ITT ARIV Platform

Traditional RAG-based systems are built for retrieval, but they collapse the moment AI is expected to act. ITT ARIV shifts the focus to orchestration, using specialized agent personas with narrow responsibilities and clear output contracts to handle complex, non-linear enterprise tasks.

Reliability is engineered into the system through native observability that makes every agent action explainable. 

We track prompts, retrieval paths, tool calls, and decisions so failures are diagnosable, not mysterious. 

Automated pipelines continuously score agent outputs for accuracy, consistency, and regression. 

An immutable log of every reasoning step provides the transparency  required  for legal and regulatory compliance. 

Instead of relying on one general-purpose model, ITT ARIV utilizes a multi-agent architecture where functions are decomposed into a digital workforce.

Coordinates the flow of work between specialized agents. 

Agents collaborate through a shared work state and communicate using structured JSON schemas to prevent loss of fidelity. 

The “Plug-and-Play” design allows you to swap LLM backends without rewriting core business logic. 

The ITT ARIV Privacy Shield ensures a zero-exfiltration posture for all AI operations

Data stays in your environment – on-prem or in your private cloud while models come to the data. 

Data is processed in volatile memory and purged immediately after execution, preventing silent persistence or reuse for model training. 

Deterministic guardrails and human-in-the-loop approval gates prevent agents from exceeding their defined authority. 

ITT ARIV provides deployment assurance by offering flexible, hardened environments.

Deployable across AWS, Azure, and GCP within client VPCs/VNets with explicit non-exfiltration guarantees.

Suitable for highly regulated industries where data cannot leave the customer boundary.

The platform includes baked-in rate limiting, circuit breakers, and error taxonomies to ensure stability under load.