Unit21 vs Vivox AI (2026)

More than thirty named systems connect across eleven categories. They include core banking (Fiserv DNA, Finxact and Premier, Jack Henry SilverLake and Symitar, Corelation), digital banking (Alkami, Q2, Finastra, NCR), banking as a service (Unit, Treasury Prime), data warehouses (Snowflake, BigQuery, Databricks, Aurora), KYC and KYB providers, watchlists, crypto analytics, device intelligence and check images. Salesforce and Zendesk sync case records and investigation outcomes in both directions, and a proprietary ingestion layer is described as integrating with any tool.

SourceUnit21, unit21.ai/integrationsread 2026-09-06

Integration is read side enrichment only. Agents access and analyze corporate registry data across 150 plus jurisdictions, scan 100 plus global sources in real time, and integrate with leading data providers to resolve screening alerts. Integrated registry and screening infrastructure was one of the components delivered in the TransferMate rollout. Vivox AI names no data provider, registry, case management system or core banking platform. It does not say the agent writes a decision back into a customer system or takes an authenticated action outside its own dashboard.

SourceVivox AI, vivox.ai homepage and transfermate rollout postread 2026-09-07

Agents run the financial crime lifecycle end to end, from alert triage and evidence gathering through case investigation and entity network expansion, narrative drafting and filing preparation, QA checks against SOP steps and detection improvement. They investigate step by step and take or recommend the workflow action. A task builder lets a team define new agent tasks and workflows configured to its own escalation rules.

SourceUnit21, unit21.ai/products/ai-agentread 2026-09-06

The agents break business verification into atomic, traceable steps that mirror how an analyst works, and generate complete CDD reports end to end, as in the TransferMate deployment. Automated KYB and KYC reviews run from onboarding workflows through risk assessment across multiple data sources, with eight named agent functions composed into one case. Vivox AI names no runtime and no BPMN, and customers get no surface for authoring workflows. The pipeline is fixed by Vivox AI, and customers cannot edit it.

SourceVivox AI, vivox.ai TransferMate case study and homepageread 2026-09-07

The agents pick up alerts raised by the platform's real time detection and transaction monitoring, which they ingest for triage, and data arriving through the ingestion integrations from core banking, payment and warehouse systems. Unit21 describes an alert entering, being investigated and reaching a filing in one environment. There is no schedule or webhook the customer configures.

SourceUnit21, unit21.ai/products/ai-agent and unit21.ai/integrationsread 2026-09-06

Agents pick up work in three ways. An onboarding case arrives for KYB or KYC review, a screening alert needs resolving, or the Ongoing Monitoring function, running 24/7 with real time scanning of 100 plus sources, picks something up. Periodic reviews also start work. Vivox AI names no configurable trigger surface, schedule the customer sets, webhook or inbound queue, and it does not say how a case or alert enters the system.

SourceVivox AI, vivox.ai homepageread 2026-09-07

Agents investigate over the platform's own data model. They expand entity networks during case investigation, query the alert's own data through the Data Analysis task, and draw on transaction, customer and case history ingested into the platform from core banking, warehouse and KYC systems, a store that persists across alerts and can be queried.

SourceUnit21, unit21.ai/products/ai-agent and unit21.ai/integrationsread 2026-09-06

The agents ground each case in external sources gathered for that case. They draw on corporate registries across 150 plus jurisdictions, sanctions and PEP lists through leading data providers, multi language real time scanning of 100 plus global sources for adverse media, and incorporation and UBO documents supplied for the case. Context is assembled fresh for each case. Vivox AI names no maintained index, graph or embeddings layer over the customer's own knowledge, policies or procedures that persists between cases and stays queryable.

SourceVivox AI, vivox.ai homepageread 2026-09-07

Unit21 says dispositions and feedback improve future detection and decisioning over time, which is learning absorbed into its models, not a memory, and the entity networks and case records the agents work over are the platform's data model. There is no agent memory and no conversational session state.

