Choose one workflow
Start the conversation. We'll help your team find the right use case.
Deepfabric / Customer stories
Two customer stories. Different workflows. See what it takes to get agents into production and what teams report as they begin to use them.
Customer evidence
Read the operational context, what reached production, and the results the customer has reported. Deployment milestones and outcomes are labeled separately.
Customer story
Six DeepFabric AI agents reached production across commercial, operations, transportation and client service in a three-month rollout.
Read the Kenco StoryCustomer story - TwinMed
Three agents were live in TwinMed's early procure-to-pay deployment; two additional workstreams were in rollout. TwinMed reported fewer late discrepancy reports and faster supplier-issue resolution.
Read the TwinMed StoryTwo ways to prove progress
Kenco demonstrates the move into production across functions. TwinMed adds early customer-reported process results. Both stories distinguish what has happened from what is planned.


Kenco - deployment evidence
Six agents deployed over three months across four operating functions.
Production rollout, not a financial ROI claim


TwinMed - customer-reported outcomes
Three agents live in initial production. TwinMed reported a >90% reduction in late receiving-discrepancy reports and ~60% faster supplier-issue resolution.
Customer-reported results - Compared with the prior six-month period
Getting started
DeepFabric helps teams move from AI interest to operational impact with a simple first step: identify a high-value workflow, see a real demo, and start with confidence.
Choose one workflow
Start the conversation. We'll help your team find the right use case.
Test it on your data
Bring your real work. See DeepFabric apply it to your operation.
Deploy with confidence
Go live. Move from demo to production with controls you can trust.
See how DeepFabric can take on one practical workflow using your systems, files, rules, and review points.