Do I choose which model to work with?

Yes — if you have preferred providers, we can prioritize them; if you don't specify, we recommend the best-suited model per task.

Does my system break if a model provider changes?

No — because the orchestration layer abstracts the models, when a provider changes or a new model is released, only the routing rule is updated; the rest of the workflow is unaffected.

How is cost kept under control?

Simple tasks are routed to more economical models and complex tasks to stronger ones, so no task uses a needlessly expensive model.

Technology Services

LLM Integration & Orchestration

What is LLM Integration & Orchestration?

LLM integration connects large language models from OpenAI, Anthropic, Google, and the open-source ecosystem to your brand's workflows; orchestration is the automatic selection of the best-suited model for each task in a system that uses more than one.

What problem does LLM Integration & Orchestration solve?

Relying on a single model leaves you with lower-quality results on the tasks that model is weak at — long-document analysis or multilingual support, for example. An orchestration layer reduces that risk by routing every task to the model that's strongest at it.

How is LLM Integration & Orchestration set up?

01Task inventory: which work needs which model trait (speed, cost, language, accuracy) is identified.
02Model selection and routing rules: a primary and a fallback model are defined for each task type.
03Prompt engineering: prompt structures that get the best result from each model are built.
04Monitoring: model performance and cost are compared on an ongoing basis.

Example use cases

Legal: Contract analysis

For a legal advisory firm that needs both fast summarization and precise contract analysis, the orchestration layer routes each task to a different model based on what it requires.

Customer service: Multilingual support

For a brand that supports multiple languages, the orchestration layer automatically picks the strongest model for the incoming language.

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FAQ