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GAMMA-Rayv0.0.155 · beta

GetVocal AI

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.

1solution carded
of 5 found
17sources captured
and hashed
71provisions lit
in 8 of 8 instruments
6examples 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; 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 agentsa product, as documented
SPECTRUM 0.2 BETA · Public tier · 2026-11-10
A4AutonomyOrchestrateswith options on · as shipped not yet evidenced
π Moderate · S1·R5·A1 ×3
R2ReachIntegrated
π Moderate · S1·R5·A1 ×3
C1ControlStatedwith options on · as shipped not yet evidenced
π Moderate · S1·R5·A1 ×3
O1OpennessDisclosed
π Moderate · S1·R5·A1 ×3
DraftStage: Building (8 of 16)In production

Standout. Autonomy 4 (Orchestrates): "Agents handle voice and chat across your existing stack (CRM, CCaaS, telephony, helpdesk)"

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.

SalesforceEAAMMOWASPMCPAAGMMMicrosoftNISTAI 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 · the governance layer

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:

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 (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 (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 (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 (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 (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 (captured 2026-11-10T15:45Z, sha256 caa2019ba39b7e40)

The company

The people

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

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 storiescompanysolutions9 sources20 indicators71 provisions, by instrumentI03: 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 AIRoy MoussaAntonin BertinFlorian AubanKhue LeRabie el HassaniAna BantaEquans FranceVodafoneGlovoA large Spanish telecom operator (unnamed)TerrapinnNicomaticGetVocal AI agents (Enterprise AI Agents: voice, chat, WhatsApp, email)GetVocal AI agentsA4 · R2 · C1 · O1Agent Control TowerAgent Control TowerAgent Builder / Studio (and GetVocal Assist copilot)Agent BuilderHybrid Workplace Platform / Agent Control CenterAgent Control CenterContextGraphOSContextGraphOSgetvocal.ai/llms.txtgetvocal.ai/voicegetvocal.ai/blog/ai-agent-escalat…getvocal.ai/control-towergetvocal.ai/blog/eu-ai-act-compli…status.getvocal.ai/eventsgetvocal.ai/customers/large-spani…getvocal.ai/enterprise-ai-agentsgetvocal.ai/customers/nicomaticIt is configured on a low-code or no-code builder and acts on real organisational dataI03It executes actions itselfI08It works across several domains or systemsI10It connects to external tools or services across a trust boundaryI11The agent handles routine tasks; the person is consulted on exceptionsI17The agent works independently; the person approves critical decisions onlyI18Its purpose and permitted tasks are stated in writingI20Its autonomy limits and the tools it may use are definedI21The laws that apply to it are identifiedI36High-impact actions need a person's approvalI38There is a defined escalation pathI40Its actions are loggedI41Policy is enforced as machine-readable rulesI48Incidents and errors are communicated to those affectedI54It tells the people it talks to that it is an AII56The data it uses is describedI58Its value is measuredI67It is improved on a regular cycleI68It is in production: a public source names a customer or gives usage figures for what it does on its ownS1It is machine-readable for agents: it publishes an llms.txt, an AGENTS.md, an API description or an agent cardS3Salesforce 14EAAMM 4OWASP 10MCP authorization 2AAGMM 5Microsoft 15NIST AI RMF 15EU AI Act 6OWASP, AT3 Citizen Developer AgentSalesforce, Level 2: Simple Orchestration, Single DomainSalesforce, Level 1, how to advance from Level 1 to Level 2Microsoft, 200: Repeatable, Business strategySalesforce, Level 3: Complex Orchestration, Multiple DomainSalesforce, Level 2, how to advance from Level 2 to Level 3Salesforce, Level 3, how to advance from Level 3 to Level 4Microsoft, 400: Capable, Business strategyMicrosoft, 200: Repeatable, Technology and dataOWASP, AT6 Externally Extended AgentNIST AI RMF, GOVERN 6.1NIST AI RMF, MAP 4.1EAAMM, L3 Consultative (survey item Q9)EAAMM, L4 Supervisory (survey item Q9)NIST AI RMF, MAP 1.1NIST AI RMF, MAP 2.1NIST AI RMF, MAP 3.3NIST AI RMF, MAP 1.3EU AI Act, Article 13OWASP, Maturity Level 1 Experimentation without Guardrails, key enterprise actionNIST AI RMF, MAP 2.2Microsoft, 300: Defined, Business strategyNIST AI RMF, GOVERN 1.1OWASP, Maturity Level 4 Adaptive, Self-Regulating Governance, key enterprise actionMicrosoft, 100: Initial, AI governance and securityOWASP, Maturity Level 2 Policy-Defined, Human-in-the-Loop, key enterprise actionEU AI Act, Article 14AAGMM, GD-06NIST AI RMF, MAP 3.5Salesforce, Level 3, how to advance from Level 3 to Level 4EAAMM, Prerequisite, L2 to L3NIST AI RMF, GOVERN 3.2OWASP, Maturity Level 0 Unaware and Ad Hoc, key enterprise actionOWASP, Maturity Level 1 Experimentation without Guardrails, key enterprise actionEU AI Act, Article 12AAGMM, GD-03AAGMM, GD-08OWASP, Maturity Level 3 Integrated, Continuous Oversight, key enterprise actionOWASP, Maturity Level 4 Adaptive, Self-Regulating Governance, key enterprise actionMicrosoft, 500: Efficient, AI governance and securityNIST AI RMF, MANAGE 4.3EU AI Act, Article 73EU AI Act, Article 26EU AI Act, Article 50AAGMM, GD-05EAAMM, Readiness dimension 2Salesforce, Level 0, how companies can advance from Level 0 to Level 1Salesforce, Level 1, how to advance from Level 1 to Level 2Salesforce, Level 0, how companies can advance from Level 0 to Level 1Salesforce, Level 0, how companies can advance from Level 0 to Level 1Salesforce, Level 1, how to advance from Level 1 to Level 2Salesforce, Level 3, how to advance from Level 3 to Level 4Salesforce, Level 4, how to maximize valueSalesforce, Level 4, how to maximize valueMicrosoft, 200: Repeatable, Business strategyMicrosoft, 300: Defined, AI strategy and experienceMicrosoft, 300: Defined, Business strategyMicrosoft, 400: Capable, Business strategyMicrosoft, 400: Capable, AI strategy and experienceNIST AI RMF, MAP 1.4NIST AI RMF, MAP 3.1Microsoft, 100: Initial, Organization and cultureAAGMM, GD-12Microsoft, 400: Capable, AI governance and securityMicrosoft, 500: Efficient, Business strategyMicrosoft, 500: Efficient, AI strategy and experienceNIST AI RMF, MANAGE 4.2OWASP, Maturity Level 1 Experimentation without Guardrails, key enterprise actionNIST AI RMF, MEASURE 4.3MCP authorization, Authorization (draft)MCP authorization, Authorization (draft)

