Teneo

The vendor documents connecting to any business system through a Public API with no fixed connector list, naming customer relationship management, electronic health record, global distribution and contact-center-as-a-service systems, with native integrations into major contact center platforms.

Model Context Protocol is supported for tool access and an agent-to-agent protocol for interoperability with externally built agents, both described as open standards. Real-time data integration is documented as personalizing responses from customer sentiment, location and interaction history. No connector inventory is published, so the split between prebuilt integrations and customer-wired API connections cannot be verified.

Sourceteneo.ai home, ai-agent-platform and platform/orchestration-of-ai-agents pagesread 2026-08-31

The vendor documents unifying LLM orchestration, agent management and enterprise AI in one platform, with a native no-code environment for creating flexible, goal-driven agents that the vendor contrasts with basic intent recognition.

Agents are documented autonomously selecting workflows, breaking down complex tasks, taking actions, escalating, and coordinating with one another, with multi-agent collaboration over an agent-to-agent protocol allowing specialized agents to share context.

The vendor states over seventeen thousand agents are in production, with a named telecommunications customer handling more than nine hundred thousand calls per month. No branching, looping or conditional control-flow primitives are named.

Sourceteneo.ai platform/orchestration-of-ai-agents, platform/agenticai and ai-agent-platform pagesread 2026-08-31

The vendor documents Knowledge AI connecting to proprietary or public databases, document stores and data lakes to ingest, index and query the customer's knowledge base, with Teneo RAG usable against AWS Bedrock, Azure OpenAI, OpenSearch, AI Search and any custom model endpoint. End-to-end visibility, monitoring and control is documented over every retrieval and augmentation step, with enterprise-grade PII security enforced. Generative entity extraction enhances intent understanding, and Adaptive Answers capture sentiment, conversation history, age and location to adapt output.

Sourceteneo.ai platform/teneo-llm-orchestration page, teneo.ai platform/agenticai and orchestration pagesread 2026-08-31

The vendor documents guardrails at scale for accuracy, relevance and safety, protection against prompt injection, validation of every response before it reaches a customer, a deterministic fallback in its TLML language for critical processes, and escalation to human agents for cases needing judgment. Those are runtime constraints and agent-initiated escalation. No approval step in the run path, where a person reviews and approves an agent's action before it executes, is documented.

Sourceteneo.ai platform pages and home pageread 2026-09-29

The vendor's platform pages document enforced enterprise-grade PII security across every retrieval and augmentation step, protection against prompt injection and immutable audit trails. Teneo's marketing elsewhere mentions GDPR, SOC 2, HIPAA and CCPA, role-based access control and a Security Center, but none of them is stated on teneo.ai's product pages, the site has no security, trust or compliance page, and the homepage names no certification. Teneo's trust material, if any, sits at a separate address, trust.teneo.ai.

Sourceteneo.ai platform pages and homepageread 2026-09-29

The vendor documents end-to-end visibility, monitoring and control over every retrieval and augmentation step within the RAG pipeline, and visual real-time insight into which models and goals each agent uses and how flows are triggered. Immutable audit trails are documented alongside tracking of every interaction, with a Security Center described as built into the platform architecture. Trace contents, retention, and export to a customer's own monitoring or SIEM system are not documented.

Sourceteneo.ai platform/teneo-llm-orchestration and platform/orchestration-of-ai-agents pagesread 2026-08-31

The vendor documents Unified Customer Memory retaining preferences, past interactions and historical data across channels to personalize experiences, with cross-channel context retention. Adaptive Answers capture sentiment, conversation history, age and location during an interaction and adapt output accordingly. No capability is documented for an agent to retain what it learned across cases, carry conclusions between unrelated interactions, or update its own behavior from corrections, and no documentation of what memory stores, retention periods or governance was reached.

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The vendor's CTO describes a self-scaling, containerized platform in the Microsoft Azure Cloud that ensures seamless scalability without manual intervention during peak call volumes, which is the vendor's own elastic hosting rather than customer-controlled deployment.

