Your enterprise platforms are powerful. We help you get even more from them by augmenting with local AI — bridging cloud to local, keeping your platform at the center, and improving ROI on workloads that benefit from running locally.
SEE HOW IT WORKS ↓Enterprise platforms use well-established licensing models that reflect the comprehensive capability they deliver. Understanding how these models work helps identify where local AI augmentation can complement your platform — extending its value while improving overall ROI.
Pega's case management and decisioning engine is industry-leading for orchestrating complex workflows. It licenses by case type, concurrent user, and decision execution. For high-volume decision workloads, local AI can complement Pega by handling eligible inference tasks — keeping Pega at the center while improving ROI on AI-intensive operations.
Salesforce excels at CRM, customer engagement, and ecosystem integration. It licenses per user, with AI features and API calls as additional tiers. For organizations with high-volume AI and API workloads, local AI can augment the Salesforce ecosystem — handling eligible operations locally while Salesforce remains the system of record.
SAP delivers deep enterprise resource planning with HANA's in-memory processing power. It licenses by named user type and CPU cores, with SAP AI Core adding per-inference pricing. Local AI can work alongside SAP by handling high-volume inference tasks outside the platform — letting SAP focus on what it does best while extending your AI capabilities.
Oracle provides robust database and enterprise application infrastructure. Its processor-based licensing and Named User Plus models reflect the platform's depth. Local AI augmentation can complement Oracle by running eligible AI workloads on your own infrastructure — keeping Oracle at the center of your data layer while extending its reach.
Your platform investment covers core capabilities your business depends on. Local AI augmentation can complement that investment in specific areas — handling eligible workloads locally while your platform continues to do what it does best.
| Workload Area | Platform Investment | With Local AI Augmentation |
|---|---|---|
| High-volume API calls | $0.003 - $0.01 per call | Eligible calls run locally at $0 |
| AI/ML premium features | Platform tier pricing | Local AI handles eligible inference |
| Support complexity | 20-25% of license cost | Reduced scope, simpler support needs |
| NLP across platforms | Licensed separately per platform | 1 local model augments all platforms |
| Decision automation | Per-execution metering | Eligible decisions run locally |
| Data processing | Platform storage tiers | Local processing at ~$0.02/GB/mo |
Consider an illustrative example: an enterprise running 5 million AI-eligible operations per month (NLP, document classification, decision automation). By running these eligible workloads locally alongside the platform, here's the potential ROI improvement:
Your platforms stay at the center. They do what they do best: workflow orchestration, data management, user interfaces, and business process automation. We help you identify workloads that are eligible for local AI augmentation — and design the bridge between your platform and local infrastructure.
With 15 years inside these platforms, we know every integration point, every API boundary, every place where local AI can complement the platform. We design augmentation strategies that make your existing investment work harder — not replacements.
The result: your platform stays at the center. Your teams keep their workflows. You get better ROI by augmenting with local AI where it makes sense.
We'll review your platform landscape, identify where local AI augmentation can improve ROI, and design an approach that keeps your platforms at the center.
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