nestonexWorkflow and model selection
A defined task, provider requirements, cost assumptions, and a comparison of suitable approaches.
Generative AI Integrations
Put generative AI where it can do useful work.
Nestonex integrates generative AI into applications and internal workflows, including knowledge assistants, document processing, drafting tools, and content generation. The integration connects model capabilities to the right information, permissions, and review steps.
Discuss this serviceIs this the right
starting point?
This service fits teams that want to add an AI capability to an existing product or replace a repetitive manual step. It starts with a bounded task rather than an open-ended assistant expected to handle every request.
THE SCOPE /
What an engagement can include
Knowledge and retrieval
Document ingestion, retrieval behavior, source references, and access boundaries when the use case needs company knowledge.
Application integration
Prompt and response handling, structured outputs, approved tool actions, and a clear user interface.
Evaluation and maintenance
Test cases, failure handling, monitoring, and a procedure for checking changes to models, prompts, and source material.
The proposal defines the final deliverables, responsibilities, and acceptance criteria.
From a clear brief
to a useful release.
We begin with representative requests and decide what the system should answer, refuse, or hand to a person. A prototype tests the chosen approach against your material. The production scope then adds permissions, observability, review, and operating controls.
What shapes the estimate
Provider pricing, data-retention terms, source quality, retrieval freshness, and prompt-injection risks belong in the architecture discussion. Connecting a model to business actions requires explicit limits and approval steps.
Prepare a stronger project briefBEFORE WE BEGIN /
Common questions
What is a retrieval-based AI assistant?
It retrieves relevant material from a defined collection and uses that context when generating a response. Retrieval can make company information available to a model, but it does not eliminate the need to evaluate answers and check access controls.
Can an assistant cite its sources?
A workflow can be designed to attach references to the source material used for an answer. Those references should be checked during evaluation, and the interface should distinguish sourced information from unsupported output.
Can we switch model providers later?
Provider abstraction can reduce migration effort, but models differ in behavior, tools, latency, and output quality. A switch still needs testing against your acceptance criteria.