Manufacturing Companies 90-day fee/work pause

AI Production Planner for Manufacturing Companies

Takes over routine work of: Manufacturing Production Planner

Hand Your Production Planner Work to an AI Worker

01 Setup + retainer Fixed-price setup plus a monthly retainer
02 90 days Fee/work pause on agreed SOW metrics
03 20 min Assessment estimates the figures for your roles
The problem

Why Manufacturing Companies Are Switching to AI

These aren't edge cases. They're the daily reality that's bleeding your margins.

01

Production Scheduling Consumes 6-10 Hours Weekly

Manual scheduling across 5-15 work centers with 50-200 SKUs requires constant adjustment.

02

Quality Documentation Drains 2-4 Hours Daily

ISO 9001 and IATF 16949 compliance requires manual data entry for every quality check.

03

Supplier Management Takes 15-25 Hours Weekly

Reconciling purchase orders across 50-150 suppliers with manual invoice matching averages 2-3% discrepancy rate on purchased goods.

04

Order Response Loses 15-20% of Inquiries

Checking MRP, inventory, and capacity manually for customer delivery commitments takes 24-48 hours. Faster competitors capture inquiries before you can confirm availability.

Task analysis

What AI Handles vs. What Stays Human

AI takes the repetitive load. Your team focuses on judgment calls and relationships.

Master Production Schedule (MPS) Generation

AI analyzes demand signals, inventory levels, and capacity constraints to auto-generate optimized MPS without manual spreadsheet manipulation

Hands off ~4-6 hours/week (illustrative)

Material Requirements Planning (MRP) Execution

AI runs MRP bursts against ERP data, identifies gaps, and creates purchase requisitions automatically

Hands off ~3-5 hours/week (illustrative)

Capacity Planning Across Work Centers

AI simulates constraint-based scheduling across 5-15 work centers, identifying bottlenecks before they occur

Hands off ~2-3 hours/week (illustrative)

Quality Control Document Creation

AI auto-populates ISO 9001/IATF 16949 forms, generates non-conformance reports, and routes for approval workflows

Hands off ~2-4 hours/day (illustrative)

Supplier PO Reconciliation

AI matches incoming invoices against POs, flags discrepancies, and routes matching exceptions for review

Hands off ~10-15 hours/week (illustrative)

Customer Order Acknowledgment

AI checks inventory, production schedule, and capacity in real-time to auto-generate delivery commitments

Hands off ~1-2 hours/day (illustrative)

Schedule Optimization and Rescheduling

AI monitors KPIs and auto-suggests schedule revisions when disruptions occur, reducing reactive planning time

Hands off ~2-3 hours/week (illustrative)
Workflow comparison

Before & After AI

The same process. Night-and-day difference.

Before — manual
01
Review open orders from ERP
30 minutes·Manual export and filtering required
02
Check inventory levels for each component
1-2 hours·Multiple system queries and spreadsheet compilation
03
Review capacity at each work center
1-2 hours·Manual capacity grid updates often outdated
04
Draft production schedule in Excel
2-3 hours·No real-time constraint validation
05
Run MRP and create purchase requisitions
1-2 hours·Batch processing overnight, not real-time
06
Manually respond to customer order inquiries
24-48 hours·Email back-and-forth, multiple system checks
07
Create quality documentation for each lot
2-4 hours daily·Manual form completion, audit trail gaps
After — handed to AI
01
AI automatically ingests orders and demand signals
Real-time·Zero manual effort, processing, on the schedule set in your SOW
02
AI checks inventory across all locations instantly
Seconds·Manual lookup reduced to automated review with validation
03
AI simulates capacity across all work centers
Minutes·Real-time constraint analysis vs. outdated manual grids
04
AI generates optimized production schedule
10-15 minutes·Planning time reduced with constraint optimization
05
AI executes MRP and auto-approves requisitions
Real-time·Overnight batch to processing, on the schedule set in your SOW
06
AI provides instant order commitment with ATP
Seconds·Customer responses reduced from manual delay to prompt AI-assisted replies
07
AI auto-generates ISO 9001 quality documents
Real-time·Daily data work reduced to auto-population with audit trail
Implementation

How We Deploy

From signed contract to live AI workforce. No long IT projects. No dragging it out.

Phase 1

Discovery & Data Integration

Connect AI to existing ERP (SAP, Oracle, Microsoft Dynamics), extract historical scheduling data, and configure work center rules. Validate data quality and map 50-200 SKU attributes.

FAQ

Common Questions

Real objections from Manufacturing Companies owners considering AI AI Production Planner.

01How does AI handle unexpected production disruptions like machine breakdowns?

AI checks work center status at the levels set in your SOW, with a named person for exceptions and can auto-reschedule around breakdowns within minutes. It identifies alternative production paths and alerts planners of required approvals for significant changes.

02Will AI work with our existing ERP system (SAP, Oracle, Dynamics)?

Yes. Our AI integrates via standard API connections to all major ERP platforms. We map your existing data structures, work center definitions, and scheduling rules without requiring system replacement.

03How accurate is AI at predicting material availability for production?

AI analyzes historical supplier performance, lead times, and current purchase order status. It flags at-risk materials before shortages occur.

04What happens when AI recommends a schedule that conflicts with union agreements or labor rules?

AI is configured with your labor rules, overtime policies, and union constraints as hard constraints. It never recommends schedules that violate these parameters without explicit human override.

05How do we maintain audit trails for ISO 9001 and IATF 16949 compliance?

AI automatically captures every scheduling decision, changes made, and approver identities in immutable audit logs. This exceeds ISO documentation requirements and simplifies external audits.

Still have questions? We'll answer them directly.

Talk to an expert

Same industryOther roles we support in Manufacturing Companies

Put AI to work. Keep your people leading.

A full-time AP / bookkeeping seat costs about $68K–$74K a year in wages and benefits (our estimate from BLS 2025/2026 data). Your assessment estimates the numbers for your business. 90-day fee/work pause on agreed SOW metrics

A 20-minute call. We'll show you which seats AI can take over — and where humans stay essential.

Book the 20 minutes