Teneo RAG is documented as usable against AWS Bedrock, Azure OpenAI, OpenSearch and custom endpoints, which is model and retrieval infrastructure choice rather than platform deployment location.

No on-premises installation, deployment into a customer subscription, virtual private cloud option, customer-managed encryption keys or selectable region is documented, and the vendor publishes no deployment or architecture page.

Sourceteneo.ai platform pages, Teneo AI AB LLM Orchestration launch release; news.cision.com/teneo-ai-ab/r/teneo-ai-unveils-groundbreaking-llm-orchestration-solution-for-customer-service-automation,c4045168read 2026-08-31

The vendor documents reusable modular skills, tools and goals from which agents are composed in a low-code AI Agent Builder, with those components updatable centrally and deployed instantly across all running agents. Templates are referenced, but no template library, agent gallery, or named set of prebuilt industry-specific agents is published. The building blocks are defined and reused by the customer rather than supplied ready-made by the vendor.

Sourceteneo.ai ai-agent-platform, platform/agenticai and platform/orchestration-of-ai-agents pagesread 2026-08-31

The vendor documents deploying agents across voice, chat, SMS, WhatsApp, web, social and messaging channels from a single platform, with native contact center integrations into major CCaaS platforms, supporting more than eighty languages.

Vendor-reported figures cite over seventeen thousand agents in production, a named telecommunications customer handling more than nine hundred thousand calls a month, and ninety percent voice call containment. Real-time data integration personalizes responses during an interaction. No scheduled or event-driven invocation independent of an inbound customer contact is documented.

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The vendor's LLM Orchestration launch states businesses can switch between any generative AI or large language model, naming GPT-4o, Claude 3, LLaMA 3.1, Falcon 180B, PaLM 2, Stable LM 2, Gemini Ultra 1.0 and Mixtral, with the CTO describing seamless switching between models while maintaining performance and cost efficiency.

The platform page documents Teneo RAG running against AWS Bedrock, Azure OpenAI, OpenSearch, AI Search and any custom model endpoint. Model selection is documented as operating per step of an interaction with routing by complexity, and the vendor states model choices can be changed or validated without code changes or downtime. Claimed cost reductions of up to 98 percent and the FrugalGPT lineage are vendor marketing figures.

Sourceteneo.ai platform/teneo-llm-orchestration and platform/orchestration-of-ai-agents pages, Teneo AI AB LLM Orchestration launch release; news.cision.com/teneo-ai-ab/r/teneo-ai-unveils-groundbreaking-llm-orchestration-solution-for-customer-service-automation,c4045168read 2026-08-31

The vendor documents a Public API through which any business system with an API connects to Teneo in days with no approved connector list, Model Context Protocol support and an agent-to-agent protocol on open standards, with development across a low-code AI Agent Builder and pro-code TLML. The API reference sits in a developer portal at developers.teneo.ai behind a sign-in, so the API and its access path are named but its shape is not shown publicly.

Sourceteneo.ai home and platform pages, developers.teneo.airead 2026-09-29

The vendor documents built-in real-time testing within the AI Agent Builder, a full build, test, deploy, analyze and optimize lifecycle with version control, and the ability to change or validate model choices with no code changes and no downtime.

Vendor-reported accuracy figures cite ninety-nine percent intent accuracy and ninety-five to one hundred percent service precision, which are marketing statistics rather than a customer-operated measurement surface.

No test suite, scoring, pass rate, judge verdict, simulation or documented comparison of one agent or model configuration against another is published.

Sourceteneo.ai platform/agenticai, ai-agent-platform and platform/teneo-llm-orchestration pagesread 2026-08-31

The vendor documents agents operating across conversational voice and digital channels including voice, chat, SMS, WhatsApp, web and social, acting on business systems through a Public API with Model Context Protocol and an agent-to-agent protocol, and retrieving through Knowledge AI against databases, document stores and data lakes. All are programmatic interfaces. No browser control, navigation, form filling, screen interaction, desktop automation or interface-level operation of third-party software is documented, and the vendor makes no such claim.

Sourceteneo.ai home, ai-agent-platform, platform/agenticai and platform/teneo-llm-orchestration pagesread 2026-08-31