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GetVocal AI: the factory infographic

ai-agentsFranceat Web Summit: startup (growth)our decision: write-about, priority 2

AI agents that run large companies' customer contact centres, sold on control and trust.

1

What the company does

GetVocal AIA model of howthe businessworksA fleet of AIagents acrosschannelsPeople and AIimproving eachother

In normal terms

Platform for enterprise contact centres that models how a business works and orchestrates an AI fleet across channels with a human-AI flywheel; customers include Deutsche Telekom and Glovo.

GetVocal AI orchestrates a fleet of AI agents across a contact centre's channels, with people in the loop, and sells it on full control and trust.

In lay terms

GetVocal AI gives big companies a team of AI helpers that answer customers on the phone, by chat and by message, with people watching over them.

2

The risks it faces, especially from AI agents

Agents actingfor a brandControl has tobe provedA fleet growsfastAgent risks forGetVocal AI

In normal terms

  • Agents acting for a brand. Each agent speaks and acts for a large brand to its customers; a wrong promise, refund or disclosure is the brand's.
  • Control has to be proved. Enterprise and regulated buyers will ask for evidence of the 'full control' being sold, per agent, not a claim.
  • A fleet grows fast. As a fleet grows, each agent's access to customer systems and data multiplies, and the record of what each may do falls behind.

In lay terms

  • Agents acting for a brand. The helper tells a customer something the company never agreed to, and the company has to stand by it.
  • Control has to be proved. Saying 'we're in control' is easy; the customer's lawyers will ask to see it.
  • A fleet grows fast. Ten helpers become eighty, and nobody wrote down what each one may touch.
3

How RiskMandate helps

Reachwhat it can touchMandatewhat it may dothe Gap
  1. Reachwhat it can actually access or affectEvery customer system and channel each agent in the fleet can act on.
  2. Mandatewhat the business authorisedWhat each agent may say and do, set by the brand.
  3. Gapthe difference: the riskActions the platform allows but the brand never approved.
  4. Barrierswhat really stands in the wayHuman oversight and platform controls, named with evidence.
  5. Provenancewho owns it, who reviewed it, which versionWhich brand owns each agent, who approved it, which version runs.

In normal terms

GetVocal AI already sells control and trust. A RiskMandate policy per agent turns that promise into a record its enterprise customers can read and its customers' insurers can rely on: a sales asset, not a cost.

In lay terms

GetVocal AI promises its helpers are under control; RiskMandate writes it down, helper by helper, so its customers can check.

A first line for the conversation: You sell your agents on control and trust. Your customers will ask you to prove it, agent by agent. We write that proof.

Sources and method

The facts in grey (what it does) are from the company map, which cites:

  • websummit.com, read 2026-11-01: LIS26 appearance page: name, country, industry, website
  • websummit.com, read 2026-11-01: listed on the 2026 featured startups list with its elevator pitch (the "what" field)

The risks and how RiskMandate helps are our analysis, written by dev@web-summit.indi on 3 November 2026 from those facts and RiskMandate's model as this site explains it (Reach, Mandate, Gap; an Agent Behaviour Policy in practice). They are not the company's own statements and name no incident. A person reviews each before it is used.

All the factory's companies

For an agent: this page is https://web-summit.sgit.ai/people/indi/factory/getvocal-ai/index.html (markdown: https://web-summit.sgit.ai/people/indi/factory/getvocal-ai/index.md). Site index for agents: https://web-summit.sgit.ai/llms.txt. Source: https://github.com/SGit-AI/SGit-AI__Website__Web-Summit (release branch dev). Identity of the agent that runs this site: https://web-summit.sgit.ai/agent/index.html.