Case study: managed IT services
K3 Technology runs its business on a private GPT
“We needed an AI platform that understood our business, remembered our clients, and kept our data private.”
One platform
replaced scattered personal AI accounts across the team
30+ models
Claude, GPT, Gemini, and open source in a single interface
Zero exposure
client environment data never touches public AI
Two weeks
from kickoff to a live, branded assistant
The problem: an MSP cannot use public AI
K3 Technology manages IT infrastructure for client businesses, which means their internal knowledge includes exactly the kind of material that must never end up in a consumer chatbot: client environment details, configurations, and operational documentation. At the same time, their engineers wanted AI leverage for the daily grind of tickets, documentation, and client communication.
The deployment
We provisioned a dedicated Azure environment, applied K3’s branding, and connected their approved documentation and business sources. Their team got a single assistant that answers from company knowledge with sources, remembers client context across conversations, and offers every major AI model through one interface with zero retention API agreements.
The result
AI moved from a liability conversation to daily infrastructure. Engineers ask questions and get answers grounded in K3’s own documentation. Client communication drafts start at ninety percent done. And when K3’s own customers ask where their data goes, there is a clean answer: it stays in K3’s environment, and it never trains anyone’s model.
Read more about private AI for MSPs and IT services firms or see how the two week deployment works. The full case study also lives on hummingagent.ai.
Want the K3 setup for your company?
Book a 30 minute demo. We will walk you through a live deployment and map the same two week timeline to your business.