Airekka builds private AI operations automation for regulated manufacturers — inventory intelligence, quality documentation, maintenance workflows, and service desk automation, running inside your own environment and integrated with SAP, Oracle, and NetSuite.
Your ERP Tells You What Happened Yesterday. Your Floor Needs to Know What's Happening Now — Without Sending Your Data Out.
Airekka builds private AI operations automation for regulated manufacturers — inventory intelligence, quality documentation, predictive maintenance, and service desk automation that runs inside your own environment, integrates with your ERP, and gives your leadership team real-time visibility into operations.
Built by operators with deep experience in Fortune 500 manufacturing, healthcare systems, and enterprise technology — now applied to regulated, complex operations that cannot send their data to a public model. The build is optional. The audit is the starting point.
This Is the Hidden Tax of Disconnected Manufacturing Systems
The Month-End Surprise
Your production meeting starts with 20 minutes of arguing about whose inventory count is right. Your ERP says one thing, the floor supervisor's spreadsheet says another, and accounting hasn't closed last week yet. By the time you see a discrepancy, you've already made three days of parts against the wrong bill of material.
The Quality Documentation Chase
Every ISO audit means someone spending a week hunting through shared drives, email threads, and paper folders for the certificate of conformance that should have been attached to the lot record. Your quality manager is a document librarian. They should be a process engineer.
The Service Desk Black Hole
Your customers call when equipment is down. When your service lines are busy, calls go to voicemail — and every missed call is a customer considering your competitor. Your technicians waste 20 minutes per call just collecting model numbers, warranty status, and symptom descriptions before they can even diagnose the problem.
From Month-End Surprises to Monday Morning Clarity
Real-Time Inventory Intelligence
AI reads your floor data, WMS transactions, and ERP records as they happen. Discrepancies surface automatically. Your team stops reconciling spreadsheets and starts acting on today's truth. You see the inventory variance before it shuts down the line.
Automated Quality & Compliance
AI reads inspection reports, certificates, and traveler documents — structuring them and attaching them to the right lot, order, and audit trail automatically. Your quality team reviews exceptions. The AI handles the filing.
AI-Powered Service Desk
AI voice agents handle the intake — collecting equipment IDs, warranty lookups, failure symptoms, and scheduling availability — then generate a structured work order in your field service system before a human ever picks up. Emergency calls escalate immediately. Routine scheduling happens automatically. Your technicians show up prepared.
Manufacturing Operations Automation — Integrated, Scalable, Production-Ready
Cognitive Workflows
AI that reads, extracts, and structures operational documents — inspection reports, certificates of conformance, supplier invoices, packing slips — so your ERP and quality systems finally understand what your floor already knows.
- Supplier invoice matching and 3-way reconciliation
- Quality documentation extraction and lot record attachment
- Incoming inspection report processing
- Production traveler and work order validation
Agentic AI
AI agents that complete multi-step tasks across your systems — checking inventory levels, updating production schedules, and routing supplier inquiries — with human review checkpoints for exceptions.
- Supplier inquiry resolution and PO status automation
- Production scheduling adjustments based on real-time constraints
- Inventory reallocation and shortage flagging
- Maintenance work order generation and parts availability checks
AI Voice & Conversational Agents
AI voice intake and conversational agents for your customer service and internal operations — integrated with your ERP and field service platform, not a standalone phone widget.
- Customer Service Desk Agent: Answers order status, shipment tracking, invoice balance, and RMA status by phone or portal — pulling live data from SAP or NetSuite
- Voice-to-Work-Order Automation: Captures equipment IDs, warranty status, and failure symptoms by phone, generates structured work orders in your FSM/CMMS, and routes emergencies to on-call technicians
- Internal Operations Assistant: Plant managers ask inventory questions and the AI queries ERP + WMS in real time
Production Infrastructure
We integrate AI into your SAP, Oracle, NetSuite, or legacy manufacturing environment through secure APIs and data pipelines — so it works with your ERP instead of adding one more platform to manage.
