AgentenCode evidence profileFinance
✓ Editorially reviewedChecked: September 30, 2026
Agent profile · Finance
Rogo AI Analyst
Rogo builds finance-specific AI agents for research, analysis and recurring monitoring. This page uses the same underlying evidence and trust records as the German profile.
Source update (2026-10-08): Current primary source: Rogo documents its Agent Library, Agent Builder and Proactive Agents for financial workflows. Non-product design-system links have been replaced, and the classification is Finance. Existing trust claims have not been reverified. Official primary source ↗
Financeeditorial classification
Rogoprovider
3 primary sourcessource status
September 30, 2026last verification
AgentenTrust 2.0 · EU & governance evidence
Trust, privacy and control evidence for Rogo AI Analyst
Direct answer: AgentenCode currently documents 4 of 36 normalized trust controls for this profile. Missing fields remain Unknown and are never automatically interpreted as “no”.
EU AI ActEvidence context only. AgentenCode does not infer legal applicability or compliance from individual product controls.
GDPRPrivacy and security signals are documented field by field. Data residency alone is not a compliance or transfer assessment.
Important: these numbers show evidence coverage, not a product rating. 0 of 10 means that no field-level public evidence is stored for those ten controls in the current dataset. It does not mean the product lacks those capabilities.
Field-level evidence
Documented controls and values from primary sources.
Documented yesDocumented valueUnknown remains unknown
High confidence
Yes — documentedGovernance · Audit logs · Available
Rogo documents audit logging as a product security control.
Scope: rogo_platform_ai_analyst · verified 2026-10-01 · Primary source ↗High confidence
Yes — documentedSecurity · Encryption · At rest
Rogo documents encryption at rest.
Scope: rogo_platform_ai_analyst · verified 2026-10-01 · Primary source ↗High confidence
Yes — documentedSecurity · Encryption · In transit
Rogo documents encryption in transit.
Scope: rogo_platform_ai_analyst · verified 2026-10-01 · Primary source ↗High confidence
Yes — documentedSecurity · Soc2 Type2
Rogo documents SOC 2 Type 2 compliance for the platform providing its AI Analyst.
Scope: rogo_platform_ai_analyst · verified 2026-10-01 · Primary source ↗Evidence-backed overview
What is Rogo AI Analyst?
Rogo AI Analyst is classified by AgentenCode as a financial services ai analyst from Rogo. It belongs to the Finance & Accounting category. This English profile does not maintain a separate factual record: it renders the same underlying evidence, trust and history data as the German profile.
Product-specific evidence for Rogo AI Analyst
This profile links 3 unique primary sources across the product profile, field-level evidence, trust controls and documented relations. The points below describe this product’s stored evidence rather than generic characteristics of Legal & Professional Services.
Verschlüsselung in transit
Yes · Scope: rogo_platform_ai_analyst · verified 2026-10-01.
Primary source ↗AgentenCode treats this page as a reference profile rather than a ranking. Product facts are separated from editorial classification, and the profile is tied to a specific verification date. If a capability is not backed by sufficiently precise public evidence, it remains unknown instead of being inferred from marketing language or from similar products.
2primary sources
4field-level evidence claims
4documented trust controls
1history events
How to read the evidence
The field-level evidence layer records a value, a scope, a confidence level, a verification date and one or more primary sources. Scope matters: an enterprise-only security feature must not be generalized to every plan or deployment surface. The same rule applies to hosting, privacy, audit and protocol claims.
AgentenCode also keeps Unknown distinct from false. A missing claim means the public dataset does not currently contain sufficiently precise evidence for that field. A negative value is used only when a reliable primary source explicitly documents a restriction or non-availability.
Decision context
Provider and category
Rogo AI Analyst is documented under Finance and is associated with Rogo. Category labels help navigation but do not replace product-specific evidence.
Verification status
The public profile is marked editorially reviewed and was last checked on September 30, 2026.
Trust coverage
4 of 36 normalized trust controls currently have field-level public evidence. The remaining controls are not treated as negative findings.
Source-first use
For procurement, security or legal decisions, use the linked primary sources and verify the plan, region and configuration that apply to your organization.
Capabilities, strengths and deployment checks for Rogo AI Analyst
Rogo AI Analyst is classified as Financial Services AI Analyst from Rogo. The profile’s editorial layer is derived from the stored use cases, strengths and checks below; claims about security, privacy or governance remain separate and require field-level evidence.
Finanzrecherche
This use case is part of the stored profile for Rogo AI Analyst. The related strength is “Spezialisierung auf Financial Services”. In a production evaluation, the practical boundary to verify is: Finanzielle Entscheidungen nicht allein auf Agentenausgaben stützen.
Modellierungsunterstützung
This use case is part of the stored profile for Rogo AI Analyst. The related strength is “Research plus Workflow-Automation”. In a production evaluation, the practical boundary to verify is: Marktdaten und Modellannahmen separat verifizieren.
Investment- und Marktanalysen
This use case is part of the stored profile for Rogo AI Analyst. The related strength is “Professioneller Daten- und Dokumentkontext”. In a production evaluation, the practical boundary to verify is: Vertrauliche Deal- und Kundendaten nach Richtlinien behandeln.
Berichte und Präsentationen
This use case is part of the stored profile for Rogo AI Analyst. The related strength is “Auf Analystenarbeit ausgerichtet”. In a production evaluation, the practical boundary to verify is: Finanzielle Entscheidungen nicht allein auf Agentenausgaben stützen.
What to verify before adoption
- Finanzielle Entscheidungen nicht allein auf Agentenausgaben stützen. Treat undocumented controls as Unknown and verify the exact plan, region and deployment scope.
- Marktdaten und Modellannahmen separat verifizieren. Treat undocumented controls as Unknown and verify the exact plan, region and deployment scope.
- Vertrauliche Deal- und Kundendaten nach Richtlinien behandeln. Treat undocumented controls as Unknown and verify the exact plan, region and deployment scope.
Editorial boundary: The use-case and strength descriptions are product-specific editorial context based on the stored profile. Trust, privacy and governance statements are only presented as facts when field-level primary-source evidence exists.
Verified history
The public history layer records only confirmed profile changes and verification events. Monitoring signals are not published as product facts until they have been reviewed.
- September 30, 2026 · New profile
Official sources
This profile links 3 unique primary sources across the product profile, field-level evidence, trust layer and documented relations. Provider documentation remains authoritative when the product changes between verification cycles.
Frequently asked questions
What is Rogo AI Analyst?
Rogo AI Analyst is listed by AgentenCode as a legal agent or agentic product from Rogo.
How much trust evidence is documented for Rogo AI Analyst?
The current trust layer documents 4 of 36 normalized controls. Missing controls remain unknown rather than being treated as false.
When was this profile last checked?
The current profile verification date is September 30, 2026. The linked primary sources remain authoritative if the product changes between checks.
Method note: AgentenCode does not certify GDPR or EU AI Act compliance. It documents evidence that can support a separate legal, security or procurement assessment.