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LinkedIn TwitterMost enterprise AI tools only reach 20% of the workforce. AI Assist deploys to 100% at roughly one-fifth the per-user cost, backed by managed deployment services, professional training, and dedicated technical support. On-device. Offline-ready. Fully managed.
A Dell-exclusive managed services bundle combining AirgapAI software, white-glove deployment consulting, professional training through Iternal AI Academy, and dedicated enterprise technical support. Full coverage. Data never leaves the device.
Organizations are stuck choosing between cost and coverage. The result is a two-tier workforce where productivity gains concentrate in select departments while the majority continue with manual methods.
The promise of enterprise-wide AI transformation remains unrealized. At current market per-seat rates, most companies can only justify AI access for a fraction of their people. This creates compounding disadvantages across the organization.
20% of employees get AI tools while 80% are left behind. Productivity gains stay siloed in select departments instead of scaling across the organization.
Token overage fees, per-query charges, and agentic workflow costs turn predictable budgets into unpredictable spend.
Cloud-based AI tools transmit sensitive enterprise data to third-party servers, creating compliance and security risks that regulated industries cannot accept.
Field workers, travelers, and remote employees lose AI access whenever connectivity drops. The tools disappear exactly when they are needed most.
At current enterprise AI per-seat rates, the math only works for a small slice of the workforce. Full deployment is financially impossible for most enterprises.
Sending enterprise data to third-party cloud infrastructure fails compliance requirements for defense, healthcare, financial services, and government.
If only 20% of employees have AI tools, 80% of your operational efficiency gains are left on the table. Competitors deploying at full scale will outpace you.
AI Assist is a managed services engagement, not just a software license. It includes professional deployment consulting, technical configuration services, ongoing training programs, and dedicated enterprise support from certified specialists.
Full-featured enterprise AI chat assistant with local processing that keeps all data on-device. No cloud. No data transmission. Complete privacy.
End-to-end managed services including consulting, technical implementation, professional training and enablement programs, and dedicated ongoing technical support from certified specialists.
Stop making impossible choices about who gets AI tools. Deploy to accounting, HR, marketing, sales, legal, operations, and every other department simultaneously.
CIO / IT LeadershipData never leaves the device. No cloud transmission. No third-party exposure. Meets HIPAA, CMMC/NIST, FedRAMP considerations, and GDPR/data residency requirements.
CISO / Compliance / LegalField workers, travelers, and employees in connectivity-challenged environments maintain full AI capability. Works on planes, in remote offices, and during network outages.
Operations / Field TeamsNo token meters running. No surprise overages. No per-query charges. One license, unlimited use. Finance teams get clean forecasting with zero variance risk.
CFO / Finance / ProcurementPre-built workflows eliminate the prompt engineering barrier. Employees start generating value on day one without needing to learn how to talk to AI.
HR / Change ManagementAn AI personal assistant drafts and rewrites documents, summarizes long files and meetings, and answers questions from the company documents you give it. A work assistant does this against your own material, on your own machine, so the answer is grounded in your organization's content rather than the open internet.
Proposals, status updates, policy language, customer replies. The AI work assistant turns a rough outline into a draft the employee edits, instead of a blank page they have to fill.
A long contract, a quarter of meeting notes, a regulatory bulletin. The assistant returns the decisions, the obligations, and the dates in the form the reader actually needs.
Point it at the handbook, the SOPs, and the product library and it answers from that material. Grounding on company content is what separates an AI business assistant from a consumer chatbot.
2,800+ pre-built workflows cover the recurring jobs across 50+ industries and functions, so employees get value on day one without first learning how to write a good prompt.
The same paragraph as a board note, a customer email, and a shop-floor instruction. Non-native speakers get a second pair of eyes on every message they send.
The AI workplace assistant runs on the device NPU and GPU. On a plane, at a remote site, or during an outage, the assistant is still there because nothing depends on a round trip to a data center.
AI Assist is the packaged form of this: AirgapAI running on a Dell AI PC, plus the deployment, configuration, training, and support that put it on every desk instead of a pilot group. For more information visit the AirgapAI page, or the Iternal AI Academy page for the training curriculum that ships with the bundle.
