IT Services and MSPs
Private AI for the people who run everyone else's IT
MSPs hold sensitive details about multiple client environments, which makes AI access and data handling a first-order design question. A Private GPT deployment can retrieve from approved runbooks, documentation, and ticket history under configured access rules. K3 Technology, a managed IT services firm, is the published customer example on this site.
Client environment details are radioactive
Network diagrams, credentials context, and client configurations do not belong in a consumer chatbot. Your engineers need a sanctioned place to ask questions.
Tribal knowledge walks out the door
The senior engineer who knows one client's unusual setup should not be the documentation strategy. Retrieval from approved runbooks gives the broader team a source-backed place to start.
Ticket volume scales faster than headcount
Drafting client updates, summarizing long ticket threads, and answering how do we usually handle X are exactly the work an internal AI removes from your queue.
What your team can use it for
- Answer engineer questions from runbooks and internal docs with sources
- Summarize long ticket threads before escalation or handoff
- Draft client incident updates in plain, calm language
- Search past resolutions across your ticket history
- Draft documentation from resolved tickets for review
- Onboard new engineers against your actual environment docs
Same managed platform, scoped to your systems and controls. See how deployment works or review pricing factors.
Published customer proof
“We needed an AI platform that understood our business, remembered our clients, and kept our data private.”
K3 Technology · managed IT services firm
Review the deployment evidence
Start with the existing K3 case study, then inspect the reference architecture, managed-service scope, and security review questions behind it.
Questions it / msp teams ask
Is this the same platform K3 Technology uses?
K3 Technology is the published managed IT services example for Private GPT. Its case study describes a dedicated Azure deployment, approved business sources, sourced responses, configured access, and managed operation.
Can we resell private GPT deployments to our own clients?
MSPs are a natural channel. Talk to us on a demo call about partner arrangements, since your clients already trust you with their infrastructure and this extends that trust to AI.
How does it connect to our PSA and documentation tools?
We connect approved sources during deployment, including common documentation platforms and file stores, and we scope PSA and ticketing integrations per deployment so answers reflect how your shop actually runs.
See it running on it / msp work
Book a meeting to review one real workflow, the approved information it needs, and the access, integration, support, timeline, and pricing scope for your firm.