Magic xpi AI Brochure
Enterprise MCP, native LLM workflow steps, and production AI integration patterns.
Download BrochureYou've seen the demos. The AI that answers generic questions is impressive. But when you ask “What's current inventory on SKU #ABC-123?” or “Which open orders are at risk this week?” — it fails. Because the data that matters is locked in your ERP, your MES, and your custom systems, and AI can't reach it. Magic xpi bridges that gap so any AI agent gets secure, real-time access to the systems that run your business — and Magic SmartUX puts AI to work building the apps your teams use every day.
MCP Server
Enterprise AI Tool Layer
Native LLM
AI Steps in Any Workflow
SmartUX AI
AI-Built Enterprise Apps
No Migration
Data Stays Where It Lives
Your ERP, your MES, your custom databases, your shop-floor logs — these are the systems that hold the ground truth of your business. And they don't speak the language of modern AI tools. So your AI experiments use generic data, and your real business data stays locked up.
The result: AI that can write a marketing email but can't tell you which of your open jobs is the best fit for a candidate. AI that can summarize articles but can't pull Q3 performance from your SAP report. That's not AI-powered operations. That's AI-powered busywork.
Magic xpi bridges the gap between your AI tools and your critical business systems. As an Enterprise MCP Server, it turns your existing integration flows into secure, callable tools any AI agent can use. As a native LLM integration platform, it lets you embed AI capabilities directly into your workflows. No data migration. No risky custom code. Just secure, scalable, real-time access.
With Magic xpi as an Enterprise MCP Server, you turn any existing business process into a secure, callable tool that any AI agent can use. Your AI can query SAP, search the candidate database, and pull real-time inventory from JD Edwards — all from a natural language prompt. It stops being a chatbot and starts being a team member.
See how Magic MCP works
Example prompts
Sales
“Find me customers in manufacturing who are due for contract renewal this quarter.”
HR
“List all employees who have completed their cybersecurity training.”
Operations
“What is current inventory for SKU #ABC-123 in our main warehouse?”
Magic xpi lets you call any major LLM (OpenAI, Anthropic, Azure OpenAI) as a step inside an integration flow. Summarize customer emails before creating a support ticket. Generate personalized content based on ERP purchase history. Translate product descriptions to multiple languages and post them to Shopify — automatically, as part of a workflow that already runs.
See how Magic xpi works
Example prompts
Customer Service
“Summarize this email chain and create a support ticket with the key issue.”
Marketing
“Generate personalized email subjects based on customer purchase history from JDE.”
eCommerce
“Translate product descriptions and post them to the Shopify store automatically.”
Magic SmartUX pairs a visual low-code studio with an AI development engine that turns prompts into working app scaffolds — data models, screens, mock data, and event handlers. Business and IT design role-based mobile, web, and desktop apps together, and ship them in days instead of months while preserving the systems of record behind them.
Explore SmartUX AI Studio
What teams ship with it
Field Service
“Mobile workflows for technicians with offline support and JD Edwards integration.”
Approvals
“Consolidated approvals app for managers across mobile, web, and desktop.”
Operations
“Operational dashboards built from prompts, with auto-generated data models.”
Challenge
Business users need data from the ERP but can't run queries. IT writes reports on request. The request queue is weeks long. Leadership makes decisions on last month's data.
Solution
Magic xpi exposes ERP data as AI-callable tools. Business users ask natural language questions — “What are our top 10 open orders by value?” — and get answers from live ERP data without opening a ticket.
Proof: Real-time ERP data accessible through any AI interface — no IT intermediary.
Challenge
Shop-floor data, quality logs, and production records are in the MES or FactoryEye. AI tools can't reach them. When something goes wrong, diagnosis is manual and slow.
Solution
Magic xpi bridges the AI agent and the MES/FactoryEye data layer. AI can surface anomalies, flag at-risk equipment, and summarize shift performance from plant-floor data — in real time, in the tools your team already uses.
Proof: From ERP and MES data to AI-powered operational intelligence.
Challenge
Customer orders arrive as unstructured emails or PDFs. Someone reads them, interprets them, and enters them manually into the ERP. Misinterpretations cost time and money.
Solution
Magic xpi routes inbound order documents through an LLM to extract structured order data, validate it against the ERP, and create the order automatically — with an exception queue for edge cases that need human review.
Proof: Unstructured order input → validated ERP order, without manual entry.
Challenge
New hire records come in from multiple sources. Matching them to the right ERP roles, AD groups, and access policies is judgment work — currently done manually by an IT analyst for every hire.
Solution
Magic xpi feeds the new-hire record to an LLM that recommends the access profile based on role, department, and similar employee patterns. The integration flow provisions it. The analyst reviews exceptions, not every case.
Proof: Onboarding automation with AI-assisted access recommendations.
Magic xpi supports all major LLM providers as workflow steps and works as an MCP server for any MCP-compatible AI client. Connect them to the full Magic xpi connector library — ERP, MES, CRM, identity, eCommerce, and custom systems.
Claude / Anthropic
LLM
OpenAI / GPT-4
LLM
Azure OpenAI
LLM
Oracle JD Edwards
ERP
SAP S/4HANA & ECC
ERP
Microsoft Dynamics 365
ERP
Epicor Kinetic
ERP
FactoryEye / MES
Manufacturing
Salesforce CRM
CRM
Active Directory
Identity
Shopify / eCommerce
eCommerce
Custom Databases & APIs
Custom
Share these with your technical and business teams to align on scope, architecture, and rollout strategy.
Enterprise MCP, native LLM workflow steps, and production AI integration patterns.
Download Brochure
Low-code app modernization, AI-assisted app delivery, and omni-channel rollout.
Download BrochureBring your AI integration challenge — the LLM that can't reach the ERP, the workflow that needs AI judgment in the middle, or the AI tool your team wants to give real business context. We'll scope it live.
