Cyclr's embedded iPaaS drives a 25% increase in sales for Neural Voice's AI conversation platform
Neural Voice had to build integrations from scratch every time they wanted to connect their AI conversation platform to a new customer's system, consuming engineering resources that could otherwise go toward core product development.
Prior to Cyclr, even simple integration changes required raising internal tickets, holding meetings, having engineers drop current work to code backend changes, update the frontend, and test — a process Neural Voice estimates would have cost around £2,500 per change.
Using Cyclr resulted in a 25% increase in sales for Neural Voice, saved days to months of engineering work, and allowed the team to focus on core product features while delivering new customer integrations within weeks.
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Frequently asked questions
What did this team achieve with this AI workflow?
Using Cyclr resulted in a 25% increase in sales for Neural Voice, saved days to months of engineering work, and allowed the team to focus on core product features while delivering new customer integrations within weeks.
What tools did this team use?
Cyclr, HubSpot, Bird, Salesforce, Pipedrive, OpenAI API, WhatsApp.
What results were reported?
Sales increase: 25%; Engineering work saved: days (and in some cases months) of work; Estimated cost of previous manual integration change: £2,500; Time to deliver new integration: a matter of weeks (source-reported, not independently verified).
What failed first in this deployment?
Prior to Cyclr, even simple integration changes required raising internal tickets, holding meetings, having engineers drop current work to code backend changes, update the frontend, and test — a process Neural Voice e…
How is this customer support AI workflow structured?
AI Conversation triggers webhook → Store data and upload transcript → Automated messages sent to user → Template copy for new customers.