Data architecture
A clear model for where information lives, which source is authoritative, and how structured and unstructured data are retrieved.
Outerscope StudiosOuterscope service
AI can only work with the context it can reach. We build the secure data and tool layer that makes useful workflows, enterprise solutions, and training possible.
What this is
We design the backend beneath the visible AI experience: SQL and application data, APIs, connectors, identity, secrets, retrieval, agent runtimes, logging, and governance. The architecture creates broad useful access for employees and systems while preserving source ownership, permissions, and an auditable boundary around action.
What we build
A clear model for where information lives, which source is authoritative, and how structured and unstructured data are retrieved.
APIs and connectors across email, Slack, Teams, CRMs, files, databases, and the internal tools that run the business.
The backend services that let assistants find context, call tools, maintain state, and complete work reliably.
Least-privilege access, secrets handling, logs, approval gates, cost visibility, and the controls needed for enterprise use.
How the engagement moves
Map the data, systems, owners, permissions, and integration constraints around the target workflows.
Set the source-of-truth model, access scopes, connector boundaries, runtime, and observability requirements.
Build and test the smallest reliable path from data to tool use before expanding access.
Monitor quality, cost, permissions, failures, and change as more workflows begin using the layer.
A good fit when
What changes
Bring us the messy version
Show us the work, the bottleneck, or the situation. We'll help you see the useful system inside it.