Migration to Claude and Between Models
Model switching with side-by-side testing on real workloads and cost-based routing between models.
Migration from other AI models or from earlier Claude versions
Companies with AI applications in production that want to migrate from another provider to Claude, or upgrade to a newer Claude version.
Switching models without measuring is a risk: prompts that worked stop working, cost changes and quality may drop in cases nobody tested. On the other hand, staying on an old version costs in quality and in cost.
What we deliver
- An inventory of applications and prompts in production.
- Side-by-side testing between the current model and the candidate, on real workloads.
- Prompt and configuration tuning for the new model.
- Cost-based routing: each task type on the model that delivers the needed quality at the lowest cost.
- A gradual cutover plan and a rollback plan, if needed.
How it works
Inventory
We list applications, prompts, volumes and the quality criteria of each.
Compare
We run the current model and the candidate on the same real inputs and evaluate against agreed criteria.
Tune
We adapt prompts, tools and parameters to the new model.
Cut over and monitor
We migrate gradually, with quality and cost monitoring and a rollback plan.
- A migration decision based on comparison on real workloads.
- Migrated applications with verified quality.
- Cost-based routing rules between models.
Quality measured on the same cases in both models, with criteria defined before the test, plus cost per task before and after.
- Application owners to define what acceptable quality is.
- Access to real samples of inputs and outputs.
- A technical team for the production cutover.
Frequently asked questions
What if the test shows migrating is not worth it?
That is a valid result. The decision is made with the test data, and the report documents the reason.
Want to talk about this offering?
We start with a conversation to understand your scope. Each offering has a closed scope and price per phase.