Procurement • Agentic AI • Decision Automation

Procurement Agent

Procurement decisions are rarely as simple as "stock is low, create a purchase order." The right decision depends on demand, inventory, incoming supply, supplier reliability, lead times, cost and business priorities.

We designed a Procurement Agent that can reason across the entire procurement context rather than executing a single predefined rule. It calculates true net gaps and recommends optimal supplier expediting.

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8-Step Intelligent Procurement Reasoning

1. Understand Requirement: Quantity and delivery timeline.
2. Check Availability: Evaluate warehouse and reserved stock.
3. Analyze Supply: Open POs, supplier pipeline and expected ETA.
4. Identify Real Gap: True deficit after factoring in transit supply.
5. Evaluate Alternatives: Compare supplier costs, reliability and speed.
6. Recommend Action: Transparent, explainable sourcing plan.
7. Govern & Authorize: Human-in-the-loop approval routing.
8. Execute Workflow: Trigger ERP purchase order generation.

Real Decision Comparison

Traditional Rule

"Material shortage: 500 units" → Orders 500 units blindly, causing overstocking and capital tie-up.

Procurement Agent Output

Required: 500 | Available: 320 | Incoming: 100 | Net gap: 80 units. Expedite 80 units via Supplier A (5-day lead time).

"Less analysis. Faster decisions. Better procurement control."


Manufacturing • Production Planning • Scenario Intelligence

AI-Powered Production Planning Agent

Production planning is a continuous balancing act between customer orders, forecast demand, plant capacity, raw materials, constraints and delivery commitments. One sudden change affects the entire plan.

The Planning Agent simulates alternatives and recommends the most suitable production schedule for human planner authorization, evaluating capacity shifts, re-sequencing and critical order prioritization.

How The Scenario Engine Operates

Understand Assess Detect Simulate Compare Recommend Approve Execute
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Constraint Simulation: Identifies bottleneck work centers and re-allocates jobs dynamically.

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Planner-in-the-Loop: AI proposes optimized scenarios; the planner retains final operational authority.

"Don't ask AI to replace the planner. Ask it to do the complex scenario analysis the planner shouldn't have to do manually."


Manufacturing • Operational Intelligence • SAP-MES

Manufacturing Intelligent Agent

A manufacturing dashboard can tell you that production is behind plan. It doesn't necessarily tell you: Why? What is affected downstream? What action should come next?

The Manufacturing Intelligent Agent correlates machine telemetry, downtime logs, material batches, quality scrap and SAP-MES orders to diagnose root causes and recommend actionable corrections.

Contextual Diagnostic Traversal

Delay Detected → Machine Status → Material Availability → Production Order → Quality Event → Historical Pattern → Recommended Action
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SAP-MES Deep Integration: Real-time bi-directional operational sync.

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Predictive Maintenance Triggers: Autonomous work orders before asset failure.

"Move beyond monitoring production to truly understanding and optimizing it."


Engineering • Document Intelligence • BBS Extraction

BBS Extraction Agent

Engineering information shouldn't remain trapped inside complex structural drawings and documents. The BBS Extraction Agent uses vision AI to extract, structure and validate Bar Bending Schedules.

Converting conventional manual extraction into machine-readable data: Ingest → Understand → Extract → Structure → Validate → Exception Handling → Human Verification → Downstream ERP Processing.

  • Extraction Pipeline:
  • PDF/CAD Ingest
  • Vision AI Layout
  • BS/IS Standard Validation
  • ERP Bill of Materials

"This is not simply: AI reads a drawing. It is: Engineering information becomes structured, machine-executable business data."

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