Voice Agent Deployment Kit
A voice agent is easy to demo and hard to ship. In the EU, the hard part is mostly the rules. This is the playbook that puts the rules before the launch, not after it.
The compliance surprise arrives after launch
Building a voice agent that can hold a conversation is now the straightforward part. The expensive part shows up later, when the agent meets real callers in a regulated market. Who is accountable when it gives wrong information. What it is allowed to record, store, and process. What a caller must be told before the conversation starts. How the system behaves under the EU AI Act and GDPR. Teams that treat these as an afterthought at launch discover the cost when it is hardest to fix.
The constraint this work answers is sequencing. The compliance and adoption decisions are not extra paperwork bolted on at the end. They are design decisions that have to be made before the agent ships, or they become emergencies that stop it.
39 modules that survive contact with EU regulation
The kit is a production playbook of 39 modules. It treats a voice agent as an operational system in a regulated environment, not a clever demo, and it covers the decisions that decide whether a launch holds up:
- SLAs. What the agent promises, what happens when it cannot deliver, and who owns the fallback to a human.
- GDPR. What is recorded, why, for how long, and on what lawful basis, with the caller's rights built in rather than bolted on.
- The EU AI Act. Where a conversational agent sits under the new rules and what that obliges you to disclose and document.
- Vertical scripts. Conversation design tuned to specific sectors, where the right wording is also the compliant wording.
- Adoption maps. The organisational and operational work that most teams discover too late, surfaced early enough to plan for.
The output is a deployment plan a team can follow so the regulatory and adoption work is done before launch, in the right order.
The hard part of voice AI is the deployment, and it can be mapped
It demonstrates that shipping a voice agent in the EU is a structured deployment problem, not a model problem, and that the structure can be written down in advance. The playbook makes the obligations and the adoption work explicit and sequenced, so a team can see the whole path from prototype to a launch that holds, before it commits. The proof is the map itself: public, specific, and usable on a real deployment.
Where the honesty line sits
- This is compliance and deployment scaffolding, not a certified legal opinion. It does not replace qualified legal or data protection advice for a specific deployment.
- It is a reproducible playbook, not a record of a named client launch. It does not claim outcomes for any specific company.
- Regulation moves. The kit reflects the framing of the GDPR and the EU AI Act as they stand, and a real launch has to check the current position.
- Judgment stays human. The playbook structures the decisions; the accountable choices about what to deploy remain a human responsibility.
Everything is on GitHub
The playbook is public. You can read how the modules are sequenced, see which decisions come before launch, and adapt the material to your own deployment and sector.
Most client work stays private by default. This playbook is the part of the method that can be shown, read, and pressure tested by anyone. Start a conversation →