# Report: GetVocal AI

> GAMMA-Ray v0.0.155 (beta, for review; every rating is experimental). The GAMMA-Ray beta report on GetVocal AI: GetVocal AI agents (Enterprise AI Agents: voice, chat, WhatsApp, email) A4 · R2 · C1 · O1; 71 provisions lit, 17 sources captured.
> Page: https://gamma-ray.sgit.ai/reports/getvocal/ · Source: data/reports/getvocal.json


GAMMA-Ray report · Spectrum 0.2 beta · Public tier · read 2026-11-10 · not reviewed by the company yet

GetVocal sells a platform for building and running AI voice and chat agents for enterprise contact centres, with a supervisor console for human oversight.

1 solution carded of 5 found 17 sources captured and hashed 71 provisions lit in 8 of 8 instruments 6 examples of the agent at work, with sources

Built only from GetVocal AI's own public pages (product, blog, customer stories, privacy, status, about) and, for funding only, tech.eu. GetVocal AI has not seen this report. Nothing was tested and no credentials were used. If you are GetVocal AI and something here is wrong or missing, the correction will be made and dated, and you can claim the card to add evidence.

## The agentic solutions

One card per solution. Each level is computed from the evidence by a [published rule](../../spectrum/evidence-map/index.md); a dimension with nothing public reads "not yet evidenced", which is not a no. A card rates a product as documented, not anyone's deployment of it.

### GetVocal AI agents (Enterprise AI Agents: voice, chat, WhatsApp, email)

Customer-facing agents grounded in a graph of the customer's processes (ContextGraphOS) that converse and act in connected systems.

GetVocal AI agents a product, as documented SPECTRUM 0.2 BETA · Public tier · 2026-11-10 A4 Autonomy Orchestrates with options on · as shipped not yet evidenced π Moderate · S1·R5·A1 ×3 R2 Reach Integrated π Moderate · S1·R5·A1 ×3 C1 Control Stated with options on · as shipped not yet evidenced π Moderate · S1·R5·A1 ×3 O1 Openness Disclosed π Moderate · S1·R5·A1 ×3 Draft Stage: Building (8 of 16) In production Standout. Autonomy 4 (Orchestrates): &quot;Agents handle voice and chat across your existing stack (CRM, CCaaS, telephony, helpdesk)&quot; Next unlock. Control 2 (Configurable): public evidence that what it can reach is enumerated: scopes, permissions, tools would get there. Trust. FACT-Ray : 20 facts: 20 π Moderate · found by an agent, captured and hashed, checked by 2 other agents (same model family, shared repository); no human has signed it. Standards constellation. 71 provisions lit across 8 of 8 instruments. Salesforce EAAMM OWASP MCP AAGMM Microsoft NIST AI Act Evidence: 9 sources, captured and hashed · the card's page has the vault's read key · Not reviewed by its vendor yet · correct or claim this card

[The full card, every answer and its evidence](../../spectrum/cards/getvocal-agents/index.md) · [the governance layer](../../scans/getvocal-agents/index.md)

### Agent Control Tower

Supervisor console to monitor live conversations, validate actions, take over and audit. *No card yet (generally available): this solution has not been assessed.*

### Agent Builder / Studio (and GetVocal Assist copilot)

No-code builder for agent graphs; Assist is an in-platform copilot described as rolling out. *No card yet (builder available; Assist rolling out (July 2026 post)): this solution has not been assessed.*

### Hybrid Workplace Platform / Agent Control Center

Runs GetVocal agents, customer bots, third-party agents and human agents in one workspace. *No card yet (marketed): this solution has not been assessed.*

### ContextGraphOS

The graph model of business rules on which agent decisions run. *No card yet (underlying platform): this solution has not been assessed.*

## Our reading

**The shape.** GetVocal AI agents read A4 · R2 · C1 · O1 (Building). The agents write to the systems they are connected to, such as updating a booking or a customer record, across a customer's CRM, contact-centre, telephony and helpdesk tools. Each step of an agent's graph defines the data it may use and when it escalates; requests outside its authority go to a human operator with the conversation's context.

