What Impacts the Cost of AI?
The cost of implementing an AI solution varies depending on several key factors:
Data Readiness and Quality
All AI solutions require clean, structured data. Costs can increase if category codes, master data attributes, or source files need cleanup or reorganization before automation or analysis can begin.
Capabilities & Scope
The broader the scope, the higher the cost. A simple document workflow or single machine learning model will be less expensive than multi-role digital assistants or complex, embedded models spanning several EnterpriseOne processes.
Cloud Infrastructure & Volume
AI solutions from ERP Suites are built on Oracle Cloud Infrastructure (OCI). Pricing is influenced by how much data is moved or processed, whether you're using OCI for document transactions, model training, or storing structured and unstructured data.
Usage & Frequency
Recurring costs are affected by how often the solution is used. High volumes of document scans, machine learning jobs, or digital assistant queries will consume more OCI resources and increase associated cloud costs.
Technology Stack and Setup
All solutions are optimized for JD Edwards Tools Release 9.2.8.2+. If you're not yet on this release or lack OCI setup and authentication, additional configuration and infrastructure setup may be required.
Security and Integration Complexity
Integrating AI securely with JD Edwards or external systems can vary in effort. Role-based access, user authentication, and API or third-party integrations may increase implementation scope depending on your environment.
What to Expect after Implementation
After your first year, ongoing costs typically include cloud usage, software support, and continued access to innovation. This may cover Oracle Cloud Infrastructure (OCI) services like document processing, machine learning workloads, or digital assistant requests—depending on the solution you choose.
Franklin – Digital Assistant: $50,000 – $90,000/year
Document Intelligence: $40,000 – $60,000/year
Smarter Analytics: $60,000 – $90,000/year
Cloud Consumption
Most AI workloads run in Oracle Cloud Infrastructure (OCI). The more you use, the more OCI resources are consumed:
- Digital assistant: requests
- Doc Intelligence: pages
- Smarter Analytics: models run
Support and Enhancements
Each solution includes annual support for bug fixes, updates, and access to ERP Suites’ AI innovations. This also covers light optimization, such as refining flows or adjusting ML models as your needs evolve.
Data Volume and Storage
Some solutions require persistent data storage in OCI, such as uploaded documents or structured data used for training models. Larger volumes mean higher storage costs.
What our customers are saying
"AI is helping us with our manufacturing processes by creating alternate BOMs and routings and reducing manual work for our schedulers and planners.
Next up, we want AI to be more involved by making work order suggestions from MRP messages."
How Ford Meter Box uses an AI Digital Assistant