AI Integration Services

Usually, yes. We connect a model to one defined job in your product, such as extracting data, classifying requests or drafting text, rather than adding a general chatbot. The integration sits beside your current features, so existing users and workflows are not disrupted. We start with a small pilot to prove value.

They connect large language models to your product or workflows in a controlled way. That means choosing the model, writing the prompts and logic, adding validation and guardrails, measuring accuracy and monitoring cost. The work is mostly engineering around the model so that its answers are reliable enough to use.

We assume they will happen and design for them. Outputs are validated against rules, low-confidence results go to a person, and answers can cite their sources. We measure error rates on a real evaluation set before launch and keep measuring afterward, so you know how often the system is wrong.

We choose providers and settings that match your data rules, send only the data a task needs, and document what goes where. For sensitive data we can mask fields before they reach a model, or use options that keep data within your own cloud account. We review this with you before building.

Yes. AI document processing services pull fields from invoices, forms, contracts and similar files into structured data. Results carry a confidence level, and uncertain ones go to a person for review. We test on your real documents first, since accuracy depends heavily on layout and quality. Over time, corrections made by reviewers can be used to improve accuracy.

We agree success criteria before building, such as time saved per task or the share of items handled without a person. A small pilot measures those against a baseline. Usage and spend are tracked once live. If the pilot does not clear the bar, you will know early and cheaply.

A pilot on one defined task often takes a few weeks, including the evaluation set. A production integration with review screens, monitoring and cost controls usually takes a couple of months. Data quality and the cost of mistakes are the biggest factors. We start with the pilot so you can judge results before committing further.

It depends on the task. We compare providers on accuracy for your own examples, speed, cost and data handling rules, then build the integration so the model can be swapped later. We do not tie you to one vendor. For some tasks a smaller or cheaper model performs just as well as a large one.