ETO Manufacturing AI, Grounded in Real Deployments
Employees are already using AI tools. Thunai helps IT and operations leaders build the data and digitalization foundation first, then deploy AI that connects to your ERP and holds up under scrutiny.
Walk through a real implementation approach with an advisor who has done this inside ETO manufacturing.
THE PROBLEM
The mandate arrived. Leadership wants an AI strategy. The board mentioned it. A competitor announced something. Now it is on your plate.
The challenge is that there is no clean starting point. Your ERP data is inconsistent across plants or job types. Employees have already adopted consumer AI tools in ways you did not authorize and cannot fully see. Every major software vendor is shipping AI features that sound compelling in demos but require integration work no one has scoped.
You need to look credible going up and be honest going down. You cannot build on hype, and you cannot afford a deployment that breaks in production.
Most AI advice in this market comes from people who have not done it. They pitch architectures. They hand you frameworks. They leave when it gets complicated.
THE DEPLOYMENTS THAT BACK THIS UP
These AI agents have been deployed inside ETO manufacturing operations by the Thunai founder. Each one reflects real integration and governance requirements.
Matches invoices to purchase orders, routes exceptions for human review, and maintains a full audit trail. Reduces manual data entry without removing oversight from the process.
Allows operations staff to query and interact with ERP data in plain language. Reduces dependency on specialized ERP users for routine lookups, while keeping data governance and access controls intact.
Assists supervisors with safety documentation review and recordkeeping. Flags incomplete or inconsistent records before they become compliance exposures. Human review remains part of the workflow.
Reviews incoming customer specs and proposals against historical jobs. Surfaces gaps, inconsistencies, and relevant past work to support estimators. Does not replace estimator judgment.
Pulls and analyzes data on customers, job types, and margin patterns. Surfaces insights that are difficult to see at the individual job level. Connects to existing ERP and reporting data.
HOW WE WORK
Before any AI deployment, we assess your current data state: ERP structure, data quality, integration points, and where the gaps are. If the foundation is not ready, we help you build it. Skipping this step is why most deployments fail.
We identify which processes are ready now, which need foundation work first, and which are lower priority. The roadmap is specific to your operations, not a generic framework.
We stay engaged through deployment. That means working alongside your team, your ERP vendor, and any AI tooling involved. We scope the integration, define what production-ready looks like, and flag risks before they become problems.
“Most AI consultants skip the hard part. We don’t.”
WHO THIS IS FOR
FAQ
Start by mapping where your systems and data currently stand, since that determines what AI can realistically do. We help IT leaders build a practical roadmap grounded in digitalization first, then layer AI on top of that foundation. This gives you a defensible plan to bring back to leadership instead of guessing at priorities.
In most cases, yes: AI performs only as well as the systems and data feeding it. Before recommending AI initiatives, we assess whether your ERP, data, and workflows are in a state that can actually support them. If gaps exist, we help you close them first so AI projects do not fail on a shaky foundation.
Ad hoc AI use by employees is common and usually a sign of real demand, but it also creates risk without a foundation or guardrails in place. We help you assess what is already happening, then build a structured approach that channels that energy into sanctioned, well governed AI use. This turns informal experimentation into something IT can actually stand behind.
Evaluate AI projects by asking whether they solve a specific, measurable operational problem, not by how impressive the demo looks. Our founder brings 20 years as a CIO inside ETO manufacturing and has personally deployed AI agents for AP invoicing, ERP interaction, safety compliance, proposal review, and customer analysis, so we know which use cases hold up in practice. We help you apply that same lens to your own project list before you commit resources.
NEXT STEPS
Ready to move past ad-hoc AI use? These two paths build on a solid foundation.
Ready to Walk Through a Real Implementation Approach?
No commitment required. We will review your current data and digitalization foundation, identify where AI integration with your ERP is realistic today, and give you a clear picture of what a first deployment would actually require.
No commitment. No pitch deck. Just a conversation.