Service
AI Integration
AI wired into the systems you already run
We embed AI and LLMs into your existing systems and workflows, connected to your real data, so it ships outcomes instead of demos.
What we do
- AI opportunity mapping grounded in your real workflows
- Retrieval, agents, and automation wired to your own data
- Human-in-the-loop review where accuracy matters
- Production guardrails: evaluation, monitoring, and cost controls
Overview
How we think about AI Integration
Most teams do not have an AI problem, they have an integration problem. The models are capable, but they are not wired into the systems, data, and workflows where the work actually happens. Adapter closes that gap. We connect AI to the tools your team already uses, ground it in your real data, and put it where decisions get made.
We start from a business outcome, not a model demo. We map where AI can remove a manual step, speed up a workflow, or unlock something your current systems cannot do, then we build it against your real data with retrieval, agents, or automated review as the use case requires. Everything ships with the guardrails production needs: evaluation, human-in-the-loop review where it matters, monitoring, and cost controls.
Because we are an integration studio first, the AI we build does not sit in a separate tool you have to check. It lives inside your stack, triggered by the events and data already flowing through it, with the failure handling and observability of any other production system.
Deliverables
What you get
- 01
A prioritized map of where AI fits your systems and data
- 02
AI features embedded in your existing tools and workflows
- 03
Retrieval or agent pipelines connected to your data sources
- 04
Evaluation, monitoring, and cost controls for production
- 05
Documentation and handoff so your team can operate it
Our Approach
How we work
Find the real opportunities
We look at where work actually slows down or breaks across your systems, and identify where AI removes a step or unlocks something new. We are honest about what will pay off and what is a distraction.
Ground it in your data
We connect models to your real data through retrieval, structured context, or fine-tuning as the use case requires, so outputs are accurate enough to trust in production.
Embed it where work happens
We wire the AI into the tools and workflows your team already uses, triggered by your existing events and data, not bolted on as a separate app to check.
Make it production safe
We add evaluation, human-in-the-loop review where it matters, monitoring, and cost controls, then hand off documentation so the system keeps running.
When to call us
Is this the right service for you?
AI that never reached production
You have prototypes and pilots that demo well but never shipped, because nobody wired them into real systems and data.
Manual work across tools
Your team copies data between systems, triages tickets, or reviews documents by hand, and AI could remove the step if it were connected properly.
Data trapped in silos
You want AI grounded in your own knowledge and records, but that data lives across systems that do not talk to each other.
Unsure where AI fits
You know AI should help somewhere, and you want an honest assessment of where it pays off rather than a tool you bolt on everywhere.
FAQ
Common questions
Things clients typically ask before starting a AI Integration engagement.
Part of a bigger picture
AI Integration ships as part of an Adapter integration engagement, where a dedicated senior team connects your tools, data, and AI into one stack that works together.