Platform Components

Overview

Arahi AI is built as an Agentic AI Platform — designed to help teams and founders automate business processes through intelligent Agents that think, act, and collaborate.
This section outlines the major components that make up the Arahi AI ecosystem and how they work together.

Core Components

1. Agents

Agents are the core of Arahi AI. Each Agent is a specialised AI worker designed to handle a specific business function or workflow.
An Agent consists of:

  • Prompt – defines its role, personality and task logic.

  • Tools – enable it to take real actions such as querying data, sending emails or updating CRMs.

  • Triggers – determine when and how the Agent starts working.

  • Memory – stores context and previous interactions for continuity.

  • Variables – dynamic placeholders that make workflows flexible and reusable.

  • Human Approval – ensures oversight for critical decisions or escalations.

2. Workflows

Workflows let you orchestrate multiple Agents and tools together.
You can define sequential or parallel tasks, assign dependencies and monitor overall execution from a single dashboard.
Use workflows to:

  • Automate cross-department operations (e.g., lead intake → qualification → CRM update).

  • Build multi-step marketing, finance, or support processes.

  • Add human-in-loop checkpoints for quality assurance.

3. Tools & Integrations

Tools extend your Agents’ capabilities. Integrate Arahi AI with your existing tech stack:

  • Built-in Tools – file parsing, search, summarisation, email, web automation.

  • Custom Tools – connect APIs or run your own functions inside Agents.

  • Integrations – Slack, Gmail, Notion, HubSpot, Google Drive, Webhooks and more.
    Tools enable Agents to act in the real world — fetching data, executing logic, and triggering external actions.

4. Triggers

Triggers determine when your Agents activate.

  • Manual Triggers – start tasks on demand.

  • Scheduled Triggers – run at fixed intervals (daily, weekly, etc.).

  • Integration Triggers – react to external events (new email, CRM update, form submission).
    Together, these make your Agents proactive and event-driven.

5. Tasks

Every action your Agent performs is a Task.
Tasks represent real executions of Agent workflows — they include input, output, logs, approvals, and analytics.
You can:

  • Review and interact with tasks through the Tasks Dashboard.

  • Chat with the Agent in context to clarify or refine results.

  • Use Bulk Scheduling to create hundreds of tasks at scale.

6. Memory

Memory allows your Agent to retain useful context, facts, or user preferences over time.
It helps the Agent deliver more consistent and personalised outcomes.
Examples: remembering past decisions, client data, or prior task outcomes.
You can configure what gets stored, how long it’s retained, and how it’s reused.

7. Variables

Variables act as dynamic placeholders that make your Agents and workflows adaptable.
They allow you to centralise values like company name, pricing, or API keys — so when something changes, you only update it once.
Use syntax like {{variable_name}} in prompts and tool settings.

8. Analytics & Insights

Arahi AI includes detailed analytics for tracking performance:

  • Task success and failure rates.

  • Cost and token usage.

  • Time saved per workflow.

  • Escalation frequency and human-approval metrics.
    These insights help you continuously optimise Agent efficiency and ROI.

9. Compliance & Security

Arahi AI is built for business-grade compliance.

  • Data Privacy: GDPR-aligned and SOC 2-ready.

  • Encryption: All user data encrypted at rest and in transit.

  • Access Controls: Role-based permissions for users, projects, and Agents.

  • Audit Logging: Track every Agent action and data access event.

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