Overview
Syntax Manufacturing Finance & Cost AI Suite built on Amazon Bedrock protects margin where it actually erodes — at the SKU and plant level. Plant controllers and manufacturing CFOs no longer have to wait for monthly close to discover that material, labor, overhead, or yield variances are silently destroying profitability.
Unlike manual ERP reporting or general-purpose BI tools that require analysts to assemble variance data after the fact, this suite uses AI to automatically detect cost-per-unit drift and attribute it to specific driver categories in real time. Pre-built integration with SAP and Oracle ERP Cloud eliminates months of custom development, delivering actionable cost intelligence from day one.
Key Capabilities
- SKU-level cost-per-unit drift detection across plants
- Variance decomposition vs standard cost, by driver category
- Material, labor, overhead, and yield variance attribution
- On-demand conversational analytics for cost performance
Customer Benefits
- Margin erosion surfaced before it reaches the P&L
- Variance investigations point straight to the right driver — no more hunting
- Controllers spend time acting on variance, not assembling it
- Plant and corporate finance aligned on cost reality
- Targeted, defensible intervention with operations
Outcomes
- Reduced cost-per-unit variance vs standard
- Faster, more accurate monthly close commentary
- Higher gross margin via earlier intervention
- Improved standard cost setting in the next planning cycle
- Measurable productivity gain for the cost accounting team
Who it's for
Plant Controllers, Manufacturing CFOs, Cost Accounting Managers, and FP&A leaders at multi-site manufacturers running standard cost systems on SAP or similar ERPs.
Delivered as a managed AI suite with enterprise security, consolidated billing, and integration to ERP financials and product costing systems.
Engagement Process
Delivered as a managed AI suite with enterprise security, consolidated billing, and integration to ERP financials and product costing systems.
Less than 8 weeks to Value-Realization
- **Discovery – Define & Prioritize
- **Integration and Configuration – Configure & Build
- **Pilot and Validation – Deploy, Test and Validate
- **Go-Live and Handover – Value Generation begins
Highlights
- Automated variance attribution eliminates manual assembly - The suite uses AI to automatically decompose cost-per-unit drift into material, labor, overhead, and yield drivers at the SKU and plant level. Unlike ERP standard reports or BI dashboards that require analysts to manually tag and investigate variances, Syntax surfaces the root cause automatically so controllers can act immediately rather than spend days assembling data after monthly close.
- Real-time margin protection before the P&L is impacted - Cost-per-unit drift is detected continuously rather than discovered during month-end reconciliation. Plant controllers and manufacturing CFOs see margin erosion as it develops, enabling targeted intervention with operations while there is still time to correct course and protect gross margin in the current period.
- Pre-built ERP integration accelerates time to value - Native connectors for SAP S/4HANA, SAP ECC, and Oracle ERP Cloud eliminate months of custom integration work. The engagement follows a structured process from discovery workshop through go-live in approximately 8-10 weeks, with conversational analytics enabling finance teams to query cost performance without relying on analyst intermediaries.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Pricing
Custom pricing options
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"Syntax provides 24x7 global support for all AI Suite services. Support covers issue resolution, troubleshooting, configuration questions, and assistance with integrations.
Getting Started
To begin an engagement, schedule a discovery call with Syntax to assess your data readiness, identify priority use cases, and receive a tailored implementation plan. Contact Syntax through AWS Marketplace or visit syntax.com to request a scoping session.
Ongoing Managed Service Support
As a managed AI suite, Syntax handles ongoing model management, data pipeline monitoring, and system optimization. Support covers questions about using the service, troubleshooting data integration issues, and requesting configuration changes.
Contact and Assistance
For support inquiries - including service issues, troubleshooting, and refund requests - reach out to Syntax's global support team at support@syntax.com , available around the clock.