SourceUnit21, unit21.ai/products/ai-agentread 2026-09-06

There is no named memory layer or chat interface with session memory, and Vivox AI gives no scope or lifetime for one. The agents are self learning and improve through analyst feedback, which is absorbed into the model. Case and periodic review state is the application's own compliance record. Vivox AI does not say where memory lives or how to delete it for one customer.

SourceVivox AI, vivox.ai homepage and case studyread 2026-09-07

The agents keep a human in the loop by default. Each agent run recommends a close or escalation, or takes the workflow action directly within the guardrails the customer configures. The customer sets when a human must review or approve and configures approval gates, narratives are drafted ready for QA and approval, and every task builder run is approved by a human.

SourceUnit21, unit21.ai/products/ai-agentread 2026-09-06

Human in the loop controls for operational oversight were one of three components delivered in the TransferMate rollout, alongside the agents and the registry infrastructure. Every step the agents take is explainable and fully documented, so TransferMate's compliance team kept full oversight. Analysts approve agent outcomes, and the AI approval rate on those outcomes rose from 60 to 85 percent. The dashboard has an approval screen, but Vivox AI does not describe in words where the analyst approves. Supervised feedback from analysts works as a learning loop that improves the agents.

SourceVivox AI, vivox.ai TransferMate rollout post and case studyread 2026-09-07

Unit21 holds SOC 2 Type I and Type II, attested by Armanino, with penetration tests by Doyensec and Cobalt, and states GDPR and CCPA compliance. The access controls it describes are its own, with Auth0 for authentication, MFA required for staff to reach production and logging of staff access to customer data. It does not say how a customer's own users are identified, provisioned or given roles.

SourceUnit21, unit21.ai/security and unit21.ai/products/ai-agentread 2026-09-06

Governance is aligned with FCA requirements, the EU AI Act and global standards, with full audit trails. The regulator logos Vivox AI displays are its customers' regulators, not certifications it holds. Vivox AI names no SOC 2, ISO certificate or trust center, and no SSO, SAML, SCIM, roles or permissions. Its terms and privacy policy sit on a Termly policy viewer.

SourceVivox AI, vivox.ai homepage, resources, case study, rollout post and subdomain proberead 2026-09-07

Every agent run produces a transparent work log, a trace of every step taken, data accessed, checks performed and assumptions made. The rationale for each recommendation is tied to evidence and policy logic, with a full audit trail of the who, what and why, and the platform traces runs after deployment.

SourceUnit21, unit21.ai/products/ai-agentread 2026-09-06

Agents break verification into atomic, traceable steps, and every decision is logged and auditable, with every step explainable and fully documented. Explainable AI with full audit trails and explainable decisions sits at the center of the product's design. A record of each step the agent took, plus an explanation of each decision, lets a team reconstruct why an outcome happened, not just see that it did. The logs are Vivox AI's own and do not depend on the customer's systems. One customer says outputs were validated during clients' external audits.

SourceVivox AI, vivox.ai TransferMate case study and homepageread 2026-09-07

Unit21 encrypts backups and segments its network but names no hosting provider, region or customer environment option, and its documentation is password protected. It does not say where customer data is hosted or whether a region can be chosen.

Sourceunit21.ai/securityread 2026-09-06

No hosting region is published, and Vivox AI names no option to run in the customer's environment or to choose a region. Its customers operate across Europe, the US and APAC, and it serves customers in more than 100 countries, but Vivox AI does not say where their data is held. The privacy policy and terms sit on a Termly policy viewer.

SourceVivox AI, vivox.ai homepage, rollout post and Termly privacy policy attemptread 2026-09-07

The products are modules of one platform (transaction monitoring, case management, payment and sanction screening, customer risk rating, regulatory filings), and the Agentic Task Builder lets a team build its own agent tasks in plain English. The agents are configured to each program's SOPs and thresholds, not chosen from a catalog, and Unit21 mentions templates for agent tasks without publishing a catalog.

