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sedwis

AI Solutions

AI that shipsto production,not to a slide deck.

Agents, automation and models that plug into the systems you already run — with guardrails, evaluation and costs you can predict.

How we approach it

Most AI pilots never reach production.

Not because the models aren't capable — because the deployment was never designed. Four things we do differently.

01

Start from the task, not the technology

The best projects begin with an expensive manual process. Ones that begin with 'we should use AI' rarely reach production.

02

Design the failure path first

What happens when the model is wrong matters more than what happens when it's right. Uncertain cases go to a person.

03

Measure with evals, not impressions

A scored test set of your real cases. Without it, you can't tell whether a change helped — or whether a provider's silent update hurt.

04

Instrument the cost from day one

Token spend per workflow, visible before you scale it. AI budgets go wrong quietly.

Data & privacy

Your data does not train anyone's model.

We deploy on enterprise API tiers that contractually exclude your inputs and outputs from training. Where that isn't sufficient — regulated data, or a policy against any external processing — we run open-weight models inside your own environment.

Every AI page on this site states where data goes and what the workload costs to run. If a vendor won't tell you both, that itself is an answer.

Start with one expensive task.

Tell us the process that eats your team's week. We'll tell you honestly whether AI is the right tool for it.