Integration

OpenAI

The AI models behind assistants that read, write, sort, and answer using your own business information, wired into the tools you already use.

Where OpenAI fits.

  • You want an assistant that answers from YOUR documents, not the open internet.
  • Staff spend hours sorting, summarizing, or pulling details out of emails, invoices, or tickets.
  • You want first drafts of replies or reports generated from your own data.

What you get with OpenAI.

  • OpenAI and your document library: answers come from your own approved documents and policies, not the open internet.
  • OpenAI and your email inbox: details get pulled out of emails, invoices, and tickets automatically, without someone reading each one.
  • OpenAI and your reporting tools: first drafts of replies, summaries, or reports get written from your own data.
  • OpenAI and your other business tools: the assistant can look things up and take action elsewhere, not just answer in a chat window.

The real problem isn’t the model, it’s trusting it with your business

OpenAI’s models can hold a conversation and write convincingly, which is exactly why it’s tempting to just point one at a customer and hope for the best. The trouble is a model on its own doesn’t know your prices, your policies, your open invoices, or what happened on last week’s support ticket. Left ungrounded, it will answer confidently anyway, and confidently wrong is worse than not answering at all.

Meanwhile the actual daily cost sits somewhere less exciting: someone on your team reading through emails to pull out the two details that matter, summarizing a stack of invoices by hand, or writing the same kind of reply over and over with small changes each time.

What we build, and what changes

We build the layer that makes OpenAI’s models actually useful for a real business: one that answers from your own approved documents and policies instead of guessing, that can look things up and take action in your other tools instead of just chatting, and that pulls the specific details you need out of emails, invoices, or tickets automatically. The output isn’t a chatbot for its own sake, it’s a first draft, a pulled-out answer, or a completed task that a person used to do by hand.

A real example: one input, six channels, 15+ hours back

For a marketing agency client, we built a system where OpenAI adapts a single piece of content into the right tone and format for six different channels and gets it scheduled automatically. That one system removed more than 15 hours a week of manual cross-channel writing and posting. We’ve built the same kind of grounded, action-taking assistant for businesses that want an assistant answering strictly from their own approved documents and able to act in their other tools, not the open internet.

How working with us actually goes

We start by scoping exactly what the assistant needs to know and do, then ground its answers in your own documents so it isn’t guessing. Because it’s billed by how much text it processes, we estimate the monthly cost up front so there are no surprises, and we test it before it ever talks to a customer. It’s built on your own account, with a fixed price and a written guide, and you’re not locked into us to keep it running.

Good to know before we start.

AI can sound confident while being wrong, so pointing it straight at customers without guardrails is risky.
How we handle it: We ground its answers in your approved documents and add checks, so it doesn't make facts up.
It's billed by the amount of text it processes, so cost grows with how much you use it.
How we handle it: We estimate the monthly cost up front and build in controls so it stays predictable.

Ready to integrate OpenAI?

Tell us what you need automated. We scope it, fix the price, and build it on your infrastructure.