AI in internal tools
Add AI capabilities to an existing application.
We connect AI models to your systems, data and tools securely and traceably.
A model's value depends on what it can access. Integrating it with internal systems without access control, logging or limits opens a new door in your architecture.
Five phases, always in the same order. Select each one to see what happens in it. In full projects they map onto the stages of our method.
We identify the use case, the data available, the risks and how success will be measured.
We design the solution: models, data, integrations, security controls and traceability.
We build the integration with access control, call logging, quotas and secrets management.
We test permissions, errors and usage limits and confirm that every call is logged.
We tune the system based on real usage and monitor the system like any other production service.
Add AI capabilities to an existing application.
Give a model controlled access to internal information.
Use different models behind a single integration.
An open protocol for connecting models and agents to tools and data sources in a standard way.
We design the integration so that changing provider has as little impact as possible.
With per-application quotas and dashboards showing token consumption and estimated cost.
Tell us about your situation. If this service is not what you need, we will tell you; if it is, we will propose a concrete first step.
Request this service