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Regulated sectors need to know exactly what an AI agent did and why it was authorized. This Evidence Vault displays a fully orchestrated proof chain - from browser snapshot to data transformation to client report - each step hash-verified and cryptographically linked. It provides the immutable audit trail that CISOs and regulators demand.
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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?
Mullion is a landing page I designed and built for an AI privacy product: a gateway that swaps names, emails and card numbers for tokens before a prompt reaches a model, and puts them back when the answer comes home.
Reeded glass lets the light through and keeps the detail back. You can see someone's shape behind it, never who they are. That's exactly what the product does to a prompt, so the hero is a live pane of reeded glass in daylight, and everything personal on the page sits behind the same ribs.
Live: https://mullion-phi.vercel.app
this is beautiful work
Reviewing your audit log workflow for a legal tech platform