A work assistant handles contracts, patient records, source code, and unreleased plans. It must never fold that material into a model other people query, and for regulated work it should not transmit it at all. AI Assist keeps every prompt, document, and answer on the employee device.
Microsoft states in its Microsoft 365 Copilot data and privacy documentation that customer prompts and responses are not used to train the foundation models, and OpenAI publishes the same commitment for ChatGPT Enterprise. Those commitments hold. The remaining question for regulated work is transmission: the content is still processed off the device.
AI Assist runs the model locally, so the document an employee summarizes is never uploaded, never queued for processing elsewhere, and never held in a third-party log. There is no external copy of the material because the material never left the machine.
When only part of the workforce is licensed, the rest still have deadlines, and personal accounts become the unofficial path for company text. Licensing every employee on an assistant that keeps data local removes the incentive to route work through a consumer tool.
The NIST AI Risk Management Framework asks organizations to map where data goes and manage the risk that creates. HIPAA, CMMC and NIST SP 800-171, and GDPR data-residency obligations all get shorter when the answer to "where did the document go" is "nowhere".
For more information visit the What Is Private AI page, or the evaluate private AI page for the checklist buyers use when they compare an assistant against their own data-handling rules.
Compare AI Assist against Microsoft Copilot and ChatGPT Enterprise across the metrics that matter for enterprise deployment decisions.
| Capability | AI Assist | Microsoft Copilot | ChatGPT Enterprise |
|---|---|---|---|
| Relative Cost (1,000 Users) | ~1/5th baseline | Baseline | ~80% of baseline |
| Data Stays On-Device | Yes | No | No |
| Works Offline | Yes | No | No |
| Pre-Built Workflows | 2,800+ | Limited | None |
| Custom Workflow Generation | Yes | No | Limited |
| Token / Usage Limits | None | Agentic workflows | Message caps |
| Dell Services Support | Yes | Third-party | Third-party |
Buyers weigh three kinds of AI personal assistant: open-source assistants you host yourself, cloud assistants from the major platforms, and managed on-device assistants. Each is strong at something different. The right choice depends on who needs coverage, how sensitive the material is, and how much of the operation you want to run.
| Option | Strongest at | What it asks of you | Typical fit |
|---|---|---|---|
| Open-source assistants (Ollama, LM Studio, Jan, Open WebUI) | Control and cost. Run a local LLM on hardware you already own, swap models freely, no per-seat license. | Your team owns packaging, model selection, updates, and end-user support. | Engineering-led teams, pilots, and technical staff who want the model stack in their hands. |
| Cloud assistants (Microsoft 365 Copilot, ChatGPT Enterprise, Google Gemini) | Frontier model quality and deep integration with the productivity suite the company already runs. | Connectivity, a per-seat budget that scales with headcount, and content processed off the device. | Knowledge workers living inside the suite, on material that is cleared to leave the device. |
| Managed on-device assistant (AI Assist) | Coverage. Every employee licensed, offline capable, 2,800+ workflows pre-built, material never leaves the machine. | AI-ready endpoints and a deployment window with the services team. | Full-workforce rollouts, regulated data, and disconnected or field work. |
These are not mutually exclusive, and the strongest programs mix them. Organizations standardized on Microsoft 365 Copilot commonly keep it for suite integration and add AI Assist for the rest of the workforce and for material that cannot leave the device, while engineering teams keep their open-source stack. For more information visit the private AI coding assistants page for the developer-side comparison, or the offline AI chatbot page for how the assistant behaves with no network at all.
Whether you are refreshing hardware, supporting legacy devices, or running virtual desktops, AI Assist meets you where you are.
AI Assist software on AI-ready Dell PCs (2024 or newer). Local model processing using device NPU/GPU. Self-contained operation per device with no network required.
Relay server architecture for larger models. Central server within the customer network, never internet-exposed. Client devices connect locally. Supports legacy devices with less compute power.
VMware or Citrix virtual desktop integration. Centralized management and security. Thin client support through server resources for maximum fleet flexibility.
Our dedicated services team manages every phase of your deployment: strategic consulting, technical implementation, professional training delivery, and ongoing optimization services ensure nothing falls through the cracks.
Expert-led use case identification, stakeholder alignment workshops, and technical environment assessment.
Services team deploys to 25-50 users with hands-on workflow customization, feedback collection, and proof-of-value measurement.
