04 · Automate · AI Agents & Process Automation
We help you find where agents pay back, build them into your PLM, ERP and email with human approval steps, and run them in production with monitoring and audit trails.
The problem
Agents create value when they are pointed at the right work, connected to real systems and trusted by risk and quality teams.
Chatbots demo well but rarely release hours. The value sits in high-volume, rules-heavy work that people do every day.
An agent that cannot read the BOM or update the purchase order can only make suggestions that someone retypes.
Without approvals, monitoring and audit trails, risk and quality teams will not let agents near production.
What we do
Find the processes where agents pay back fastest, and set up AI to scale safely.
Production agents that read, reason and act inside the systems you already run.
Automation for the steps that do not need an agent at all.
Agents treated like production systems, not experiments.
AI agents across the supply chain
We design, build and run AI agents for every supply chain function, on top of the processes and platforms we implement. They read the email, check the BOM, chase the supplier and draft the decision. Your people approve.
Reads a change request, traces affected parts, BOMs, drawings and suppliers, and drafts the impact analysis.
Compares engineering and manufacturing BOMs, flags missing parts, unit mismatches and broken effectivity.
Every agent has a named approval step before anything changes in a system of record.
Agents act through PLM, ERP, email and portals you already run, not a side tool.
Monitoring, audit trails and access controls from day one, not after the pilot.
How we engage
Find and score use cases with your process owners, and check the data each one needs.
Put one agent into production on real work, with a measured baseline to compare against.
Extend to further use cases and functions on a shared platform and design pattern.
Monitor, audit and improve agents as part of normal operations.
Platforms
Model-agnostic. We choose the model and deployment per use case, within your security and data policies.
Engineering change, BOM and document agents
Planning, purchasing, order and quality agents
Where much of the coordination work happens
Dispatch, logistics and hospitality operations
Industries
CAD-to-BOM, configuration, engineering change and MBOM to shop floor.
ManufacturingRecipes, batch genealogy, quality specs and plant-to-ERP integration.
MobilityAPQP and PPAP workflows, variant BOMs and supplier change collaboration.
Life sciencesFormulation, specification and change control with GxP traceability.
ConsumerRecipe and pack management, artwork approval and rapid SKU launches.
ConsumerPrivate label development, assortment planning and supplier collaboration.
FAQ
Work that is high-volume, rules-heavy and already partly documented, such as purchase order follow-up, engineering change impact analysis or quality deviation triage. Discovery confirms which ones pay back fastest for you.
We check during discovery. Some use cases work well on today's data; others need cleanup first. Our data assessment tells you which is which.
Every agent has defined permissions, a named human approval step before it changes a system of record, and a full audit trail of what it did and why.
We design deployment around your data and security policies, including running within your own cloud environment where that is required.
We baseline the hours, cycle time and error rates of the process before the agent goes live, then measure the same things in production.
Start a conversation
Share where you are today and a partner will come back with a working view of what to do first. No sales script.
