What Is an Enterprise AI Access Platform? (And Why Every Business Needs One)

Three Things Msharti Is Not

Unlike traditional integration platforms that connect applications to applications, Msharti connects AI to the enterprise.

Unlike AI assistants that rely only on public knowledge, Msharti gives AI secure access to the systems and information that make every business unique.

Unlike point integrations built for a single AI tool, Msharti provides one governed platform that works across Microsoft Copilot, ChatGPT, Claude, AI agents, and future AI technologies.

The Problem: AI Knows the World, But Not Your Business

Microsoft poured Copilot into East Africa. The licences are bought. The seats are assigned. And then… silence.

Only 35.8% of Microsoft 365 Copilot licences in Kenya are actively used. The rest sit idle because Copilot can’t see the data that runs the business: the M-Pesa collections, the KRA compliance checks, the Salesforce pipeline, the Sage invoices.

A Kenyan CFO can’t ask Copilot, “How much did we collect via M-Pesa last week, and which Sage invoices are still unpaid?” because Copilot has no connection to either system. A sales manager can’t ask, “Which deals moved to negotiation this month, and have those clients actually paid?” because the CRM and the payments system live in separate worlds.

The AI knows the world. It doesn’t know your business.

The Category: Enterprise AI Access Platform

An Enterprise AI Access Platform is the connective tissue between your AI assistant and your business systems. It is the layer that gives Copilot, Claude, or ChatGPT the ability to query your M-Pesa transactions, check KRA compliance, search Salesforce, read your database, and send WhatsApp messages, all without exposing passwords, without leaking data between departments, and without letting an AI go rogue.

Msharti’s mission is simple: give AI secure access to your business.

What Msharti Is

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

It sits between any MCP-compatible AI assistant and your business systems, and governs every request that passes through.

How It Works

Built on the Model Context Protocol (MCP), Msharti provides enterprise connectivity, governance, security, and a growing catalog of connectors through one unified control plane.

MCP is the open standard that lets any AI model connect to any business system using a standard interface. Think of it as USB-C for AI: one port, any device.

But MCP is just the protocol. Msharti is the governed implementation, the layer that makes it safe for a bank, a SACCO, or a logistics company to hand an AI the keys to the business.

The architecture is simple:

┌─────────────────────────────────────────┐
│  AI ASSISTANTS                          │
│  Copilot · Claude · ChatGPT · Custom   │
└──────────────┬──────────────────────────┘
               │  MCP / JSON-RPC 2.0 / HTTPS
               ▼
┌─────────────────────────────────────────┐
│  MSHARTI ENTERPRISE AI ACCESS PLATFORM │
│                                         │
│  • Connect: 26 systems, 149+ tools     │
│  • Query: Plain English to answers     │
│  • Secure: 5 defences on every call    │
│  • Govern: One dashboard, full control │
└──────────────┬──────────────────────────┘
               │  Scoped, credentialed calls
               ▼
┌─────────────────────────────────────────┐
│  YOUR BUSINESS SYSTEMS                  │
│  M-Pesa · KRA · Salesforce · Sage ·     │
│  Outlook · PostgreSQL · WhatsApp · ...  │
└─────────────────────────────────────────┘

Four Capabilities

1. Connect: Reach Every System

Msharti bridges 26 systems through pre-built connectors, no code needed:

149+ AI-callable tools across these connectors. You paste credentials, test, done.

2. Query: Plain English to Business Answers

The AI doesn’t need to know API syntax. It asks in English. The platform translates.

Example (Finance & Operations):

“Show me M-Pesa collections from last week cross-referenced against unpaid Sage invoices, and flag any suppliers whose TCC has expired.”

Behind the scenes, Msharti calls:

1. mpesa.query_mpesa_history to pull Paybill collections
2. sage.list_invoices to find unpaid invoices
3. kra.check_tcc_status to validate each supplier’s KRA PIN
4. Returns a single, readable answer in 4 minutes instead of 3 days.

This is a real recipe from msharti.dev, not a hypothetical.

3. Secure: Five Defences on Every Call

Every prompt, tool call, and response is inspected in real time:

These aren’t checkbox features. They’re the difference between “we use AI” and “we can prove our AI is safe.”

4. Govern: One Dashboard, Full Control

The governance panel shows:

• Real-time activity feed: every AI tool call as it happens
• Per-user tool permissions: Finance sees M-Pesa and Sage; Marketing sees Mailchimp and Google Analytics
• Kenya-specific compliance exports: formatted for CBK, ODPC, or internal audit
• Usage dashboards: which departments use which tools, how often, at what cost

Three Ways Teams Actually Use Msharti

Option A: Microsoft 365 / Copilot

One admin registers Msharti in the M365 Admin Centre. No Copilot Studio licence required. Every Copilot, Teams, and Outlook user in the organisation gains access to M-Pesa, KRA, Salesforce, and every other connector, instantly, org-wide.

Option B: Claude Desktop & Cursor

Open Claude settings → Customize → Add connector. Paste https://mcp.msharti.dev/mcp. Authenticate. Every tool appears immediately. No config files. No API keys to manage.

Option C: API / Programmatic

Call the MCP Streamable HTTP gateway from your own applications, agents, or automations. Standard JSON-RPC 2.0 over HTTPS. Works with any client that speaks HTTP.

Who Uses It, By Department

What “Built in Nairobi” Means for Data Residency

For Kenyan and East African businesses, data residency isn’t a preference. It’s often a regulatory expectation.

• Msharti is built in Nairobi
• Primary infrastructure and tenant data sit within Africa, with supporting services and connected systems disclosed in our privacy policy
• This maps directly onto CBK outsourcing guidelines and the Kenya Data Protection Act
• When an auditor asks where customer data goes, you get a documented answer rather than a shrug, and a fully in country deployment is available where the requirement is absolute

Common Objections

”We already have an API gateway (Kong, Apigee).”

API gateways manage human-to-system traffic. An Enterprise AI Access Platform manages AI-to-system traffic. AI agents make 1,000 calls per minute, interpret responses creatively, and act without human review. A traditional API gateway won’t catch an AI tricked into a prompt injection. The two layers complement each other.

”MCP is new. It might change.”

That’s exactly why a platform matters. If the protocol evolves, you update one platform implementation, not 20 custom scripts. Msharti abstracts the protocol from your business logic.

”Our developers can build this themselves.”

They can. The question is whether they should. Building a connector to M-Pesa takes a day. Building prompt-injection detection, secret stripping, DLP scanning, tenant isolation, and immutable audit logging takes months. And maintaining it takes forever.

Msharti’s free tier includes 5,000 calls. The security stack is on every tier. You can test before you scale.

Getting Started

Free: Sign up at msharti.dev. No credit card. 5,000 calls to test every connector.

Starter / Business: Monthly or annual plans. Compare all features on the pricing page.

Tailored: Talk to sales for custom connectors, dedicated support, or volume pricing.

Docs: msharti.dev/docs, with connector guides, quick start, and security overview.

Support: [email protected]

The Msharti Vision

We believe AI will become the primary interface to enterprise software.

Employees won’t navigate dozens of applications to find information. They’ll simply ask AI.

For that future to work, AI must be able to securely understand, retrieve, and act on business information.

Msharti is building the infrastructure that makes that possible.

msharti.dev

This article is part of the Msharti technical education series. Browse the full docs at msharti.dev/docs.