**Disclosure, from a deployment.** GetVocal's agents talk to the public, and one deployment shows the AI disclosure: for a large Spanish telecom operator, each call opened by saying the caller was speaking with a virtual assistant. No page states it as the default, and the Glovo story says many restaurant partners never realised they were speaking with AI. A page stating disclosure as a setting or a default would make it hold everywhere.

**Where the evidence is strongest.** Named customers with figures: Equans France (over half of calls resolved by the agents in the first 90 days), Vodafone, Glovo (80 agents across more than 20 markets) and Nicomatic, whose assistant logs confirmed production events in an ISO database on its own. A public status page reports incidents with timed updates.

**Control and Openness, what would move them.** Human validation of high-stakes actions is documented as a choice the customer configures, which is Control 1. A page naming the access the agents are granted in a customer's systems would reach level 2. For Openness 2, a page on the agents' limits and known failure cases, or a list of the models they run on, would meet the rule; the privacy policy names companies that receive data, not the models used.

**For readers.** GetVocal's own pages give two founding years: the About page says 2024 and the Series A post says 2023. The company raised a 26 million dollar Series A led by Creandum, as its post and tech.eu report.

## What would move it

The one piece of public evidence that would lift each card next:

- **GetVocal AI agents (Enterprise AI Agents: voice, chat, WhatsApp, email)**: Control 2 (Configurable). Public evidence that what it can reach is enumerated: scopes, permissions, tools.

## The agent at work

Examples from public pages that name a customer or give figures. Each source was captured and hashed on the date shown.

### Equans France

Three French-speaking voice agents for payroll, HR and supplier queries; over half of calls resolved by the agents in the first 90 days. "over half of all calls were fully resolved by AI agents"

[Source](https://www.getvocal.ai/news/equans-france-scales-shared-services-operations-with-getvocal-ai-voice-agents) (captured 2026-11-10T07:55Z, sha256 `d17abc182c2181d0`)

### Vodafone

Multichannel assistant for eSIM and roaming; 45% of those queries resolved through self-service. (figure 45% shown beside the span) "of roaming and eSIM queries resolved fully through self-service"

[Source](https://www.getvocal.ai/customers/vodafone) (captured 2026-11-10T07:55Z, sha256 `03da1f13124f56e6`)

### Glovo

WhatsApp and voice agents for restaurant partner check-in, uptime and onboarding; 80 agents across 20+ markets. "Glovo scaled to 80 AI agents across 20+ markets"

[Source](https://www.getvocal.ai/customers/glovo) (captured 2026-11-10T07:54Z, sha256 `13533474bec152b8`)

### A large Spanish telecom operator (unnamed)

Spanish-language voice assistant handling first-level support, with AI disclosure at call start and transfer to humans. "42% of eligible calls through self-service"

[Source](https://www.getvocal.ai/customers/large-spanish-telecom) (captured 2026-11-10T15:45Z, sha256 `7395e9c14edfe0e1`)

### Terrapinn

Outbound multilingual voice agent calling past event attendees; 1,000+ calls. "Weeks to roll out: 4"

[Source](https://www.getvocal.ai/customers/terrapinn) (captured 2026-11-10T07:55Z, sha256 `c55aeb490b0c81c4`)

### Nicomatic

Voice and chat assistant 'Sam' guiding factory operators through ISO root-cause workflows and logging events. "Sam automatically logs the event in the ISO database"

[Source](https://www.getvocal.ai/customers/nicomatic) (captured 2026-11-10T15:45Z, sha256 `caa2019ba39b7e40`)

