SERVICE SCOPE
ASWORK first confirms the calling objective, upstream and downstream systems, data formats, permissions, concurrency, logging and exception handling. The work can include API encapsulation, business logic, system integration, joint testing and interface-document handover. Models, platforms, runtime environments and third-party dependencies are confirmed before implementation.
SERVICE FACTS
ASWORK first confirms the calling objective, upstream and downstream systems, data formats, permissions, concurrency, logging and exception handling. The work can include API encapsulation, business logic, system integration, joint testing and interface-document handover. Models, platforms, runtime environments and third-party dependencies are confirmed before implementation.
Before work starts, the parties confirm suitable scenarios, required client inputs, where AI is used, delivery stages, acceptance checkpoints and scope boundaries. The resulting scope is executable, testable and suitable for handover.
WHEN IT FITS
CLIENT INPUTS
AI VALUE
API delivery is more than an endpoint. Data formats, business rules, permissions, logs, exception handling and the target system must work together in a chain that can be jointly tested and repeated.
DELIVERY PROCESS
Confirm the calling objective, connected systems and acceptance method.
Review interfaces, data, permissions, network and third-party dependencies.
Design and implement APIs, adapters, business logic and control mechanisms.
Complete target-environment integration, exception tests and required performance checks.
Hand over source code, configuration, API documents, test records and maintenance notes.
ACCEPTANCE
BOUNDARIES
FAQ
A model API provides a base capability. Integration work connects authentication, data formats, business rules, permissions, logs, exception handling and existing workflows into a runnable and testable business call chain.
Yes, subject to an assessment of available interfaces, account permissions, databases, network and deployment conditions. The route may use an API, SDK, middleware, plugin or independent service. Systems without accessible interfaces need a separate feasibility assessment.
Text, vision, speech, knowledge-base and different model providers can be assessed. Multi-model switching should be justified by output quality, cost, regional availability, data boundaries and maintenance complexity.
The agreed scope can include project credentials, user or tenant permissions, request limits, budget controls, log fields, alerts and audit records. Logged data and retention periods are confirmed against security and compliance requirements.
Acceptance normally covers agreed request and response formats, business workflows, permission cases, exceptions, concurrency or response time, logs and joint tests in the target environment. Model-output quality is evaluated separately on agreed samples.
Not by default. Accounts, licenses and usage charges for models, cloud resources, messaging, storage or other third-party services are confirmed separately. Clients may use their own accounts when they have the necessary rights.