Function calling specialists for your dedicated team.

Where function calling fits in a long-term product team.

The model does not execute anything. It proposes a call, your code decides whether to run it, and that boundary is the whole safety design. Treating a proposed call as an instruction to execute without checks is how these systems cause damage.

Reliability comes from narrow, well-described functions with validated arguments. A broad function with a vague description gets called at the wrong time with plausible-looking nonsense, and anything irreversible needs a human approval step regardless of how well the model performs in testing.

What your dedicated team does with function calling.

The boundary between what a model proposes and what your code executes is a design decision that gets revisited every time a new capability is added. Each addition widens what the system can do and what it can do wrong, and that trade needs an owner.

When the goal is an internal process, the work sits with a dedicated AI automation team, with approval steps designed in from the start.

Common function calling use cases.

• Assistants that do work A model that can look something up or file something.
• Structured output from unstructured input Extracting fields from documents or messages into a validated schema.
• Guarding irreversible actions Approval steps built into workflows where an error would be expensive to undo.

Adding function calling skills to your team.

This work is assigned under AI automation engineering where the goal is internal process, and under AI engineering where it is a product feature. What that figure covers is set out in how the monthly fee is built.

Function calling specialists join your team remotely as dedicated, full-time team members, selected, employed and managed by us in Chiang Mai and Bangkok. Companies that hire offshore developers through Azendo add the skill at the next monthly cycle.