The evidence

SourceReadSHA-256 (first 16)
status.getvocal.ai/events2026-11-10T15:45Z8387a684a8749c1b
tech.eu/2025/11/18/ai-customer-support-agent-startup-getvocal-raises-22026-11-10T07:54Z5f2463f96c854e6d
www.getvocal.ai/about2026-11-10T07:54Z7acdd924fcc21c13
www.getvocal.ai/blog/ai-agent-escalation-logic-human-handoff2026-11-10T15:45Z20a40e83c0c18c04
www.getvocal.ai/blog/eu-ai-act-compliance-customer-service-ai-agents2026-11-10T15:45Z3f6dcec078de693a
www.getvocal.ai/blog/getvocal-raises-26-million-series-a-funding2026-11-10T07:54Z1e15a4fda67c39e8
www.getvocal.ai/control-tower2026-11-10T15:45Z4b0df640abc62a40
www.getvocal.ai/customers/glovo2026-11-10T07:54Z13533474bec152b8
www.getvocal.ai/customers/large-spanish-telecom2026-11-10T15:45Z7395e9c14edfe0e1
www.getvocal.ai/customers/nicomatic2026-11-10T15:45Zcaa2019ba39b7e40
www.getvocal.ai/customers/terrapinn2026-11-10T07:55Zc55aeb490b0c81c4
www.getvocal.ai/customers/vodafone2026-11-10T07:55Z03da1f13124f56e6
www.getvocal.ai/enterprise-ai-agents2026-11-10T15:45Zcd7ed09e9b8276c8
www.getvocal.ai/llms.txt2026-11-10T15:45Za24b2369870940e0
www.getvocal.ai/news/equans-france-scales-shared-services-operations-w2026-11-10T07:55Zd17abc182c2181d0
www.getvocal.ai/privacy-policy2026-11-10T07:55Z4bf851501f7e9413
www.getvocal.ai/voice2026-11-10T15:45Zf5e924a8de49c1d4

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 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.

RoleWho
researcher-assessora sub-agent of gamma.studio@web-summit.dinis
challengera sub-agent
scorerbuild/spectrum.mjs
analyst, designer, writergamma.studio@web-summit.dinis
reviewgamma.review@web-summit.dinis, 3 rounds
sign-offgamma.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: 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, written from this report for PrompTugal.news.