- SAP ERP and S/4HANA integration
- Oracle NetSuite and Oracle Manufacturing bridges
- Microsoft Dynamics 365 FO/SCM connectors
- Legacy system API wrappers and data lake integration
Governance & Compliance
Human review checkpoints, audit trails, and access control designed in from the start — plus data residency: the system runs inside your own environment, so regulated production and quality data never reaches a public model. Examination-ready for ISO, FDA, and internal quality standards — not a black box.
- Lot traceability and audit trail automation
- FDA 21 CFR Part 11 validation support
- ISO 9001 documentation control
- Ongoing monitoring and deviation tracking
The mailbox was the ticketing system. The third-party tool was the extra hop.
The setup
Support already lived in client-facing email. People wrote to the company. Staff either copied that mail into a separate ticketing tool or worked the inbox and the ticket queue as two desks. The mailbox was the real ticketing system. The ticketing tool was the extra hop.
The shift
Do not bolt a chatbot onto a third-party tool and hope the extra hop disappears. Take in mail where it already arrives, open a ticket in a system the client controls, let AI close the routine work, and escalate what the model cannot manage. The system runs on a local model, so message contents and attachments stay inside the client's own environment and never reach a public AI service. That is a go on intake and close — and a stay-human on everything else.
How the engagement runs
- Mailbox intake: The client-facing mailboxes are the intake — the work is taken in where it already arrives, with no second desk to keep in sync.
- Ticket the message: Each message is opened as a ticket by an AI app the client controls, not by a second desk.
- Close what AI can close: Routine, well-bounded requests are resolved and closed by the app.
- Escalate the rest: What the model cannot manage is handed to a person. That gate is the point.
From Discovery to Production
Step 1
Discover — Operational Assessment
We map your production, inventory, quality, and service workflows. We identify where AI delivers the fastest ROI — typically in 2–3 weeks. You get a clear picture of what's possible before spending a dollar on build.
Step 2
Pilot — Real Data, Real Stack
We build a working proof-of-concept integrated with your ERP and one operational workflow — not a demo in isolation. Your team sees real inventory, quality, or service data moving faster before we commit to scale.
Step 3
Scale — Production Deployment
We harden the integration, add governance guardrails, and deploy across your plants and departments. Your team is trained. Your systems are monitored.
Step 4
Govern — Ongoing Compliance
Ongoing monitoring, audit trail maintenance, and policy updates keep your AI reliable as your operations and regulatory requirements evolve.
Built for operations leaders at regulated manufacturers
If your production meeting starts with arguing about inventory counts, if your quality team lives in shared drives during audit season, or if you're trying to integrate AI into SAP or Oracle without sending lot records and supplier data to a public model — you're probably our kind of client.
We don't serve small job shops, residential trades, or one-off convenience projects. We serve manufacturers with complex operations, real compliance requirements, and data that has to stay inside their own walls.
Frequently Asked Questions
Does our production or quality data ever leave our environment?
No. The AI runs inside your own environment, integrated with your ERP and quality systems through secure APIs. Lot records, supplier data, and inspection reports are never sent to a public model.
Do you replace our ERP?
No. We plug AI into SAP, Oracle, NetSuite, and legacy systems through secure APIs and data pipelines. Your production planners keep their workflow. The AI handles the data movement and exception flagging behind the scenes.
Will this work with our old systems?
Yes. We specialize in legacy system integration. If your ERP is 15 years old and speaks only CSV and prayer, we build the bridge — with full audit logging and error handling.
How long does a pilot take?
Typically 6–8 weeks for a focused proof-of-concept — one workflow, one plant, real data. You see results before committing to enterprise-wide deployment.
Do we need a data science team?
No. We build, deploy, and maintain the AI layer. Your team operates it. We train your staff on exception management and monitoring.
What does a Discovery engagement cost?
Our Manufacturing Operational Assessment is scoped to your plants and workflows. Investment is discussed on the call — you get a complete workflow map, ROI analysis, and technical architecture plan before any build spend.
Ready to Change Your Operations Story?
Tell us what your production, quality, or service team is stuck doing manually. We'll respond within one business day.
Discovery engagement — clear picture before build. Private AI, built by operators who've been inside Fortune 500 manufacturing.