Automaise (Automaise S.A.)

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

Automaise sells a set of three AI agents for customer service teams: a voice and chat assistant, a copilot for human agents, and back-office workflow automation.

Built only from Automaise (Automaise S.A.)'s own public pages and, for company basics only, the news sources named beside each fact. Automaise (Automaise S.A.) has not seen this report. Nothing was tested and no credentials were used. If you are Automaise (Automaise S.A.) 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.

Conversational AI

Voice and chat assistant (inbound and outbound voice, customer self-service chat, internal helpdesk chat) that answers customers and completes transactions such as data changes, payments and orders.

The full card, every answer and its evidence · the governance layer

AI Workflows

Back-office automation of multi-step processes (data changes, payments, claims) across CRM, ERP and APIs, with a no-code workflow builder. No card yet (generally available (anonymised customer stories)): this solution has not been assessed.

Agent Assist

Copilot for human agents that follows live voice and chat interactions and puts suggested answers and next steps on the agent's screen. No card yet (generally available (named customer stories)): this solution has not been assessed.

Our reading

The shape. Automaise Conversational AI reads A3 · R2 · C– · O1 (Building). It is a voice and chat assistant for customer service, one of three Automaise agents beside a copilot for human agents and back-office workflows. The product page says data changes, payments, orders and subscriptions are completed end to end by the AI, and its FAQ says a conversation that needs human intervention passes to an available agent with its context.

Where the evidence is strongest. Named customers show the assistant acting. CTT uses it to resolve account access issues itself, such as password recovery and unblocking accounts, and its page gives 93% as the automation rate of all webchat interactions. Leroy Merlin customers manage orders and schedule deliveries through it, and Caravela Seguros policyholders use it for service requests. The figures are Automaise's own, from its customer pages.

Options and caveats. Reach 2 holds as shipped because the assistant works on third-party channels such as WhatsApp and social media. A connection to a customer's own CRM, contact-centre or messaging platform is built per deployment, so that part is an option and the level does not depend on it. The data the service processes is described in the general terms, which still use the older Virtual Employee wording.

What would move it. Autonomy 4: a page saying the assistant works on its own and a person approves only critical decisions. Reach 3: a published agent interface with documented authorisation narrower than the whole account. Control 1: a public page with a rule in prose on the assistant itself, such as how people approve, override or stop it; Control is not yet evidenced. Openness 2: a page on the assistant's limits and known failure cases, beside the purpose and data already described.

Seen, and not counted. The general terms forbid certain uses, but that clause binds the customer, not the agent, so it does not count for Control. ISO/IEC 27001 and SOC 2 Type 2 are listed on the trust centre, with no certificate or audit report published. Homepage claims of improvements within 30 to 60 days are listed as announced.

What would move it

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

• Conversational AI: Control 1 (Stated). Public evidence that a limit on it is a rule in prose.

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.

CTT (ViaCTT)

Conversational AI chat assistant that resolves account access issues (password recovery, account unblocking, new passwords); 93% automation rate of webchat interactions. "able to manage and autonomously solve account access related issues"

Source (captured 2026-11-10T17:48Z, sha256 eb0467745f882199)

Leroy Merlin

Conversational AI chat assistant integrated with the CRM; customers can manage orders and a cart and schedule delivery and service requests. "manage orders and a live shopping cart; schedule delivery and service requests"

Source (captured 2026-11-10T10:44Z, sha256 adb08c911499a8c1)

Novobanco

Conversational AI internal helpdesk assistant that triages, tags and closes support tickets; 32% deflection within 3 weeks. "autonomously, close a wide range of support tickets."

Source (captured 2026-11-10T10:44Z, sha256 83644305b867db6b)

Caravela Seguros

Conversational AI assistant for policyholders that executes service requests; 84% self-service rate. "but also to execute advanced service requests."

Source (captured 2026-11-10T10:44Z, sha256 f480b5ae7389c158)

MC Sonae (Continente)

Agent Assist ticket workflow in Salesforce that classifies, routes and closes tickets; 35% closed without human intervention. "classify, distribute, prioritize and close a wide range of diverse tickets."

Source (captured 2026-11-10T10:44Z, sha256 0e36b563dac45705)

Large health insurance provider (unnamed)

AI Workflows automation of medical claim approvals; 58% of claims fully automated. "58% of medical claims fully automated"

Source (captured 2026-11-10T10:44Z, sha256 bff206fe80f5c5e7)

The company

• Founded in 2017 by Ernesto Pedrosa and Carlos Oliveira (investor note). "Since its founding in 2017 by Ernesto Pedrosa and Carlos Oliveira" Source (captured 2026-11-10T10:44Z, sha256 33db7f89240c3fe4)
• Headquartered in Braga, Portugal (investor note). "Founded in 2017 and headquartered in Braga (Portugal)" Source (captured 2026-11-10T10:44Z, sha256 33db7f89240c3fe4)
• Raised a EUR 5 million Series A in March 2025, led by Oxy Capital. "a significant boost with a €5 million Series A funding round" Source (captured 2026-11-10T10:44Z, sha256 33db7f89240c3fe4)
• The company describes three agents built to work together. "Three AI Agents. One ecosystem. Built to work together." Source (captured 2026-11-10T10:44Z, sha256 f33d8240d602c557)
• The about page lists offices in Braga, Lisbon, Madrid and Barcelona. "Braga, Portugal Lisbon Madrid Barcelona" Source (captured 2026-11-10T10:44Z, sha256 7a99e43600337706)
• The trust centre lists ISO/IEC 27001 and SOC2 Type 2. "ISO/IEC 27001 SOC2 Type 2" Source (captured 2026-11-10T10:44Z, sha256 96dca86d7ead2dec)
• The trust centre says Automaise acts as a data processor for its customers. "Automaise processes data on behalf of its customers, acting as a data processor." Source (captured 2026-11-10T10:44Z, sha256 96dca86d7ead2dec)
• Automaise S.A. was a beneficiary of the Center for Responsible AI agenda (PRR), with a stated investment of EUR 2,628,142. "ENTIDADE BENEFICIÁRIA | AUTOMAISE SA" Source (captured 2026-11-10T10:44Z, sha256 6e7ee4335c8d31e6)
• In 2023 Automaise announced its own customer-service LLM, Quokka, hosted on its own servers. "With our Large Language Model hosted on our own servers" Source (captured 2026-11-10T10:44Z, sha256 b3ae950caa1cb943)
• Jornal Economico (1 July 2026) reports a Portugal 2030-backed project, the Automaise Sustainable AI Platform. "está a desenvolver o projeto “Automaise Sustainable AI Platform”" Source (captured 2026-11-10T10:44Z, sha256 88d8dae0fb3b0b5a)

The people

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

• Ernesto Pedrosa, Co-founder and CEO. Source
• Carlos Oliveira, Co-founder. Source
• Fábio Pinto, Head of AI (as named in a July 2023 company blog post). 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".

The evidence

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); Conversational AI: 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.

The vault

Every capture, the dossier, both assessors' mappings, the challenger's notes and this report's data are in a public sgit vault (gn938lnr). Read key:

sgit_public_read_ac0df2472fde834f3552fd90441fa936ba011f083701d052d32d69a8b44ef30d:gn938lnr

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

Automaise Conversational AI on the GAMMA-Ray Spectrum: A3 · R2 · C– · O1, written from this report for PrompTugal.news.