AI integration services that plug into how you already work.

ChatGPT and OpenAI integration

OpenAI models connected to your product or workflow through the API, with your data, your rules and your logging.

Document and inbox automation

Emails, PDFs and forms read, classified and turned into records, with a person approving what matters.

Knowledge search over your data

Answers grounded in your own documents, tickets or product data, with sources shown so people can check them.

Tax clients upload photos and PDFs of every kind. Without help, a preparer has to open each file, work out which return it belongs to and chase the pages that are missing.

• OCR and classification on every upload
• Documents sorted into the right return automatically
• Missing pages flagged before review
• USTAXX AI answering tax questions, with escalation to a real preparer

Clients upload once in the USTAXX portal or app, in nine languages. Preparers open a sorted file instead of a pile, and questions the AI cannot answer go to a person.

A good fit when

• ✓A repetitive task eats hours every week: reading, sorting, summarizing or drafting.
• ✓The data AI needs already lives in your CRM, inbox, documents or database.
• ✓You want AI inside the tools your team uses, not another app to log into.
• ✓You need logging, permissions and a person approving important steps.

Probably not a fit when

• ×An off-the-shelf tool already does the job well enough. We will tell you if it does.
• ×There is no clear task or owner yet. Start with AI consulting instead.
• ×The process changes every week, so there is nothing stable to automate.

Pick the process

One real task, its volume and what "done right" means. The first consultation is free.

Prototype on real examples

The model wired to a sample of your real data, with a test set that measures quality.

Integrate

Connected to your systems with permissions, logging, cost limits and a fallback to a person.

Roll out and measure

Launched to the team, watched for quality and cost, then extended to the next process.

Number of systems

Connecting one system through a clean API is quick. Several systems, or ones without an API, take longer.

Data quality

Clean, structured data needs little preparation. Scanned documents and messy records need extraction and cleanup first.

How much the AI decides

Drafting for a person to approve is simpler than letting an agent act on its own, which needs more testing and guardrails.

Volume and model choice

High volumes call for careful model routing and caching so the monthly model bill stays predictable.

Security and permissions

Customer data, financial records or regulated data add access rules, audit logs and review.