Applied AI
Automation that can be trusted.
Applied AI grounded in your operations — evaluated, bounded, and measured against the work it is meant to change.
01 / Capabilities
What the work includes.
Use-case evaluation
An honest test of where a model helps, where it adds risk, and where a rule is enough.
Retrieval systems
Search and grounding over your documents with citations a reviewer can follow.
Agent workflows
Bounded automation with clear permissions, checkpoints, and a human escape hatch.
Evaluation
A test set, a scoring method, and a release gate that survives a model change.
Guardrails
Input, output, and access controls that match the sensitivity of the work.
Integration
A path from prototype to the systems where the work already happens.
02 / Outputs
What you leave with.
Every AI engagement starts with a baseline: how the work is done now, what a good outcome looks like, and what error is tolerable. If the evidence does not support the use case, we say so before anyone builds a product around it.