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Getting Started - Zild Platform

Welcome to the Zild Platform. Zild is an AMP — AI Agent Management Platform — built to integrate, orchestrate, and govern generative AI solutions inside large enterprises. Instead of deploying disconnected AI initiatives across departments, Zild provides a centralized management layer that connects Generative AI models, business systems, and communication channels into a unified operational infrastructure. Its mission is clear:
Democratize and operationalize Generative AI securely and at scale across the enterprise.

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What is an AMP (AI Agent Management Platform)?

An AI Agent Management Platform (AMP) is an enterprise-grade system responsible for:
  • Managing AI agents across multiple channels
  • Orchestrating LLMs and generative models
  • Enforcing governance and security
  • Integrating AI into enterprise workflows
  • Monitoring performance and compliance
  • Ensuring scalability and data isolation
Zild operates as the control plane for AI agents within an organization. It sits between: Generative AI Models ↔ Business Systems ↔ Communication Channels This allows enterprises to safely leverage large language models without losing control, observability, or compliance.

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Zild’s Role in the Enterprise AI Stack

Zild does not replace generative AI providers — it integrates them. The platform connects to:
  • Large Language Models (LLMs)
  • Internal enterprise systems
  • CRM and ERP platforms
  • Telephony and messaging providers
  • Custom APIs and legacy systems
Zild acts as:
  • The orchestration layer
  • The governance layer
  • The execution layer
  • The management layer
This architecture enables companies to standardize AI deployment across business units instead of running fragmented pilots.

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What Zild Enables

Through its AMP architecture, Zild powers:
  • AI customer service agents
  • AI SDRs and sales automation
  • AI voice agents (SIP / Twilio)
  • AI contract and document analysis
  • AI conversation monitoring and coaching
  • Internal operational AI assistants
All agents operate under a unified management framework.

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How the Platform Works

At a high level, Zild connects: Channels → Agents → Workflows → Integrations → Enterprise Systems Each layer is abstracted and centrally managed.

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1. Channels

Channels are the interaction surfaces where users communicate with AI agents. Examples:
  • WhatsApp
  • Webchat
  • Voice (SIP / Twilio)
  • Custom API endpoints
Channel abstraction ensures that business logic remains independent of communication infrastructure.

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2. Agents

Agents are managed AI entities that:
  • Interpret user intent
  • Access enterprise knowledge
  • Execute business logic
  • Trigger workflows
  • Call external APIs
  • Escalate to humans when necessary
Agents are fully configurable and governed within the AMP layer.

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3. Workflows

Workflows transform conversations into operational outcomes. They allow agents to:
  • Trigger post-interaction actions
  • Send contracts
  • Update CRMs
  • Create tasks
  • Call webhooks
  • Escalate internally
Workflows ensure AI is not just conversational — but transactional.

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4. Integrations

Zild integrates securely with:
  • CRM systems
  • Telephony providers
  • Messaging providers
  • Payment systems
  • Internal enterprise systems
All integrations are governed via secure APIs and controlled authentication mechanisms.

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Core Platform Concepts

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Tenant

A Tenant represents an enterprise organization within Zild. Each tenant has:
  • Data isolation
  • Dedicated agents
  • Independent users and roles
  • Segregated channels
  • Separate integrations
Zild is natively multi-tenant and enterprise-ready.

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App

An App represents a channel integration view for end users. We are commited to create a Zild App when the users needs a different inferface to interact with AI. Zild Apps:
  • Zild Assist: For chat conversations
  • Zild Voice: For call conversations
  • Zild Insight: For QA the conversations
  • Zild Coach: To train the users using voice
  • Zild Docs: To process documents
  • Zild Chat: Chat interface between users and AI Agents
  • Zild Tasks: For background jobs
  • Zild Admin: For manage all the AI usage of company

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Conversation

A Conversation is the transactional object that stores:
  • Messages
  • Metadata
  • Context memory
  • Events
  • Workflow triggers
  • Audit logs
This enables traceability, observability, and governance.

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Events

Events are structured system triggers such as:
  • Message received
  • Call started
  • Call ended
  • Contract sent
  • Conversation closed
Events activate workflows and external integrations.

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Governance and Enterprise Control

As an AMP, Zild provides:
  • Role-based access control (RBAC)
  • Multi-tenant isolation
  • Secure API authentication
  • Webhook verification
  • Conversation logging and auditing
  • Performance monitoring
  • Channel abstraction
  • Scalable AI orchestration
This ensures generative AI can be deployed safely in regulated and large-scale environments.

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Why Zild as an AMP?

Without an AMP, enterprises typically face:
  • Fragmented AI initiatives
  • Lack of governance
  • Security risks
  • Poor observability
  • Channel silos
  • Inconsistent data handling
Zild solves this by becoming the central AI control layer of the organization.

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Quick Start Overview

To deploy AI agents using Zild:

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Step 1 — Create Your Tenant

Your organization receives a dedicated isolated environment. You can buy a subscription at https://zild.ai

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Step 2 — Connect Channels

Configure WhatsApp, Voice, or Webchat Apps.

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Step 3 — Create and Configure Agents

Define instructions, tools, knowledge, and escalation rules.

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Step 4 — Configure Workflows

Automate business actions and integrations.

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Step 5 — Monitor and Scale

Track conversations, optimize performance, and expand use cases.

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The Strategic Vision

Zild is not just an AI tool. It is an AI infrastructure layer for enterprises that want to:
  • Standardize AI usage
  • Govern generative models
  • Integrate AI into operations
  • Scale safely across departments
Zild is the platform that transforms generative AI from experimentation into enterprise capability.

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What’s Next?

Continue with:
  • Architecture Overview
  • Object Model
  • Security and Compliance
  • Implementation Guide
If you are ready to operationalize AI across your enterprise, proceed to the implementation guide.