## The company

- About page: founded in Paris by Roy Moussa and Antonin Bertin, dated 2024 "GetVocal is founded in Paris by Roy Moussa and Antonin Bertin." [Source](https://www.getvocal.ai/about) (captured 2026-11-10T07:54Z, sha256 `7acdd924fcc21c13`)
- Series A post: founded in 2023, headquartered in Paris, team of sixty "GetVocal was founded in 2023 and is headquartered in Paris" [Source](https://www.getvocal.ai/blog/getvocal-raises-26-million-series-a-funding) (captured 2026-11-10T07:54Z, sha256 `1e15a4fda67c39e8`)
- Series A of 26 million dollars led by Creandum, with Elaia and Speedinvest "led by Creandum with participation from Elaia and Speedinvest" [Source](https://www.getvocal.ai/blog/getvocal-raises-26-million-series-a-funding) (captured 2026-11-10T07:54Z, sha256 `1e15a4fda67c39e8`)
- Independent news (tech.eu, 18 Nov 2025) reports the round and a Paris HQ "The Series A funding round in GetVocal was led by Creandum" [Source](https://tech.eu/2025/11/18/ai-customer-support-agent-startup-getvocal-raises-26m/) (captured 2026-11-10T07:54Z, sha256 `5f2463f96c854e6d`)
- About page states 90+ enterprise teams and an average deployment time of six weeks "90+ enterprise teams across Europe trust GetVocal" [Source](https://www.getvocal.ai/about) (captured 2026-11-10T07:54Z, sha256 `7acdd924fcc21c13`)
- Privacy policy says the service is hosted in the EU on Google Cloud Platform "Our service is hosted in the European Union on the Google Cloud Platform" [Source](https://www.getvocal.ai/privacy-policy) (captured 2026-11-10T07:55Z, sha256 `4bf851501f7e9413`)

## The people

Public and professional only, from the company's own pages or a public professional source.

- **Roy Moussa**, CEO and co-founder. [Source](https://www.getvocal.ai/about)
- **Antonin Bertin**, CTO and co-founder. [Source](https://www.getvocal.ai/about)
- **Florian Auban**, COO. [Source](https://www.getvocal.ai/about)
- **Khue Le**, Head of R&D. [Source](https://www.getvocal.ai/about)
- **Rabie el Hassani**, VP Revenue. [Source](https://www.getvocal.ai/about)
- **Ana Banta**, VP Marketing. [Source](https://www.getvocal.ai/about)

## The graph

The company, its people and the stories on the left; each solution, the captured sources behind its card, the indicators those sources evidence and the provisions of the instruments those indicators touch, to the right. "Touched" never means "complies".