SourceUnit21, unit21.ai/products/ai-agentread 2026-09-06

Pre trained AI agents work under the Rachel workforce name in eight named functions. They are Adverse Media Monitoring, Sanctions and PEP Alert Reviews, AI Website Analysis, Corporate Registry Data Analysis, Ongoing Monitoring, Incorporation and UBO Docs Analysis, Narrative Report Writing, and Request for Information.

Each unit stands on its own, so sanctions alert review still does its whole Level 1 job without adverse media monitoring. Customers have adopted units alone. Osome uses adverse media screening, TELF adverse media due diligence, and TransferMate KYB and EDD. Vivox AI also presents the list as customized skills of one AI compliance analyst persona. There is no catalog page, and Vivox AI does not say whether each unit is licensed separately.

SourceVivox AI, vivox.ai homepage and case studies indexread 2026-09-07

Customer data is never used to train Unit21's agents. Unit21 refers to its models without naming a provider, and there is no model selection for customers or admins and no routing across providers.

SourceUnit21, unit21.ai/products/ai-agentread 2026-09-06

The models are Vivox AI's own, described in a customer testimonial as precision driven atomic AI models fine tuned by expert humans in the loop. No model provider is named, and customers and admins get no choice of model. Vivox AI alone chooses.

SourceVivox AI, vivox.ai homepageread 2026-09-07

There is a developer documentation portal at docs.unit21.ai, but it is password protected with no public tier. No API, SDK or MCP server is named for an outside caller to drive the platform. Unit21's proprietary data ingestion and its two way syncing with Salesforce and Zendesk move data in and out but do not let a caller drive the agents.

SourceUnit21, unit21.ai/integrations and unit21.ai/products/ai-agentread 2026-09-06

No developer portal, API reference, SDK, MCP server or agent card is published. The agents connect out to data sources, but developers get no interface to build on. The Vivox Core SDK on docs.unity.com is a different product, Unity's gaming voice and text chat, and has nothing to do with this company.

SourceVivox AI, vivox.ai homepage and footer plus developer proberead 2026-09-07

Unit21 answers model risk with evaluation before deployment and tracing after it. In the task builder a team tests a new agent task against a real alert and sees the actual output before saving it, detection improvements are recommended from outcomes with validation, and implementation validates a workflow in parallel before expanding it.

Every agent is backtested against historical alerts already reviewed by experts before it touches a live queue, accuracy is measured against a golden set of alerts the customer's best analysts have already dispositioned, and once live a team can sample agreement and disagreement cases at random.

SourceUnit21, unit21.ai/products/ai-agentread 2026-09-06

Quality is measured on live operations. During the TransferMate deployment, AI approval rates rose from 60 to 85 percent through a structured feedback loop in which analysts working directly with the agents improved decision quality. Vivox AI names no test harness, scored test cases, release gate or controlled post deployment experiment. The customer quote that outputs were validated during clients' external audits concerns the customer's audit of its own compliance program, not a test of the agent.

SourceVivox AI, vivox.ai TransferMate case study and rollout postread 2026-09-07

The Agentic Task Builder's Online Search task runs the external research a team describes, for example checking an entity and connected businesses for adverse media or sanctions exposure, at run time against live alerts, and returns a verdict with sources. Unit21 does not say how the search runs, and there is no browser, desktop or computer control.

SourceUnit21, unit21.ai/products/ai-agentread 2026-09-06

AI Website Analysis, one of the eight agent functions, reads the subject business's own website at case time as part of a KYB review. The page is fetched at run time while the work is done, not crawled into an index, and Vivox AI does not say whether the fetch is headless or a scrape. The multi language real time scanning of 100 plus global sources for adverse media is monitoring, not browsing. Vivox AI names no hosted or local browser, desktop session or remote computer control.

SourceVivox AI, vivox.ai homepageread 2026-09-07