Korcomptenz Custom Agents

When the business requires more than out-of-the-box.

Microsoft’s native agents are a powerful foundation, but they are built for standard workflows. They cannot carry a process through your approval logic, industry requirements, or operational complexity on their own. That is where many AI initiatives stall: not at detection, but at execution.

Korcomptenz builds custom agents for that last mile. Each one detects the signal, applies business context, and executes the right action inside Dynamics 365.

These agents don't live outside your ERP and push insights in. They operate inside D365 workflows — detecting, deciding, and executing within the systems your business already runs on.

_{Voice-Native Warehouse Execution Agent}

Pain point: Screen-based warehouse work slows execution and disrupts cold-chain operations.

The situation
In Anika’s 2°C facility, every screen interaction slows the work down. Devices get lost or damaged, transactions lag, and onboarding takes too long.

What the agent does
The agent turns D365 work orders into voice-led tasks. Workers execute by voice, transactions update in real time, and exceptions are handled instantly.

Business impact
Faster picks. Fewer errors. Faster onboarding. Better inventory accuracy. Safer operations.

_{Smart Inventory Risk & Opportunity Agent}

Pain point: Late inventory risk visibility limits proactive action and optimization.

The situation
Marcus has inventory data, but not early enough warning. By the time risk shows up in a report, the best options are already gone.

What the agent does
The agent monitors sales trends, inventory, and purchase orders. When a SKU risks obsolescence, it suggests actions like cancelling POs, markdowns, and product substitutes.

Business impact
Fewer write-offs. Working capital freed from dead stock. Fewer stockouts. Better substitution decisions when stock is tight.

_{Demand Signal Agent}

Pain point: Weekly planning lags real-time demand shifts, driving outdated procurement decisions.

The situation
Demand planning occurs weekly, but the market doesn't. By the time shifts appear in forecasts, procurement relies on outdated assumptions.

What the agent does
The Demand Signal Agent tracks order patterns and sales velocity, identifying shifts to suggest replenishment adjustments, stock transfers, or order changes.

Business impact
Better SKU-level forecast accuracy. Less emergency procurement. Fewer stockouts during high-demand periods. Decisions based on current signals, not stale plans.

_{Production Risk Agent}

Pain point: Delayed risk visibility makes production disruptions costly and unavoidable.

The situation
Daniel’s schedule works until reality changes. A machine slows, a resource drops out, or a component arrives late. By the time the issue appears in a report, the impact is already unavoidable.

What the agent does
The agent monitors production risk continuously and recommends actions early, from resequencing orders to reallocating resources and adjusting the schedule.

Business impact
Lower downtime. Better schedule adherence. Fewer late orders. Earlier action before risk turns into cost.

_{Margin Intelligence Agent}

Pain point: Hidden margin leakage from promotions and discounts goes unnoticed too long.

The situation
The top-line margin seems healthy initially, but promotions erode profit, and old discounts persist. Leakage is real but often unnoticed early on.

What the agent does
The agent continuously monitors pricing, discounting, cost changes, and promotion performance. When margin shifts, it identifies the cause and recommends action.

Business impact
Earlier margin visibility. Better promotion control. Stronger pricing decisions based on live insight.

“ERP was built to record what happened. Autonomous agents are built to assess, predict and change what happens next.”