Operations — Actions via API | Rakam AI

Operations

The universal connector between your software and AI. The MCP protocol (Model Context Protocol) allows the Copilot to interact with your APIs in a standardized way — read data, create records, trigger workflows. It's the layer that makes everything else possible.

Rakam Operations

Follow up on all unvalidated quotes older than 30 days and prepare a personalized email for each client

Raisonnement

API request /quotes?status=pending&age>30... — 12 quotes found

Enriching client data... — 12 client records loaded

Generating personalized emails... — 12 drafts created

Scheduling sends... — Sending scheduled for tomorrow 9am

12 follow-ups prepared and scheduled.

GET /api/quotes?status=pending
GET /api/clients/{id}
POST /api/emails/draft
POST /api/emails/schedule
Posez votre question...

Before

😤 Custom AI integrations, fragile, to maintain

After

⚡ One standard protocol, one connector, all your APIs accessible

Observation

The problem

The Copilot is intelligent but without access to your APIs, it can't do anything. Operations is the layer that connects intelligence to action.

Without it, the Copilot is a chatbot. With it, it becomes an operator.

Product

How it works

01

You expose your APIs

Describe your REST endpoints, MCP makes them accessible to the Copilot in a standardized way.

02

The Copilot uses them

When a user makes a request, the Copilot selects the right endpoints and calls them with the right parameters.

03

Validated actions

Sensitive actions go through human validation (HITL) before execution.

100%

All your features accessible in natural language

0 custom

Zero custom integration to maintain

Universal

Compatible REST, GraphQL, webhooks

Case study

Deployed at Societe.com and OOTI — agents connected to business APIs via MCP for invoicing, inventory, and client data.

# Technology

Model Context Protocol (MCP)

Compatible REST, GraphQL, webhooks

Human-in-the-loop (HITL) for sensitive actions

Connect your software to AI

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