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Challenge:
While first gen AI applications like data querying and PDF extraction offer an unprecedented view into CRM and ERP systems, critical limitations remain when aligning AI to strategic business goals:
Manual effort is still required to run prompts and upload files, constraining scalability and usage frequency.
Prompt expertise varies, leading to inconsistent results and limiting the reliability of insights across the organization.
Data capture is inconsistent, reducing reporting accuracy and undermining the value of AI-driven insights.
Historical context is often lost, impairing quality control and the ability to audit or refine AI outputs over time.
Workflow automation is fragmented, as AI actions depend on individual user behavior rather than being embedded into standardized business processes.
To fully realize the potential of AI in the enterprise, organizations must address these challenges by moving beyond isolated use cases toward integrated, automated, and governed AI-driven workflows.
Solution:
Industrial AI is a next-generation platform engineered to combine flexible business process management with a state-of-the-art batch processing engine. Industrial AI enables your organization to run its highest-value questions continuously — all day, every day — and deliver actionable answers precisely where and when they are needed.
Key differentiators include:
Multi-Source Input Handling: Seamlessly ingests data from JSON, email, APIs, voice recordings, PDF/JPG documents, and databases.
Optimized AI Model Processing: Uses the best AI model based on precision, speed, or cost, leveraging any model available on the market.
Flexible Output Delivery: Routes results to a wide range of destinations, including JSON outputs, emails, APIs, reports, workflows, and database systems.
Industrial AI transforms AI from an ad hoc tool into a scalable, enterprise-grade capability — powering real-time insights, workflow automation, and competitive advantage.
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