Inevia helps manufacturers add AI agents and intelligent automation to their existing MES and business workflows, without the cost and complexity of a large enterprise AI engagement.
One focused use case. Your existing systems. Measurable value.
KEEP YOUR SYSTEMS. ADD INTELLIGENCE.
3 work orders are behind schedule. Two are waiting on material from the same open purchase order.
Expertise behind the implementation.
Disconnected systems, buried knowledge, and repetitive follow-ups slow good teams down. Here is what improving those workflows looks like in practice.
Agree on a focused use case and what success would mean. Build a working proof of concept, assess the value, and decide what deserves further investment.
Identify one high-value process. Agree on the scope, available data, and measures of success.
Build a proof of concept around your use case and test it with representative data and real workflow examples.
Compare results with the starting point: time saved, output quality, feasibility, and likely operating costs.
Review the evidence and implementation roadmap. Move forward when the expected value supports the investment.
Bring AI, knowledge, and automation into the Microsoft environment your team knows, while connecting the operational systems your business depends on.
A planner asks in Teams: “Is the material ready for order 4821?” No new app to learn.
The AI agent searches your approved documents & SOPs using Azure AI Search to understand what the question needs.
A workflow checks connected systems via Logic Apps and drafts a supplier follow-up for human review.
Live order status is pulled directly from your MES, ERP, and CRM. Your data stays where it already lives.
Traveler MES replaced legacy systems and disconnected shop-floor processes with digital work instructions and real-time production visibility.
Traveler standardizes quality investigations, rework, and serial-level activity so Engineering can identify trends and resolve issues faster.
Traveler connects order status, part shortages, manufacturing issues, and completion risks in real-time dashboards for operators and leadership.
Can your teams access critical operational data without requesting custom reports or digging through emails? We connect your silos first.
AI cannot automate a process that changes every time it is performed. We help digitize and standardize your standard operating procedures.
Do your legacy on-premise systems have the secure webhooks and APIs required for modern AI agents to interact with them? We build the middleware.
– Business Analyst, Defence Manufacturing
documents searchable in seconds
improvement in on-time delivery
– Office Manager, Brasher Law Firm
document repository migrated
platforms connected
– Project Coordinator, Momentum Education
of manual work saved
students reached in a day
That is the starting point. We assess the available interfaces, data, and permissions, then identify a practical way to add AI and automation around your existing workflow. Replacing your core systems is not a prerequisite.
A focused proof of concept, findings from testing it, and recommendations for the next step. We agree on the use case and success measures up front so you can judge whether a broader implementation makes economic sense.
No. We evaluate the data access, process definition, and integration needs for the chosen use case. Where cleanup or connectivity is required, we identify that work as part of the scope.
Traveler MES supports manufacturing execution and production workflows. Launch Pad supports quoting, pricing, and bills of materials. Our AI and integration work can build around these products or other systems your organization already uses.
We define data access, permissions, model-provider terms, and human approval requirements as part of the solution design. The proposed approach should fit your environment and security requirements before the pilot begins.
Book an operations review to identify a useful starting point and decide whether a focused AI pilot is the right next step.
Book free operations review