ETT + GetVocal AI
ETT works with GetVocal AI where clients need governed, multilingual customer-facing agents with strong human oversight — a natural fit for regulated sectors where transparency and control are non-negotiable.
About GetVocal AI
GetVocal AI is a Paris-based conversational AI company building governed, hybrid human-AI agents for enterprise customer experience — across voice, chat, WhatsApp and messaging channels.
Its platform structures conversations on a proprietary conversational graph, balancing deterministic flows with generative flexibility, with human-in-the-loop oversight and the auditability regulated European enterprises require.
How GetVocal AI fits into how we work
Conversational AI in a regulated business has a harder bar to clear: it cannot simply be fluent, it has to be controllable, auditable and trustworthy. GetVocal AI fits the ETT story precisely because it is built for that bar, structuring conversations so they balance generative flexibility with the determinism and oversight regulated European enterprises depend on.
ETT deploys GetVocal AI where the stakes around what an agent says are high. Our job is to bring it into a client's environment in a way that respects their compliance obligations, supports the languages their customers actually use, and keeps humans firmly in the loop. It is the partner we lean on when an organisation wants the reach of conversational AI without surrendering the control their regulators expect them to keep.
How we turn the GetVocal AI partnership into client outcomes
Technology alone doesn’t create value — how it’s applied does. This is the approach we take to make sure the GetVocal AI relationship delivers something a client can measure and trust.
Control before fluency
We use GetVocal's structured conversational approach to keep agents on-script where it matters, so generative flexibility never comes at the cost of saying something the business cannot stand behind.
Built for oversight
Human-in-the-loop review and auditability are designed in from the start, so regulated clients can show exactly how and why an agent responded the way it did.
Meet customers where they are
Across voice, chat and messaging, in the languages customers actually use, we deploy agents that widen reach without fragmenting the experience or the governance behind it.
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