What is Zild?
Zild is an AI Agent Management Platform (AMP) designed to integrate, orchestrate, and govern enterprise AI agents across communication channels such as WhatsApp and Voice. Rather than building isolated bots per channel or per department, Zild provides a centralized control layer that connects:- Communication channels
- AI agents
- Business workflows
- Enterprise systems
- Governance and monitoring
Zild’s Strategic Positioning
Zild is not just a chatbot platform. It is an AI infrastructure layer that sits between: Generative AI Models ↔ Business Logic ↔ Enterprise Systems ↔ Communication Channels The platform abstracts model providers and communication providers while maintaining:- Governance
- Observability
- Security
- Multi-tenant isolation
- Operational scalability
The Problem Zild Solves
When enterprises adopt AI without a centralized architecture, they typically face:- Bots built independently per channel (WhatsApp bot, voice bot, etc.)
- Disconnected conversation memory
- Hard-coded integrations with CRMs and legacy systems
- No standardized workflow orchestration
- Limited monitoring and quality assurance
- Compliance and data governance risks
- Difficulty scaling across departments
What Zild Enables
With Zild, organizations can:- Deploy AI customer support agents on WhatsApp
- Launch AI voice agents integrated with SIP or Twilio
- Implement AI SDRs for qualification and lead routing
- Monitor and score conversations with AI
- Analyze contracts and documents
- Trigger automated workflows based on AI decisions
- Connect AI agents to internal systems via secure APIs and webhooks
Platform Architecture Overview
Zild connects five structured layers: Channels → Agents → Workflows → Integrations → Enterprise Systems1. Channels
Channels are abstracted communication surfaces. Examples:- Voice (SIP / Twilio)
- Custom API endpoints
2. Agents
Agents are managed AI entities operating under centralized governance. They can:- Interpret user intent
- Retain contextual memory
- Execute tools
- Trigger workflows
- Call external APIs
- Escalate to human operators
- Follow structured business rules
- Customer support
- Sales and SDR
- Voice automation
- Contract analysis
- Conversation monitoring
- Internal operations
3. Workflows
Zild converts AI interactions into operational actions. Workflows allow agents to:- Send contracts
- Update CRM records
- Create tasks
- Route leads
- Trigger notifications
- Call webhooks
- Escalate to human teams
4. Integrations
Zild integrates securely with:- CRM systems
- Telephony providers
- WhatsApp providers
- Payment systems
- Internal enterprise systems
5. Enterprise Systems
The final layer ensures that AI agents operate inside the enterprise ecosystem rather than outside it. AI becomes embedded in:- Sales pipelines
- Support operations
- Contract workflows
- Internal processes
Core Platform Principles
1. Channel Abstraction
Agent logic is decoupled from the channel. This ensures:- Reusability
- Centralized configuration
- Faster expansion to new channels
- Consistent business rules
2. Agent-Centric Governance
Agents are managed entities inside a multi-tenant structure. Each tenant has:- Isolated data
- Independent agents
- Dedicated users and roles
- Segregated integrations
3. Operational AI (Beyond Chat)
Zild is built for AI execution, not just response generation. Agents can:- Trigger structured workflows
- Execute business operations
- Integrate with legacy systems
- Produce measurable outcomes
4. Enterprise-Grade Infrastructure
Zild includes:- Multi-tenant architecture
- Role-based access control (RBAC)
- Secure API authentication
- Webhook verification
- Conversation logging and auditing
- AI orchestration layer
- Scalable infrastructure
Who Zild Is For
Zild is designed for:- Mid-market and enterprise companies
- Businesses operating heavily on WhatsApp and Voice
- Organizations with high conversation volume
- Teams requiring AI monitoring and governance
- Companies integrating AI deeply into sales and support operations
Zild as an AMP
As an AI Agent Management Platform, Zild provides:- Centralized AI orchestration
- Standardized agent lifecycle management
- Controlled workflow execution
- Secure enterprise integrations
- Scalable AI governance
Next Steps
To go deeper, continue with:- How It Works — Detailed platform flow
- Core Concepts — Tenant, App, Agent, Conversation model
- Architecture Overview — System-level design
- Quickstart Guide — Launch your first AI agent