Done-for-you private AI is a service model where a provider designs, installs, and manages AI agents that run on infrastructure you control, so your client data stays private instead of flowing to a public AI vendor. For a law firm, medical practice, or financial advisory that handles regulated data, it means getting the productivity of modern AI without handing sensitive records to a third-party chatbot. Airgapped builds these systems for regulated professionals: you get working AI agents, and we handle the setup, the infrastructure, and the ongoing management.
Your AI. Your data. Your control.
If you searched for AI automation for a compliance-sensitive business, you have probably run into two kinds of tools, and neither one does what you actually want.
The first kind is compliance software: platforms that track your policies, monitor your controls, and help you pass a SOC 2 or HIPAA audit. Useful, but they manage paperwork about your business. They do not do the work of your business.
The second kind is public AI: the well-known chatbots and the dozens of wrappers built on them. They do real work, but they run on someone else's servers, and your data becomes their input. For a firm bound by client confidentiality or patient privacy, that is the whole problem.
Done-for-you private AI is the third option. It does the work, and it does it on infrastructure you control.
Private AI can mean different things, and the difference matters for compliance. Airgapped deploys in one of two ways, and we help you choose based on your obligations and your setup.
The AI runs on hardware installed at your office. Your data stays on machines you own and control, and never leaves the building. This is the strongest privacy posture and the right fit for firms that want full physical control of their data.
The AI runs in an isolated, single-tenant cloud environment we provision and manage for you, on infrastructure independently audited for HIPAA/HITECH and SOC 2 Type 2. Your workloads are never co-mingled with anyone else's. This fits firms that want private AI without managing hardware on-site.
In both models, your data is not sent to public AI providers and is not used to train their models. That is the line that separates private AI from a cloud chatbot with a privacy policy.
Most AI tools are point solutions: one does transcription, another drafts email, a third answers questions, and none of them share what they know. Your firm's knowledge stays scattered across inboxes, drives, and the heads of whoever happens to remember it.
Airgapped builds something different: a single private knowledge base that works as a second brain for your firm. Your documents, policies, records, and institutional knowledge live in one place, and every agent works from that same source of truth. Ask a question and the answer comes from your firm's actual knowledge, not a generic model trained on the public internet.
Because it runs on infrastructure you control, that brain is an asset you own. It does not walk out the door when an employee leaves, and it does not sit inside a vendor's platform you could be locked out of.
The simplest way to think about a private AI agent is as a capable part-time employee who works only on your systems and never takes files home. Depending on your practice, that can look like:
Each agent is scoped to a specific job and given access only to the data it needs. You decide what it can see and what it can do.
Regulated professionals are where the need is most obvious, because their obligations are written down:
The model is not limited to regulated industries. It fits any company with information it does not want handed to a public AI vendor:
The real question is not what industry you are in. It is whether you have data that should stay under your control. If you do, this is built for you.
If your firm is weighing AI but cannot afford to send client data to a public vendor, that is exactly the problem we solve. Book a call and we will map the work, the risks, and the plan.
What is done-for-you private AI?
Done-for-you private AI is a service where a provider builds, installs, and manages AI agents that run on infrastructure you control, so your data stays private instead of going to a public AI vendor. You get working AI without doing the technical setup yourself.
How is private AI different from using a public AI chatbot?
Public AI tools run on the provider's servers, and your inputs become their data. Private AI runs on hardware you control or in an isolated, single-tenant cloud environment, and your data is not sent to public AI providers or used to train their models.
Do I need a technical team to run private AI?
No. The done-for-you model means the provider handles the infrastructure, deployment, and ongoing management. That is the point: you get the results without hiring engineers or becoming your own IT department.
Is private AI HIPAA compliant?
No AI product is "HIPAA certified," because no such certification exists. Compliance comes from how a system is designed, deployed, and governed. For healthcare practices, Airgapped signs a Business Associate Agreement and deploys on infrastructure independently audited for HIPAA/HITECH and SOC 2 Type 2.
Where does my data go?
On-premises, your data stays on hardware at your office and never leaves the building. Hosted, it runs in an isolated, single-tenant cloud environment on infrastructure independently audited for HIPAA/HITECH and SOC 2 Type 2. In both cases, it is not shared with public AI providers and is never used to train any model.
What is the difference between on-premises and hosted private AI?
On-premises means the AI runs on hardware physically installed at your location, giving you full local control. Hosted means it runs in an isolated, single-tenant cloud environment we provision and manage on independently audited infrastructure, so you get private AI without managing hardware on-site.
Can private AI act as a single source of truth for my firm?
Yes. Airgapped can build a private knowledge base that works as a second brain for your firm, where your documents, policies, records, and institutional knowledge live in one place. Every agent works from that same source of truth, and because it runs on infrastructure you control, you own it outright.
Is this the same as compliance tools like the popular GRC platforms?
No. Those tools help you monitor controls and pass audits; they manage paperwork about your business. Private AI agents do the actual work of your business, such as drafting, research, intake, and reporting, on infrastructure you control.
Do I need to be in a regulated industry to use private AI?
No. Regulated firms are a natural fit because their obligations are explicit, but private AI is for any company with data it does not want handed to a public AI vendor, including intellectual property, source code, trade secrets, contracts, and customer records. If you have data that should stay under your control, the model works for you.
What kinds of tasks can private AI agents handle?
Common jobs include drafting and summarizing documents, answering questions against your internal knowledge base, handling intake and scheduling, and assembling research and reports. Each agent is scoped to one job and given access only to the data it needs.