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Secure Access
A tested starting point for secure access reduced repeated setup work.
We helped a growing AI product reduce unnecessary model spend and improve response speed by matching each task to the right model, reducing repeated work, and tracking cost by feature and workflow.
Trusted by teams building ambitious products
A growing business looking to use AI in a practical way without creating more complexity for teams or customers.
Coretus handled discovery, UX, AI workflows, integrations, testing, deployment, and ongoing improvement.
Make AI useful in daily operations while keeping the experience simple, measurable, and easy to manage.
A focused AI solution designed around the client's existing workflows, users, and business systems.
As product usage increased, AI costs became harder to predict. Expensive models were being used for tasks that did not always need them, and some requests were slower than users expected.
The company did not want to reduce AI capability. It wanted to use the right level of intelligence for each task and understand exactly where cost and response time were coming from.
Most tasks used the same expensive model.
Each workflow uses the level of model capability it needs.
Teams lacked feature-level cost detail.
Spend becomes easier to understand and control.
Some requests involved unnecessary processing.
AI calls and context are reduced where possible.
Different AI models can be selected based on task difficulty, risk, or response needs.
Teams can see which workflows and features consume the most AI resources.
Reduced calls, better prompts, and caching help improve response speed.
Tested foundations helped the team spend less time on setup and more time on the parts that made this product useful.
A tested starting point for secure access reduced repeated setup work.
Reusable work for ai workflow layer let the team focus more time on the client’s specific needs.
This made it easier to add monitoring & feedback without rebuilding common foundations.
A tested starting point for human review reduced repeated setup work.
A straightforward before-and-after view of what changed for the team and their customers.
Teams understand which workflows drive model spend.
Unnecessary processing is reduced.
High-cost models are reserved for tasks that need them.
The goal was not to make the AI cheaper by making it worse. We made the system smarter about when it actually needed the expensive model .