LLM Integration
LLM Integration Services
Language models wired into the software you already use: search across your documents, draft replies, classify requests, route work. We handle the plumbing, the security, and the bills.
The problem
Your software already holds the answers: your support system, your inbox, your records. It can't draft replies, route requests, or summarize anything, because no language model is wired into it. That's what LLM integration services are for, and most SMBs never get there because the plumbing feels risky.
How we work
We integrate LLMs where they change a real workflow. Each integration gets its own security boundary, cost controls, and fallbacks for when the model is down or wrong. You keep the front end your team already knows.
What you get, step by step
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We find the spot where a language model would save the most minutes per week.
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We integrate the model into that tool, scoped to your data, with caching, rate limits, and cost alerts.
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We monitor output quality and cost, tune prompts and models as they change, and expand to the next spot.
Where you end up
Your everyday software gets noticeably smarter, costs are capped and predictable, and your team doesn't have to learn a new tool or trust a black box.
Why it works for you
- Works inside tools you already use
- Security boundaries per integration
- Cost controls: caching, limits, alerts
- Fallbacks when the model is down or wrong
- Prompts and models tuned as they evolve
Questions, answered
What's an LLM integration, as opposed to a chatbot?
A chatbot is a separate window people visit. An integration lives inside your existing software: a support inbox that drafts replies, a document system that answers questions about its contents, an intake form that classifies requests. The work just happens where your team already works.
How much does an LLM integration cost?
Two parts: the build, quoted per integration, and the running costs, which are usage-based and capped with limits and caching you control. We size both against your actual volume so the monthly bill is a number you've seen before, not a surprise.
How long does a typical integration take?
Most take one to three weeks, since we connect to software you're already running. The first project also builds the pattern we reuse, so the second and third integrations move faster.
What happens when the model gives a wrong answer?
Wrong answers are managed, not ignored. Integrations use your own documents and data as the source, validation rules flag low-confidence outputs, and every integration has a fallback to the normal workflow. A wrong draft is caught before it's sent, not after.
Talk to a human, not a sales bot.
Show us where a language model would save your team time.
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