Connect AI agents to enterprise data without rebuilding the entire stack. Give Data & IT teams a controlled layer for integration, operations, evaluation and production deployment.
Content
Problem
Data and IT teams are often responsible for enabling AI while also protecting data quality, architecture, governance and production reliability.
Context
The challenge is to make AI useful to business teams without creating a disconnected shadow stack that becomes difficult to govern or operate.
Data sources
Relevant sources can include databases, data platforms, business applications, documents, APIs and enterprise knowledge systems. Exact integrations must be validated for each environment.
Approach
thaink² is designed to work with the existing enterprise stack, while AgentOps provides monitoring, evaluation and usage/cost visibility for production agents.
Capabilities
Enterprise data connectivity
Agent monitoring and evaluation
Usage and cost visibility
Controlled deployment
Business-user access to data workflows
Expected Results
Give Data & IT teams a clearer operational layer for AI agents while reducing the amount of manual analytical support required by business users.
