Retrieval-augmented generation
AI answers grounded in approved internal information.
Explore Retrieval-augmented generationAI architecture
Connect model decisions to controlled workflows with typed tools, explicit permissions, and human review.
Discuss your projectModel suggests a typed action.
Application checks inputs and authority.
A person reviews consequential changes.
Service applies the permitted operation.
Return a result or route an unresolved case.
An agentic workflow needs a boundary around execution. Define the permitted tools, maximum work, timeout behavior, and conditions that hand control back to a person. A model-generated tool request is a proposal for the application to evaluate.
actor: authorized employee
proposed_action: update_delivery_note
resource_scope: assigned account
approval: required before write
operation_key: unique workflow action
outcome: recorded after executionUse an operation identity and a lookup or reconciliation path so a retry can determine whether the effect already occurred. Blindly repeating a write can create duplicate business actions.
Your project, scoped around the outcome
A tool registry, workflow state model, and action audit trail.
Talk through the scopeAI answers grounded in approved internal information.
Explore Retrieval-augmented generationAI applications that need controlled model and prompt updates.
Explore LLMOps & evaluationAI workflows with demanding latency or usage constraints.
Explore Inference & cost engineering