Production planning agent
Evaluates orders, capacity, material availability and deadlines. Recommends an optimal work sequence and warns about delay risks.
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.
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.
Evaluates orders, capacity, material availability and deadlines. Recommends an optimal work sequence and warns about delay risks.
Analyzes nonconformities, recurring defects and inspection data. Helps identify root causes and preventive actions faster.
Monitors inventory, demand, supplier lead times and price changes. Prepares requests, comparisons and purchasing recommendations.
Collects key indicators from different systems, explains variances and prepares a concise action summary.
Combines failure history, equipment signals and maintenance plans. Reminds the team about tasks and helps prioritize risks.
Checks new orders, missing information, production capacity and deadlines. Prepares customer replies and tasks for the team.
A small, measurable start lets you validate value quickly and scale the solution safely.
We document the current workflow, problem, responsibilities and success metric.
The agent is tested with a limited dataset and real scenarios.
We define secure access, approval rules and an action log.
We assess time saved, quality and value before expanding the scope.
We set clear boundaries for every agent: which data it can see, which actions it may take and when a human decision is required.
More than a demonstration: a validated workflow using your data and a clear recommendation for scaling.
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.
A typical single-process pilot takes around 2–6 weeks. The duration depends on process complexity, data availability and the integrations required.
We apply the principle of least privilege, separate environments, log actions and require human approval for critical decisions. Specific requirements are agreed before integration.
The best first candidate is a frequently repeated, rule-based process where significant time is spent collecting data, checking information or making standard decisions.
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.
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