people and stories company solutions 9 sources 20 indicators 71 provisions, by instrument I03: Agent Builder is described as a no-engineering builder that makes agents from the customer's SOPs, transcripts and policies. I08: An FAQ answer on the voice page (the CRM question) says agents write to connected systems through scoped integrations, such as updating a booking or a customer record. I10: The llms.txt says the agents work across the customer's CRM, CCaaS, telephony and helpdesk systems. I11: The handoff payload is described as sent over a REST API to the agent desktop, naming Genesys Cloud and Salesforce integrations. I17: The Control Tower page says the agent consults a human expert on edge cases. I18: The Control Tower page says the agent asks a human to approve critical decisions before executing them. I20: The llms.txt says the agents resolve customer conversations end to end inside the customer's business rules, with human approval on high-stakes actions; the Control Tower FAQ says the agent cannot take actions its graph does not contain. I21: Each node of an agent's graph is described as defining the data it may access, its outputs and its escalation conditions. I36: The llms.txt names GDPR and the EU AI Act as the frameworks the platform is aligned with. I38: llms.txt says high-stakes actions such as large transactions, high-value returns and sensitive data get human-in-the-loop approval. A GetVocal blog on escalation says operators configure, in the Control Tower's Operator View, which decision nodes require validation. I40: An FAQ answer on the voice page (the hallucination question) says requests outside the agent's authority are escalated to a human operator. I41: The vendor describes an audit trail for each agent action, recording the graph node, data sources accessed and timestamp. I48: An FAQ answer on the Control Tower page says agent actions are limited to those present in the business-rule graph. I54: The public status page publishes incident reports with timed updates, including a call platform outage on 28 September 2026. I56: In one deployment for an unnamed large Spanish telecom operator, each call opened with a disclosure that the caller was speaking with a virtual assistant. No GetVocal page states that agents disclose they are AI by default or documents a disclosure setting; the EU AI Act blog advises deployers to add a disclosure node. I58: The agents are described as grounded in the customer's call scripts, help documents, CRM records and past transcripts. I67: The Control Tower dashboard is described as tracking KPIs, escalation trends and CX quality. I68: Corrections, escalations and validations are described as fed back to refine the agents continuously. S1: GetVocal's Nicomatic story names the customer and says its assistant Sam logs confirmed production events in the ISO database, notifies the supervisor and escalates when required. S3: An llms.txt resolves at the site root (fetched 2026-11-10). GetVocal AI Roy Moussa Antonin Bertin Florian Auban Khue Le Rabie el Hassani Ana Banta Equans France Vodafone Glovo A large Spanish telecom operator (unnamed) Terrapinn Nicomatic GetVocal AI agents (Enterprise AI Agents: voice, chat, WhatsApp, email) GetVocal AI agents A4 · R2 · C1 · O1 Agent Control Tower Agent Control Tower Agent Builder / Studio (and GetVocal Assist copilot) Agent Builder Hybrid Workplace Platform / Agent Control Center Agent Control Center ContextGraphOS ContextGraphOS getvocal.ai/llms.txt getvocal.ai/voice getvocal.ai/blog/ai-agent-escalat… getvocal.ai/control-tower getvocal.ai/blog/eu-ai-act-compli… status.getvocal.ai/events getvocal.ai/customers/large-spani… getvocal.ai/enterprise-ai-agents getvocal.ai/customers/nicomatic It is configured on a low-code or no-code builder and acts on real organisational data I03 It executes actions itself I08 It works across several domains or systems I10 It connects to external tools or services across a trust boundary I11 The agent handles routine