Use case
AI strategy for non-technical leadership
For executives and operators who need to understand where AI creates real leverage in their business — without the buzzword deck or the vendor pitch.
Use Cases
Where AI creates real leverage — and where it doesn't.
The strongest engagements start with a specific, well-understood business problem. We help you find the right place for AI, scope the first build, and ship something that works against real data.
Use case
Custom LLM integrations into existing products
For teams that want to bring language model capabilities into their stack without rearchitecting everything or building a science project.
Use case
RAG systems over internal knowledge
For organizations with valuable internal data — docs, transcripts, support tickets — who want intelligent retrieval instead of keyword search.
Use case
Intelligent automation pipelines
For teams where repetitive data processing, routing, or customer interactions are eating time that could be reclaimed with a well-scoped automation.
Good fit
The strongest AI projects are usually simple to describe.
If you can clearly name the bottleneck, the data you have, and what a better outcome looks like — that is usually a strong fit. Vague ambitions about "using AI" are a poor starting point; specific problems are not.
Let's find where AI creates real leverage
If you want to map your AI opportunities, build a custom agent, or automate a workflow that's slowing you down — let's talk.
Start with a clear conversation about the problem. We'll tell you honestly what AI can and can't do, and scope the right first step.