Professional configuration of role-based workflow packages, data preparation, and MDM integration services.
Phased deployment managed by our services team with professional training delivery, enablement workshops, and support activation.
Continuous managed services including usage analytics review, workflow refinement consulting, and expansion planning.
AI Assist delivers maximum value for large enterprises with strict compliance requirements, distributed workforces, and cost-conscious IT leadership.
Air-gapped environments, classified data handling, CMMC/NIST compliance, and FedRAMP considerations met by on-device processing.
HIPAA-compliant AI that processes patient data locally. No cloud transmission means no breach vector through AI tooling.
Regulatory compliance, data residency requirements, and predictable per-seat costs that finance teams can forecast accurately.
Attorney-client privilege protection through local processing. Sensitive case data never leaves the device or touches third-party infrastructure.
Field and floor workers maintain AI access regardless of connectivity. Offline capability serves remote facilities and production environments.
Remote site operations, distributed workforce coverage, and offline functionality for field technicians in connectivity-challenged environments.
Claims processing, underwriting support, and policyholder data protection through on-device AI that meets strict data handling requirements.
Client confidentiality maintained while delivering AI-powered productivity across consulting, accounting, and advisory teams.
"The coolest thing I've done with a Dell PC this year? Running AirgapAI. It's like having a chatbot on your laptop where none of the data is leaving your device."John Siegel, SVP Product Marketing, Dell Technologies — CES 2026
AI Assist is a Dell-exclusive enterprise AI bundle that delivers a full-featured AI chat assistant, 2,800+ pre-built workflows, white-glove deployment services, training through Iternal AI Academy, and enterprise support. All processing happens locally on-device so data never leaves the machine.
AI Assist costs roughly one-fifth of what Microsoft Copilot charges per user per year. It runs entirely on-device with no cloud dependency, works offline, includes 2,800+ pre-built workflows, and has no token overage fees. At equivalent budget, organizations can deploy AI Assist to 100% of their workforce instead of 20%.
Yes. AI Assist processes everything locally using the device NPU and GPU. Field workers, travelers, and employees in connectivity-challenged environments maintain full AI capability on planes, in remote offices, and during network outages.
Three options: Standard deployment on Dell AI PCs with local model processing, Hybrid deployment with a relay server architecture for larger models within the customer network, and VDI deployment through VMware or Citrix for centralized management and thin client support.
Because data never leaves the device, AI Assist meets the most stringent compliance requirements including HIPAA, CMMC/NIST, FedRAMP considerations, and GDPR/data residency requirements. It is deployed by defense contractors, government agencies, and Fortune 500 organizations in regulated industries.
Our white-glove implementation services follow a five-phase managed journey: Discovery consulting for use case identification and technical assessment, managed Pilot deployment with 25 to 50 users, professional Configuration of role-based workflow packages and MDM integration, phased Rollout with hands-on user enablement training, and ongoing managed Optimization with usage analytics and expansion planning. A dedicated services team guides every phase.
An AI personal assistant for work drafts and rewrites documents, summarizes long material, and answers questions from the company files it is given. A work assistant differs from a consumer one in where the processing happens: AI Assist runs on the employee device, so prompts, documents, and answers stay on the machine.
The major platforms publish enterprise commitments that business content is not used to train their foundation models: Microsoft states this in its Microsoft 365 Copilot data and privacy documentation, and OpenAI states it for ChatGPT Enterprise. AI Assist removes the question a step earlier, because processing happens on-device and documents are never transmitted to any service.
Yes. AI Assist answers from the handbooks, policies, and reference libraries you point it at, so responses reflect your organization material rather than the open web. Those documents are processed locally on the device, which is what lets regulated teams use sensitive content with an assistant at all.
Open-source assistants such as Ollama, LM Studio, and Jan give engineering teams full control of the model stack with no per-seat cost, and they are a strong fit for technical teams. AI Assist packages the same on-device privacy with 2,800+ pre-built workflows, managed deployment, role-based training, and enterprise support, so a non-technical workforce can be covered without your team owning packaging and updates.
Deploy AI to 100% of your workforce at a fraction of what competitors charge for 20%. White-glove services handle deployment, training, and ongoing support. Data stays on-device. Works offline. Productive from day one.