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ENIA — Enterprise AI Agents Platform

Enterprise AI agents that decide, execute, and stay auditable.

  • Visual workflow builder for AI agents — nodes, variables, routing
  • Multi-agent orchestration with human-in-command control
  • MCP / API tool execution, on-prem inside the client perimeter
  • Audit-ready traceability: data lineage, approvals, decision rationale
40–60%
Faster decision cycles (target)
30–50%
Downtime reduction (target)
<12 mo
Payback period (target)
On-prem
Deployment

ENIA (ENterprise Intelligent Agents) is an enterprise-grade AI agents platform that supports decision-making and autonomously runs workflows — always under human-in-command control. Built for regulated, high-stakes environments (Oil & Gas majors first) and delivered inside a top-tier global technology services company, it turns disconnected systems and manual, effort-heavy processes into governed, traceable, agent-driven execution.

A Visual Builder for Agentic Workflows

Configure any enterprise use case on one governed, agent-driven engine

At the core is a visual workflow builder: teams assemble workflows from nodes — Agent nodes, Set State, conditional If/Else routing, and external tool calls over MCP and APIs. Variables flow between steps, prompts are composed from state, and every node produces structured, inspectable output.

Instead of hard-coding one automation at a time, an enterprise can configure any use case — from compliance checks to operational decisions — on the same governed engine.

Autonomy — With a Human in Command

Roles, policies, guardrails, and human checkpoints built into the substrate

Autonomy without control is a liability in regulated industries. ENIA runs agents autonomously, but governance is built into the substrate: roles, policies, guardrails, and mandatory human confirmations at the checkpoints that matter.

The platform reasons in layers — evidence collection, context reasoning, adaptive logic, workflow execution, governance — so simple cases move fast on known patterns while complex ones escalate for deeper analysis and human sign-off.

Built for Audit and Trust

Every decision is traceable end-to-end: data lineage, who approved what, and the rationale behind each outcome. Deployment happens on-prem, inside the client’s perimeter, so sensitive data never leaves their control.

This is what makes agentic AI adoptable in Oil & Gas, banking, and insurance — not a demo, but a system auditors and operators can actually trust.

Multi-Agent OrchestrationVisual Workflow BuilderMCP / API ToolsHuman-in-Command GovernanceOn-PremAudit Traceability

The building blocks

The node types teams compose workflows from.

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