Governance for Voice Agents & Chatbots · UK-Based
Governance that makes your voice agents and chatbots shippable
The EU AI Act, the NIST AI RMF, and SR 11-7 are no longer next-year problems, and conversational systems sit squarely in scope. We turn governance into concrete, testable systems for your voice agents and chatbots: interaction disclosure, tamper-evident transcript logging, genuine human oversight on calls and chats, and honest documentation, built on AWS by ex-AWS engineers.
Ex-AWS engineers
Governance-first delivery
Production-grade, not pilots
UK-based team
Ungoverned voice agents and chatbots never ship
Article 50 transparency obligations for conversational AI become binding on 2 August 2026. The teams that struggle are the ones treating compliance as a document to bolt on after the agent is built.
Disclosure done wrong
A one-line disclaimer in a footer does not satisfy Article 50 when a user is talking to a voice agent or chatbot. Compliant disclosure and machine-readable content provenance have to be engineered into the conversation itself.
Transcripts that are not legal artefacts
Article 12 requires complete, tamper-evident, long-retention logging of what the agent said: a legal artefact, not the weeks of debugging telemetry a typical observability stack keeps. These are different systems with different guarantees.
Oversight that is a fiction
A human who rubber-stamps a conversation they cannot follow is not effective oversight under Article 14. Real oversight means the reviewer can understand what the agent decided, intervene mid-call or mid-chat, and halt it.
Handled well, the Act's core provisions are simply the properties of a trustworthy voice agent or chatbot, and this is what makes yours shippable.
Conversational-AI governance as functional requirements
Each provision translated into the architecture of your voice agents and chatbots with acceptance criteria, not aspiration.
Interaction disclosure (Article 50)
Clear, unmissable disclosure that the user is speaking to an AI voice agent or chatbot, in their language, plus machine-readable provenance and content credentials embedded in what the agent generates.
Transcript logging (Article 12)
An append-only, region-pinned, integrity-protected transcript store (separate from operational telemetry) where every call and chat is reconstructable and stands up as evidence.
Human oversight on calls & chats (Article 14)
Oversight designed into the conversation: the reviewer understands why the agent responded as it did, can intervene before an action commits, and has a real, logged stop button, with safeguards against over-reliance on the model.
Conversation evaluation & documentation
Evaluation of representative and adversarial conversations, plus Annex IV documentation generated as a by-product of building and mapped to the NIST AI RMF and SR 11-7, so validation is an assembly job, not an archaeology project.
What clients get
A clear map of which of your voice agents and chatbots carry which obligations, and a sequenced plan to meet them.
Interaction disclosure and provenance shipped where users actually talk to your AI.
A legal-grade transcript logging layer and genuine human oversight built into every call and chat.
Living Annex IV documentation and framework mappings ready for a regulator or validator.
Facing the August 2026 EU AI Act deadline for your voice agents or chatbots?
Book a free 30-minute discovery call. We'll turn your governance obligations into an engineering plan for your conversational AI, not last-minute paperwork.