tasks; the person is consulted on exceptions I17 The agent works independently; the person approves critical decisions only I18 Its purpose and permitted tasks are stated in writing I20 Its autonomy limits and the tools it may use are defined I21 The laws that apply to it are identified I36 High-impact actions need a person's approval I38 There is a defined escalation path I40 Its actions are logged I41 Policy is enforced as machine-readable rules I48 Incidents and errors are communicated to those affected I54 It tells the people it talks to that it is an AI I56 The data it uses is described I58 Its value is measured I67 It is improved on a regular cycle I68 It is in production: a public source names a customer or gives usage figures for what it does on its own S1 It is machine-readable for agents: it publishes an llms.txt, an AGENTS.md, an API description or an agent card S3 Salesforce 14 EAAMM 4 OWASP 10 MCP authorization 2 AAGMM 5 Microsoft 15 NIST AI RMF 15 EU AI Act 6 OWASP, AT3 Citizen Developer Agent Salesforce, Level 2: Simple Orchestration, Single Domain Salesforce, Level 1, how to advance from Level 1 to Level 2 Microsoft, 200: Repeatable, Business strategy Salesforce, Level 3: Complex Orchestration, Multiple Domain Salesforce, Level 2, how to advance from Level 2 to Level 3 Salesforce, Level 3, how to advance from Level 3 to Level 4 Microsoft, 400: Capable, Business strategy Microsoft, 200: Repeatable, Technology and data OWASP, AT6 Externally Extended Agent NIST AI RMF, GOVERN 6.1 NIST AI RMF, MAP 4.1 EAAMM, L3 Consultative (survey item Q9) EAAMM, L4 Supervisory (survey item Q9) NIST AI RMF, MAP 1.1 NIST AI RMF, MAP 2.1 NIST AI RMF, MAP 3.3 NIST AI RMF, MAP 1.3 EU AI Act, Article 13 OWASP, Maturity Level 1 Experimentation without Guardrails, key enterprise action NIST AI RMF, MAP 2.2 Microsoft, 300: Defined, Business strategy NIST AI RMF, GOVERN 1.1 OWASP, Maturity Level 4 Adaptive, Self-Regulating Governance, key enterprise action Microsoft, 100: Initial, AI governance and security OWASP, Maturity Level 2 Policy-Defined, Human-in-the-Loop, key enterprise action EU AI Act, Article 14 AAGMM, GD-06 NIST AI RMF, MAP 3.5 Salesforce, Level 3, how to advance from Level 3 to Level 4 EAAMM, Prerequisite, L2 to L3 NIST AI RMF, GOVERN 3.2 OWASP, Maturity Level 0 Unaware and Ad Hoc, key enterprise action OWASP, Maturity Level 1 Experimentation without Guardrails, key enterprise action EU AI Act, Article 12 AAGMM, GD-03 AAGMM, GD-08 OWASP, Maturity Level 3 Integrated, Continuous Oversight, key enterprise action OWASP, Maturity Level 4 Adaptive, Self-Regulating Governance, key enterprise action Microsoft, 500: Efficient, AI governance and security NIST AI RMF, MANAGE 4.3 EU AI Act, Article 73 EU AI Act, Article 26 EU AI Act, Article 50 AAGMM, GD-05 EAAMM, Readiness dimension 2 Salesforce, Level 0, how companies can advance from Level 0 to Level 1 Salesforce, Level 1, how to advance from Level 1 to Level 2 Salesforce, Level 0, how companies can advance from Level 0 to Level 1 Salesforce, Level 0, how companies can advance from Level 0 to Level 1 Salesforce, Level 1, how to advance from Level 1 to Level 2 Salesforce, Level 3, how to advance from Level 3 to Level 4 Salesforce, Level 4, how to maximize value Salesforce, Level 4, how to maximize value Microsoft, 200: Repeatable, Business strategy Microsoft, 300: Defined, AI strategy and experience Microsoft, 300: Defined, Business strategy Microsoft, 400: Capable, Business strategy Microsoft, 400: Capable, AI strategy and experience NIST AI RMF, MAP 1.4 NIST AI RMF, MAP 3.1 Microsoft, 100: Initial, Organization and culture AAGMM, GD-12 Microsoft, 400: Capable, AI governance and security Microsoft, 500: Efficient, Business strategy Microsoft, 500: Efficient, AI strategy and experience NIST AI RMF, MANAGE 4.2 OWASP, Maturity Level 1 Experimentation without Guardrails, key enterprise action NIST AI RMF, MEASURE 4.3 MCP authorization, Authorization (draft) MCP authorization, Authorization (draft)

