AI integrations
We add controlled AI capabilities to document processing, search, classification and assisted workflows.
The workflow, made visible
This is a process illustration; it sends no data and performs no operation.
More than a chat box.
Document-heavy teams, customer support operations and product teams.
- ↗Source-grounded retrieval
- ↗Structured data extraction
- ↗Human-reviewed assisted workflows
- ↗Quality, cost and latency evaluation
Connections and
secure foundations.
Integration possibilities
Document repositories and API providers are selected after a data-transfer assessment.
Security and maintainability
Sensitive-data minimization, output validation and permission boundaries. Model output is never automatically treated as correct.
From scope to delivery.
Our processDiscovery
We understand users, the business and the problem that needs solving.
Strategy
We clarify priorities, scope and success criteria.
Experience design
We make flows and interfaces tangible through prototypes.
Engineering
We build modular, testable and maintainable systems.
Testing
We test real scenarios, devices and failure cases.
Launch
We prepare data migration, access and a rollback plan.
Evolution
We learn from use and improve the product as needs evolve.
Questions you may have.
Does my project need AI?
We first define a measurable problem. If simple rules are sufficient, predictable automation is the better choice.