What is Msharti?

Msharti is the enterprise gateway that gives AI secure, governed access to the systems and data that run your business.

Category: Enterprise AI Access Platform. MCP defines how AI communicates. Msharti provides everything required to use that standard safely in production.

It connects Microsoft Copilot, ChatGPT, Claude, and other enterprise AI assistants to the tools you already run: M-Pesa, KRA, Sage, Microsoft 365, your internal APIs and databases, through a single governed access layer.

Read the full story of why we built it this way on Our Story.

What problem does it solve?

Giving AI secure access to enterprise systems requires far more than exposing an endpoint. Organizations need to:

  • Connect every business system
  • Authenticate every request
  • Govern access with role-based permissions
  • Protect sensitive information
  • Audit every interaction
  • Maintain integrations as systems evolve

Msharti provides this enterprise layer out of the box, so your team asks questions and gets answers, instead of building and maintaining infrastructure.

How does it work?

Msharti sits between any AI assistant and your business systems as one governed layer, with three responsibilities:

Connect. Pre-built connectors for the SaaS tools your teams already use, plus custom connectors for your in-house systems.

Secure. Every prompt, tool call and response is inspected in real time: secrets stripped, injections caught, access checked before anything leaves your tenant.

Serve. A tenant dashboard to centralise access, scope permissions by team and role, and prove every action.

Why not just use MCP directly?

MCP is an open standard: it defines rules, not infrastructure. It doesn’t ship with connectors, security, hosting, or governance. Building that yourself is months of engineering work most businesses can’t spare, and even then, the global MCP ecosystem is built for Stripe, GitHub, and Slack, not M-Pesa or KRA GavaConnect.

Msharti is that missing infrastructure, already built, already governed, already covering the systems African enterprises actually run on.

Further Reading