AI systems
AI where it earns its place.
AI features and agents built into your product, or standalone. Only where they beat a simpler approach, and honest with you when they do not.
Most AI projects fail in production, not in the demo. A model that dazzles on stage hallucinates on a Tuesday, and nobody scoped who catches it. The hard part was never the model. It is the system around it.
The system
From where it fits to what ships.
Diagnose
We map the business and find what to build
Scope
We turn it into a fixed price plan
Build
We write and test it in your stack
Where AI belongs, and where it does not.
Worth building
- Reading messy input into clean structure
- Drafting a reply a person approves
- Routing and ranking at a scale people cannot
- Answering from your own documents
Not yet
- Decisions that need a person to own them
- Anything a plain rule already handles
- A demo with no path to production
- Cutting a headcount by hiding the risk
Pushback
Objections
Is this a wrapper around someone else's model?
The model is one part. The value is the retrieval, the guardrails, and the human handoff around it, which is what we build and you own.
How do we stop it saying something wrong?
It answers from your data, cites what it used, and escalates when unsure. A person stays in the loop wherever the cost of wrong is real.
FAQ
Frequently asked questions
Should my business use AI or is it hype?
Both are true. It pays for reading, drafting, and routing at scale. It does not pay for decisions someone must own. The diagnosis tells you which you have.
Can you build an AI agent for our workflow?
Yes, when a task is repetitive, rule heavy, and safe to automate with a person watching the edges. We scope where the agent stops before we build it.
Will our data be used to train someone else's model?
No. We build on providers and settings that keep your data yours, and we can run open models in your own environment when that matters.
What does an AI build actually cost?
Scoped from the diagnosis into a fixed plan and price. Most cost sits in the system around the model, not the model, and that is where we are precise.
Find out what to build.
A 20 minute call, or a message on WhatsApp. Either way you leave knowing the first thing to build.