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.
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?
You need a strong starting point for a sales-tech brand without trying too hard.
A generic SaaS template won’t work in this case.
What you need are:
• Sales-focused product UI
• Personalized outreach with follow-up and reply intelligence
• Pricing, testimonials, FAQs, and integrations
• CMS for blog posts, feature pages, and case studies
• Clear paths to demos and trials
That’s how we designed Avina, our new Framer template.
Built for AI sales products, outbound automation tools, and sales-focused SaaS products.
Avina is designed around a real outbound sales journey.
What I like here is the focus on the actual sales journey, not just the visual design. For AI sales tools, showing how outreach, follow-ups, and reply handling connect to real outcomes can make a big difference. Curious how you approached that in Avina?