Business Needs One)
What an Enterprise AI Access Platform is, why Copilot adoption stalls without one, and how Msharti connects AI to the systems African business actually runs on.
Platform
Microsoft Copilot + Core Banking: A Security Checklist Before You Connect
A security checklist for banks and financial institutions before connecting Microsoft Copilot to core banking systems.
Security
How Every Department in Your Company Can Use AI: Without Creating a Security Mess
How Finance, Sales, Marketing, Support, HR, Engineering, and IT can each use AI safely, without creating a governance mess.
Enterprise AI
AI and Kenya Data Protection: What Every Business Needs to Verify Before Connecting Copilot or Claude
What Kenyan businesses must verify under the Data Protection Act before connecting Copilot or Claude to company data.
Compliance
Connecting M-Pesa to AI: What Kenyan Businesses Need to Know
What Kenyan businesses need to know before connecting M-Pesa Daraja to an AI assistant.
Connectors
Enterprise AI Access Platform vs Point-to-Point: Why Teams Are Moving to Governed AI Integration
Why governed AI access platforms are replacing point-to-point AI integrations, and what breaks when you don't use one.
Architecture
Adoption Is Not Automation
Your AI dashboard reports who logged in. It cannot tell you whether any work changed hands, and those are not the same question.
Enterprise AI
From Data Silos to AI Ready: What It Takes, and What It Returns
RAG is the wrong tool for most enterprise questions. Three worked models of what connected, governed data actually returns.
Architecture
Governing AI Access to African Data: A Reference Architecture for Purview and Msharti
Microsoft solved data classification and loss prevention. It did not solve letting AI reach M-Pesa or KRA. How Purview and an access layer divide that work.
Compliance
An ODPC Readiness Checklist for AI Systems
A self assessment you can run against any AI deployment before it touches customer data, with the evidence a regulator would actually ask for.
Compliance
Why Your Copilot Licences Sit Idle
Idle AI licences are rarely a training problem. They are an access problem, and the arithmetic of the waste is easy to run on your own tenant.
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