Platform Architecture

The operating layer behind every Ikhora AI agent.

Ikhora's platform combines orchestration, knowledge retrieval, human approval, integrations, evaluation, cost monitoring, and workflow intelligence into one reusable AI operations layer.

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Products powered
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Integrations
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Industries served
Platform Architecture

Every product runs on the same AI operations layer.

Each implementation strengthens a reusable platform. Seven layers power every Ikhora agent.

Layer 1 of 7
Agent Orchestration

Coordinate agents, workflows, and approval chains.

Multi-agent orchestration handles complex business processes with error recovery, escalation paths, and conditional branching. Every Ikhora product is powered by this same orchestration core.

Meet-to-Spec

Transcript → extraction → requirements → PRD → tasks → proposal pipeline with parallel and sequential stages.

Other Products

Support Guard: ticket triage → auto-response → frustration detection → human escalation chain.

Multi-step pipelinesParallel executionError recoveryConditional branching
System Architecture

How every Ikhora product is built.

From product layer to core platform to integrations — a unified architecture designed for scale, reliability, and continuous improvement.

Product Layer
Meet-to-Spec
WhatsApp Closer
Clinic Receptionist
DocuFlow
Support Guard
TenderMind
EstimateAI
ERP Bridge
CostGuard
AgentWatch
Core Platform
Agent Orchestration
Knowledge / RAG
Tool Execution
Human Approval
Integrations
CRM Systems
ERP Systems
Project Tools
Communication
Databases
File Storage
Monitoring & Evaluation
AgentWatch Monitoring
KPIs, drift, cost, quality
Quality Evaluation
Prompt & output scoring
Cost Control
Usage tracking & optimization

Connects to the tools your team already uses.

Jira
Linear
Notion
Slack
Teams
GitHub
Google Docs
SharePoint
QuickBooks
SAP
Tally
Zendesk
Intercom
HubSpot
Salesforce
WhatsApp
Zoom
Google Meet
ClickUp
Trello
Asana
Freshdesk
Xero
Oracle
Jira
Linear
Notion
Slack
Teams
GitHub
Google Docs
SharePoint
QuickBooks
SAP
Tally
Zendesk
Intercom
HubSpot
Salesforce
WhatsApp
Zoom
Google Meet
ClickUp
Trello
Asana
Freshdesk
Xero
Oracle
Governance & Security

Built for approval, accountability, and control.

Every Ikhora agent is designed for enterprise-grade governance. Human-in-the-loop by default, with comprehensive audit trails and safety guardrails.

Explore security in depth
Human-in-the-loop by default
Every critical output requires human approval before execution.
Role-based access control
Granular permissions for who can approve, edit, or deploy agents.
Full audit logs
Every agent action, decision, and output is logged and traceable.
Prompt & output evaluation
Automated scoring of prompt quality and output accuracy.
Cost monitoring & caps
Real-time cost tracking with configurable spend limits.
Escalation rules
Automatic escalation when confidence drops or anomalies are detected.
Hallucination risk control
Multi-layer verification to detect and flag fabricated information.
Data minimization
Only the data needed for each task is accessed — nothing more.
Enterprise deployment
VPC, on-premise, and air-gapped deployment options available.
Platform Performance

Infrastructure designed for venture-scale operations.

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Agent uptime target
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Pre-built integrations
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Platform layers
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Products on one platform
0/7
AgentWatch monitoring
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Approval routing latency
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Audit log coverage
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Faster than manual workflows
Long-Term Vision

From workflow agents to AI workforce infrastructure.

Ikhora's long-term vision is to become the AI workforce infrastructure platform. As we build agents for specific workflows, we learn patterns that apply across industries.

This intelligence becomes a reusable platform that powers an ecosystem of AI agents for business operations — deployable, monitorable, and continuously improvable.

Today
High-value workflow agents for specific industries.
Next
Reusable AI operations platform powering every agent.
Future
AI workforce marketplace — deploy, monitor, and scale agents across every operation.

Build on a platform designed for serious AI operations.

Start with one workflow. Prove the ROI. Then expand into your AI operations layer.