Connect thaink² to the systems behind your business

AI becomes useful when it has access to the right business context.

That context may live inside databases, data warehouses, CRMs, documents, collaboration tools or model providers. thaink² integrations are designed to connect these systems to AI analytics and agent workflows without forcing organizations to rebuild their existing technology stack.

Explore integrations by data source and workflow

The integration library covers several parts of the enterprise environment.

Data platforms such as PostgreSQL, Snowflake, BigQuery or Databricks can provide structured analytical context. Business systems such as Salesforce or Dynamics can add operational information. SharePoint, Google Drive and Notion can support enterprise knowledge workflows, while model providers can become part of aPowerB agent runtimes.

Each integration page explains the role of the technology, how it can fit into a thaink² or aPowerB workflow, and the types of use cases it can support.

Bring the data to the agent

The objective is not to create another isolated data silo.

A useful agent should work with the systems the organization already depends on, under clearly defined permissions and business rules.

That can mean analyzing warehouse data, retrieving internal documentation, sending analytical outputs into collaboration tools or using different LLM providers inside an agent runtime.

Explore the integrations below to see how your existing stack can connect to thaink² agents and workflows.