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What does practical, agentic AI look like in a real business workflow?
Our new TechFoundry IMS case study walks through seven demos—from purchase-order intake and catalog conflict resolution to vendor orders, shipments, client shipping, and invoice reconciliation.
It shows how AI agents, document processing, and software integrations work together, with human review where judgment matters. I’ve also included the technology stack behind the platform.
Explore the case study:
https://contra.com/p/oWU3ssF3-tech-foundry-ims-ai-procurement-and-fulfillment-in-seven-demos
Building an agentic AI solution? Book a free initial consultation with me on Contra. We’d love to work with you.
#PracticalAI #AgenticAI #Automation #SoftwareDevelopment
Purchase-order intake and catalog conflict resolution feel like the right place to start with agents, since the pain is concrete. How do you handle the cases where the agent is unsure and a human has to step in?
Yup there is human in the loop, if there is a mismatch agent flags it and move this human review queue.
This is exactly the agentic AI discussion we need more of — moving from chatbots to actual Ops: PO intake, vendor orders, shipments, invoice reconciliation. That's where ROI is.
Loved the TechFoundry IMS visual — that IMS AI Agent as the central orchestrator with Review & Approve...
Hi Sagar, unfortunately, I am not allowed to share more, but yes human in the loop is there within every step of the automation. Secondly, we have various models in play not just model from Claude to ensure AI cost is contained.
😎
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Watch the vendor shipment demo:
https://www.youtube.com/watch?v=FmjdRRfUZh8
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