Back office ops · Production

Duvo deploys production voice agents in one week with ElevenAgents

The problem

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.

First attempt

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.

Workflow diagram · grounded in source
1
Business user describes process
trigger
“Business users describe a process out loud, and Duvo maps it, identifies gaps, and converts it into a tracked execution assignment”
2
Clarity maps workflow via conversation
ai_action
“Duvo Clarity captures how workflows actually operate through structured conversations with the people who run them. In one session with a European grocery retailer, Clarity mapped a promotion setup workflow that spanned five systems and …”
3
Gap and margin leakage identification
ai_action
“It found two control gaps and over one million euros in annual margin leaking from delayed supplier confirmations”
4
Tracked execution assignment created
output
“converts it into a tracked execution assignment with ownership, status, and controls built in”
5
Voice agent calls suppliers
ai_action
“calling suppliers, confirming delivery dates, collecting documentation, and updating enterprise systems”
6
Results written to ERP
integration
“writes the results back into the ERP”
Reported outcome

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.

Reported metrics
Time to production voice layerone week
Custom speech infrastructure build time avoidedestimated 8-12 weeks
Annual margin leaking identifiedover one million euros
Workflow mapping session durationan afternoon
Show all 6 reported metrics
time to production voice layerone week
custom speech infrastructure build time avoidedestimated 8-12 weeks
annual margin leaking identifiedover one million euros
workflow mapping session durationan afternoon
comparable consulting engagement durationsix-to-eight-week
infrastructure work removedremoved months of infrastructure work
Reported stack
ElevenAgentsERP
Source
https://elevenlabs.io/blog/duvo
Read source ↗

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.

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