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Agentic Resources

We fix the process first, then automate it with governed AI agents.

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Illustrative use case · Operations & Supply Chain

AI Operations Control Tower That Detects and Resolves Problems

An agent that spots supply and shipment problems early, works out who is affected and prepares a resolution for your team to approve.

The Business and the Problem

The business

An illustrative $60 million distributor with two warehouses and about 120 shipment exceptions a month.

The problem

  • A delayed shipment means checking affected orders, inventory, suppliers and other warehouses.
  • Staff compare alternative transport and delivery commitments by hand.
  • The information sits in the ERP, email, spreadsheets and carrier portals.
  • Customers often hear about problems late.

What it costs

Staff spend more time finding the cause of a problem than deciding what to do, emergency freight costs rise, and customers are let down.

What Agentic Resources Builds

An operations agent connected to your ERP, inventory, supplier and carrier data, monitoring for exceptions and preparing options with costs attached.

Monitor

Monitors inventory, suppliers and shipment information.

Assess impact

Identifies potential delays and which orders and customers are affected.

Find options

Finds alternative inventory or fulfillment options.

Cost the options

Calculates the cost and service implications of each option.

Recommend and update

Recommends a resolution, requests approval where required and updates systems.

How It Works

01

Exception detected

A delay or shortage is flagged.

02

Impact assessed

Affected orders and customers are identified.

03

Options found

Alternative stock, sites or carriers are checked.

04

Options costed

Cost and service impact are compared.

05

Approval requested

A planner approves the preferred option.

06

Systems and customers updated

Orders are updated and customers informed.

Where People Stay in Control

Spend approval

Emergency freight and costly changes need planner approval.

Customer commitments

Changes to promised dates are approved before customers are told.

Supplier actions

Orders with suppliers are placed by your team.

Audit trail

Every recommendation and decision is logged.

Potential Results

Faster resolution

Exceptions investigated in minutes rather than hours.

Fewer disruptions

Customers hear about problems earlier, with a solution.

Lower emergency freight

Better options found before expensive fixes.

Better visibility

One view of open exceptions and their status.

Potential Financial Value

Illustrative model, not a client result. Figures are assumptions for a business like the one described above. Your own figures come from the measured baseline in our readiness diagnostic.

Source of valueModeled assumptionAnnual value
Investigation time120 exceptions a month; 30 minutes saved each; $40 per hour loaded cost$28,800
Emergency freight20% reduction on $150,000 annual emergency freight$30,000
Potential annual value (illustrative)$58,800

Technology

AI AgentsRAGMCPAPIsERP IntegrationHuman ApprovalAgentOps

Have a Process Like This in Your Business?

Tell us how it works today. We can help identify what can be automated, what should remain under human control and where the financial return may be greatest.