Managed LLM Agent Platform
Unified managed LLM platform integrating ChatGPT, Claude, and Gemini with enterprise guardrails, live data access, and governed agent workflows.
~-55%
Time to Insight
Ask from live data instantly
~+70%
Adoption Rate
Teams using governed AI daily
~-40%
Manual Handoffs
Connected actions automated
~100%
Policy Compliance
Centralized guardrails
Fragmented AI Tool Adoption
Teams were using multiple public AI tools inconsistently, with no central governance, no connection to live business data, and no standardized way to execute approved actions or maintain organizational context across departments.
Enterprise Managed LLM Hub
We built a managed platform that routes work to ChatGPT, Claude, or Gemini based on policy and task type. All models share the same governed access to enterprise data, connected actions, and organizational context.
How Agents Are Used
Multi-model orchestration ▾
The right managed model handles each request while users interact through one consistent interface with shared security and access rules.
Context on demand ▾
Agents reach into ERP records, production systems, operational APIs, and event streams to answer questions with current business context instead of static knowledge.
Workflow continuity ▾
Prior interactions and outcomes inform the next request, so teams build on earlier work rather than starting from scratch each time.
Policy-enforced actions ▾
Integrations and automations run only within defined guardrails, with complete activity logging across departments and model providers.
Multi-model orchestration
The right managed model handles each request while users interact through one consistent interface with shared security and access rules.
Context on demand
Agents reach into ERP records, production systems, operational APIs, and event streams to answer questions with current business context instead of static knowledge.
Workflow continuity
Prior interactions and outcomes inform the next request, so teams build on earlier work rather than starting from scratch each time.
Policy-enforced actions
Integrations and automations run only within defined guardrails, with complete activity logging across departments and model providers.
Governed AI Across the Enterprise
The organization standardized AI usage with fast, accurate, repeatable results while maintaining accountability and control over managed model providers.