Duvo deploys production voice agents in one week with ElevenAgents
Enterprise operations still depend on human conversations and manual work — calling suppliers, chasing confirmations, collecting documents — across workflows spanning multiple systems and teams that have never been mapped or automated.
Building custom speech infrastructure in-house would have required an estimated 8-12 weeks and ongoing maintenance of streaming pipelines, barge-in handling, and speech lifecycle management.
source quote
source quote
source quote
source quote
source quote
source quote
Duvo deployed a production-ready voice layer in one week, mapped an enterprise workflow in an afternoon rather than through a six-to-eight-week consulting engagement, and identified over one million euros in annual margin leaking for a grocery retailer.
Show all 6 reported metrics
Compare to your context
Tell us your scale, team, and constraints. We'll show what changes at your size, what fails at your scale, and whether this case is a fit, needs adaptation, or won't scale to you. Free demo, no signup.
Frequently asked questions
What did this team achieve with this AI workflow?
Duvo deployed a production-ready voice layer in one week, mapped an enterprise workflow in an afternoon rather than through a six-to-eight-week consulting engagement, and identified over one million euros in annual ma…
What tools did this team use?
ElevenAgents, ERP.
What results were reported?
Time to production voice layer: one week; Custom speech infrastructure build time avoided: estimated 8-12 weeks; Annual margin leaking identified: over one million euros; Workflow mapping session duration: an afternoon (source-reported, not independently verified).
What failed first in this deployment?
Building custom speech infrastructure in-house would have required an estimated 8-12 weeks and ongoing maintenance of streaming pipelines, barge-in handling, and speech lifecycle management.
How is this back office ops AI workflow structured?
Business user describes process → Clarity maps workflow via conversation → Gap and margin leakage identification → Tracked execution assignment created → Voice agent calls suppliers → Results written to ERP.
Related back office ops cases
Now compare it to your context
This case is one data point. Whether its pattern fits you depends on your volumes, your stack, and your exception load — that comparison is the step no case study can do for you.