The Korcomptenz Approach—Building Operational AI That Scales

How We Built Repeatable Copilot Agent Patterns

Phase 1:

Turn Copilot on

Copilot helped teams draft, summarize, find records, and move through workflows faster.

Result: productivity improved—but the big operational KPIs barely moved.

Phase 2:

Spot the gap

A pattern showed up quickly: Copilot could inform work, but it couldn’t run work.
Insights were there. Execution was still manual. Governance was inconsistent.

Phase 3:

Build KPI-first agents

So we built agents around outcomes first—then automation.

Every agent tied back to clear KPIs and enterprise controls.

Phase 4:

Make it repeatable

Finally, we turned one-off builds into a portfolio—patterns you can reuse across ERP and CRM:

Anomaly detection inside workflows
Event-triggered recommendations and actions
KPI monitoring agents that don’t quit after go-live

Our AI Design Philosophy — Impact First, Platform Native

Built into the workflow

We keep agents where work happens—not on the side.

Embedded inside ERP and CRM steps
Designed to trigger action, not just show insights
Aligned to the Dynamics 365 data model so you’re not stitching data together later

No “extra AI layer.” No new data mess.

Impact before intelligence

Every agent must move a real business lever:

Revenue growth
Cost reduction
Faster cycle times
Risk reduction

If it doesn’t move a KPI, we don’t build it.

Patterns over one-offs

We design agents to be repeatable—built from proven industry patterns across:

Process manufacturing
Food & beverage distribution
Industrial manufacturing
Retail

Because the goal isn’t a one-time build. It’s an agent portfolio you can scale.

Our AI Agent Portfolio Across Core ERP Domains

We’re building a practical portfolio of AI agents embedded inside Dynamics 365 Finance & Operations and CRM—so they improve outcomes right where teams work.

Manufacturing

Production Risk Agent
Spots schedule slippage and bottlenecks, then recommends sequencing fixes.
Quality & Lot Intelligence Agent
Flags batch anomalies early and surfaces potential quality deviations.

Impact: less downtime, better yield, stronger compliance.

Supply Chain & Warehousing

Inventory Risk & Expiry Agent
Identifies aging stock and recommends rebalancing across warehouses.
Demand Signal Agent
Detects SKU-level demand shifts and suggests procurement adjustments.
Voice-Native Warehouse Agent (deployed)
Enables hands-free execution in cold-chain environments, integrated with D365 WMS.

Impact: improved inventory turns, fewer write-offs, higher throughput.

Finance

Close Acceleration Agent
Flags anomalies in journals and reconciliations and guides corrective steps.
Margin Intelligence Agent
Finds profit leakage by SKU/customer and highlights promotion-driven erosion.

Impact: faster close, clearer margins, less manual effort.

Retail & Distribution

Promotion Effectiveness Agent
Tracks sell-through versus spend and suggests where to reallocate budget.
Customer Behavior Intelligence Agent
Surfaces micro-segments and predicts cross-sell opportunities.

Impact: revenue uplift and stronger campaign ROI.