## The evidence

| Source | Read | SHA-256 (first 16) |
|---|---|---|
| [status.getvocal.ai/events](https://status.getvocal.ai/events) | 2026-11-10T15:45Z | `8387a684a8749c1b` |
| [tech.eu/2025/11/18/ai-customer-support-agent-startup-getvocal-raises-2](https://tech.eu/2025/11/18/ai-customer-support-agent-startup-getvocal-raises-26m/) | 2026-11-10T07:54Z | `5f2463f96c854e6d` |
| [www.getvocal.ai/about](https://www.getvocal.ai/about) | 2026-11-10T07:54Z | `7acdd924fcc21c13` |
| [www.getvocal.ai/blog/ai-agent-escalation-logic-human-handoff](https://www.getvocal.ai/blog/ai-agent-escalation-logic-human-handoff) | 2026-11-10T15:45Z | `20a40e83c0c18c04` |
| [www.getvocal.ai/blog/eu-ai-act-compliance-customer-service-ai-agents](https://www.getvocal.ai/blog/eu-ai-act-compliance-customer-service-ai-agents) | 2026-11-10T15:45Z | `3f6dcec078de693a` |
| [www.getvocal.ai/blog/getvocal-raises-26-million-series-a-funding](https://www.getvocal.ai/blog/getvocal-raises-26-million-series-a-funding) | 2026-11-10T07:54Z | `1e15a4fda67c39e8` |
| [www.getvocal.ai/control-tower](https://www.getvocal.ai/control-tower) | 2026-11-10T15:45Z | `4b0df640abc62a40` |
| [www.getvocal.ai/customers/glovo](https://www.getvocal.ai/customers/glovo) | 2026-11-10T07:54Z | `13533474bec152b8` |
| [www.getvocal.ai/customers/large-spanish-telecom](https://www.getvocal.ai/customers/large-spanish-telecom) | 2026-11-10T15:45Z | `7395e9c14edfe0e1` |
| [www.getvocal.ai/customers/nicomatic](https://www.getvocal.ai/customers/nicomatic) | 2026-11-10T15:45Z | `caa2019ba39b7e40` |
| [www.getvocal.ai/customers/terrapinn](https://www.getvocal.ai/customers/terrapinn) | 2026-11-10T07:55Z | `c55aeb490b0c81c4` |
| [www.getvocal.ai/customers/vodafone](https://www.getvocal.ai/customers/vodafone) | 2026-11-10T07:55Z | `03da1f13124f56e6` |
| [www.getvocal.ai/enterprise-ai-agents](https://www.getvocal.ai/enterprise-ai-agents) | 2026-11-10T15:45Z | `cd7ed09e9b8276c8` |
| [www.getvocal.ai/llms.txt](https://www.getvocal.ai/llms.txt) | 2026-11-10T15:45Z | `a24b2369870940e0` |
| [www.getvocal.ai/news/equans-france-scales-shared-services-operations-w](https://www.getvocal.ai/news/equans-france-scales-shared-services-operations-with-getvocal-ai-voice-agents) | 2026-11-10T07:55Z | `d17abc182c2181d0` |
| [www.getvocal.ai/privacy-policy](https://www.getvocal.ai/privacy-policy) | 2026-11-10T07:55Z | `4bf851501f7e9413` |
| [www.getvocal.ai/voice](https://www.getvocal.ai/voice) | 2026-11-10T15:45Z | `f5e924a8de49c1d4` |

## How this report was made

A researcher-assessor gathered and captured the sources and mapped the evidence to indicators, without assigning a level. A challenger argued against every level three and four and every doubtful credit. The [deterministic scorer](../../spectrum/pipeline/index.md) computed the levels and the gate checked the rules. A card appears here only after two rounds of review and a sign-off by agents that did not write it (the team's workflow); GetVocal AI agents (Enterprise AI Agents: voice, chat, WhatsApp, email): reviewed in 3 rounds, signed off by gamma.approve@web-summit.dinis on 2026-11-10. A person's sign-off of the series is still to come.

| Role | Who |
|---|---|
| researcher-assessor | a sub-agent of gamma.studio@web-summit.dinis |
| challenger | a sub-agent |
| scorer | build/spectrum.mjs |
| analyst, designer, writer | gamma.studio@web-summit.dinis |
| review | gamma.review@web-summit.dinis, 3 rounds |
| sign-off | gamma.approve@web-summit.dinis, 2026-11-10 |

## The vault

Every capture, the dossier, both assessors' mappings, the challenger's notes and this report's data are in a public sgit vault (`qiamk6dj`). Read key:

sgit_public_read_b46064eedc934cdbb18761e1da1a30140af1ba5f7bc05ed56a8b7e95e45b44d4:qiamk6dj

With [sgit](https://sgit.ai/): `sgit clone` followed by the key. The key reads; it cannot write.

## Corrections

None yet. A correction is made in place, dated here, and carried to the card, the vault and the article.

## The article

[GetVocal AI agents on the GAMMA-Ray Spectrum: A4 · R2 · C1 · O1](article.md), written from this report for PrompTugal.news.
