AI agents for manufacturing companies

    AI agents that work at your production pace

    We build custom AI agents that help plan production, control quality, manage purchasing and make decisions faster. Each agent adapts to your processes, data and accountability rules.

    • Integration with existing systems
    • Human approval for critical actions
    • Measurable results from the first process
    Discuss one process Use cases
    Production planning agentActive
    DataOrders, capacity, deadlines
    AnalysisRisks, priorities, scenarios
    Recommendation for the managerReschedule 2 operations and avoid a 14-hour delay.
    01Your data remains under your control
    02Controlled access and actions
    03Traceable decisions and results
    From problem to a working solution

    Not a generic chatbot.
    A dedicated worker for a specific process.

    We build each AI agent around your team's work: what it needs to monitor, what it may do independently, when it must request approval and how value will be measured.

    PLAN

    Production planning agent

    Evaluates orders, capacity, material availability and deadlines. Recommends an optimal work sequence and warns about delay risks.

    Result: less downtime and fewer urgent replanning cycles
    QA

    Quality control agent

    Analyzes nonconformities, recurring defects and inspection data. Helps identify root causes and preventive actions faster.

    Result: faster response and fewer recurring errors
    BUY

    Purchasing agent

    Monitors inventory, demand, supplier lead times and price changes. Prepares requests, comparisons and purchasing recommendations.

    Result: lower shortage risk and clearer choices
    BI

    Management reporting agent

    Collects key indicators from different systems, explains variances and prepares a concise action summary.

    Result: fewer manual reports and faster decisions
    MRO

    Maintenance agent

    Combines failure history, equipment signals and maintenance plans. Reminds the team about tasks and helps prioritize risks.

    Result: fewer unexpected stoppages and more accurate preventive maintenance
    ORD

    Order management agent

    Checks new orders, missing information, production capacity and deadlines. Prepares customer replies and tasks for the team.

    Result: shorter order processing time
    Implementation process

    We start with one process and a clear result

    A small, measurable start lets you validate value quickly and scale the solution safely.

    Select the process

    We document the current workflow, problem, responsibilities and success metric.

    Build the prototype

    The agent is tested with a limited dataset and real scenarios.

    Connect the systems

    We define secure access, approval rules and an action log.

    Measure and scale

    We assess time saved, quality and value before expanding the scope.

    Control and accountability

    AI helps you move faster while your team remains in control

    We set clear boundaries for every agent: which data it can see, which actions it may take and when a human decision is required.

    Restricted accessOnly the data and functions required for the task
    Human approvalCritical actions are never performed automatically
    Action historyA clear record of what the agent suggested or did
    Quality metricsValue is measured against agreed KPIs

    What do you receive after the first stage?

    More than a demonstration: a validated workflow using your data and a clear recommendation for scaling.

    • A working AI agent prototype
    • An integration and security blueprint
    • Measured value for the selected process
    • A recommendation for further implementation
    Frequently asked questions

    What should you know before getting started?

    Do you need to replace your existing ERP or manufacturing system?

    Usually not. We design the AI agent as an additional layer that accesses only the required data and operates according to agreed rules. The integration method depends on your system's capabilities.

    How long does the first pilot take?

    A typical single-process pilot takes around 2–6 weeks. The duration depends on process complexity, data availability and the integrations required.

    How is company data protected?

    We apply the principle of least privilege, separate environments, log actions and require human approval for critical decisions. Specific requirements are agreed before integration.

    Which process is the best place to start?

    The best first candidate is a frequently repeated, rule-based process where significant time is spent collecting data, checking information or making standard decisions.

    Can the agent be connected to Grand ERP and other systems?

    Yes. It can be connected to Grand ERP, other ERP, MES and CRM systems, document repositories, email or equipment data through APIs, file exchange or other secure integration methods.

    Start with one process

    Show us where your team loses the most time

    In the first conversation, we will assess the process, data and the real value an AI agent can bring to your manufacturing company.

    Discuss an AI agent