The Enterprise AI Agent Builder:
Visual Drag-and-Drop to Production API.

Empowers systems architects, engineers, and analysts to build, simulate, and orchestrate autonomous multi-agent networks in minutes — then ship them to a production API with guardrails, memory state and 45 pre-built MCP tool bindings intact.

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Core Features

Build it visually. Ship it as an API.

Dual Canvas Engine

Seamlessly toggle between visual workflow diagrams and custom code nodes in Python or TypeScript — the same agent, two authoring surfaces.

Visual canvas + code nodes

Tool Binding & MCP Studio

Connect agents securely to internal databases, REST endpoints, microservices, and 45 pre-built Model Context Protocol actions.

45 MCP actionsSAP · Salesforce · Oracle · Core Banking

Multi-Agent Orchestration

Delegate tasks across specialized sub-agents — verification, pricing, underwriting and compliance — each with its own tools, memory and guardrails.

Sub-agent delegation

Regression & Simulation Workbench

Test prompt versions, step through execution logs, evaluate token economics, and verify guardrails prior to deployment.

Token economics · guardrail verification

Before / After

The same process. Rewired.

Legacy Workflow — Manual

Messy email threads · scattered spreadsheets · lost tickets · silent SLA breaches.

RisingPoint Automated Layer — Live

Clean document ingestion → vector parsing → verified ERP updates, traced by glowing emerald execution paths.

OMNAI CRM MIDDLEWARE — LIVE TICKET FEED

Inbound · Customer Email “Re: Delayed shipment — PO #A-2941”

“Team, thanks for the quick response last time. Our line stops Friday without the missing valves — can you confirm dispatch and update the case?”

Intent: escalation-prevention Sentiment: 94% positive SLA risk detected

12:02:11inbound_email received · cust#8842 (Gulf region)
12:02:11entities extracted → order #A-2941 · $18,240 · Friday deadline
12:02:12sentiment analyzer → 94% positive
12:02:12Salesforce case auto-created · priority raised · summary generated
12:02:12120ms CRM write-back complete — zero human touch

Capability FAQ

How is the Agent Builder different from a standard LLM wrapper?

Standard wrappers simply forward prompts to public APIs. The Enterprise Agent Builder is a full production studio: visual drag-and-drop workflow canvases, Python/TypeScript code nodes, role-based guardrails, dynamic memory state management, and 45 pre-built Model Context Protocol (MCP) tool bindings. Agents execute complex, multi-step actions inside SAP, Salesforce, Oracle and Core Banking with deterministic control.

Can voice-activated agents handle noisy operational environments or regional accents?

Yes. Our voice systems use localized noise-cancellation filtering combined with fine-tuned domain-specific acoustic models trained on industry terminology and regional dialects to maintain over 95% intent recognition accuracy in field conditions, inside a sub-2s end-to-end latency budget.

Build your first agent network in 30 days.

Bring one workflow. We will return a simulated, guardrailed, production-deployed agent network with defined ROI benchmarks.

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The Enterprise AI Agent Builder:Visual Drag-and-Drop to Production API.