AI, automation & cybersecurity for business

We build secure AI systems that solve real business problems.

Business automation, private knowledge assistants, cybersecurity, and AI infrastructure built around your people and existing systems. Start with one useful problem, an agreed scope, and a budget you can plan around.

Human-controlledPrivate optionsSecurity by designBudget-aware
AutomationChatbots & KnowledgePrivate AICybersecurity
A focused first engagement

Start with one workflow. Prove the value before expanding.

Bring us one repetitive process or information bottleneck. We define a focused pilot around your people, approved data, and existing systems before recommending a larger build.

01

Agree the scope

Define the workflow, approved data, integrations, human review steps, deliverables, and success measures before development begins.

02

Build the pilot

Develop and test the agreed workflow in a controlled environment, with clear review steps and exception handling.

03

Measure the result

Compare the pilot with the current process using agreed measures, including review time, corrections, and the handling of exceptions.

04

Decide what comes next

Review the pilot, documented findings, limitations, and production recommendation. Decide whether to refine, expand, or stop.

Discovery and pilot development are paid, scoped engagements. Pricing, timing, and deliverables are agreed before work begins. Production deployment and ongoing support are scoped separately.

Start with the problem

What is your company trying to improve?

You do not need to know which model, server, or product to ask for. Select the need and we will show the most relevant service.

Recommended direction

Business Workflow Automation Pilot

Map one manual process, connect the necessary systems, and build a narrow automation with human approval and exception handling.

First deliverableWorking pilot around one measurable workflow
DeploymentArchitecture selected after workload and data review
BudgetStart small, prove value, then expand
Services

Every service has its own page, scope, and starting point.

Explore the work in plain language, then use the project page to discuss the need, deployment, and available budget.

AI & Automation

Infrastructure & Deployment

Private & Local AI

Run AI inside the organization or on dedicated equipment when control, privacy, latency, or continuity matters.

On-Premises AI Systems

Design, budget, build, install, and support AI infrastructure inside the customer’s own facility.

Managed Colocation AI

Place customer-dedicated AI equipment in an approved professional facility without giving up control of the system.

Hybrid AI Infrastructure

Keep sensitive work local while using dedicated remote systems for resilience, backup, or additional capacity.

AI Hardware Design & Build

Select and build practical workstation, server, storage, network, and accelerator configurations around the workload and budget.

Monitoring & Ongoing Support

Watch the services, backups, capacity, integrations, and scheduled work that keep an AI system useful after launch.

Cybersecurity

Cybersecurity Architecture

Design the identity, network, data, monitoring, backup, and recovery controls around the AI system from the beginning.

Firewall & Network Security

Modernize the perimeter, segment critical systems, secure remote access, and create controlled traffic paths around business and AI services.

Microsoft Active Directory Protection

Monitor and harden the identity system, limit lateral movement, and prepare a trusted path back after a serious breach.

AI-Assisted Log Intelligence

Collect firewall and infrastructure logs, reduce noise, correlate events, and present a smaller number of meaningful security questions for human review.

Encrypted Backup & Recovery

Protect recovery copies from the same credentials, systems, and attack paths that could compromise production.

01

Start with useful work

We look for one measurable business problem before recommending technology.

02

Build around the budget

We would rather place a responsible AI system into the company than oversize the first build.

03

Protect the whole environment

Identity, network, data, logs, backup, and recovery are designed with the application.

Cybersecurity by design

AI cannot be secure if the environment around it is not secure.

Vai-Nova can design current-generation firewall protection, segmentation, Active Directory monitoring and recovery, AI-assisted log analysis, encrypted backups, and controlled breach response.

What we’re building

Stephanie’s Place is our flagship research and development environment.

A grounded system where memory, voice, perception, secure operations, monitoring, and long-term human–AI collaboration are built and tested together.

Stephanie’s Place
Voice
Memory
Vision
Operations
Presence
Active research & development

A connected personal intelligence environment

Real software, dedicated compute, sensors, audio, memory services, validation layers, and human oversight—used to develop and test practical engineering patterns.

Explore Stephanie’s Place
Project resources

Start with a clear policy, code of ethics, mutual NDA, and fillable project worksheet.

Review how Vai-Nova approaches client work, read our ethical commitments, protect preliminary discussions with a mutual NDA, or use the intake worksheet to describe scope, security, timing, and budget.

Company policy · PDF

Client Engagement, Data Protection & Responsible AI Policy

Public principles for human accountability, security, data use, right-sized engineering, project delivery, and support.

Company ethics · PDF

Vai-Nova Code of Ethics

Public commitments to honest claims, human responsibility, privacy, security, respectful treatment, and long-term trust.

Fillable PDF · Mutual NDA

Mutual Nondisclosure Agreement Template

A balanced starting agreement for confidential preliminary business, technical, security, and project discussions.

Fillable PDF · Project intake

Project Intake & Statement of Work Worksheet

Give us the business need, systems, data, security concerns, deliverables, timeline, and budget in a structured starting document.

Start with a real problem

Where is the work getting stuck?

Tell us which process is slowing your team down and which systems it touches. We will discuss the fit, then define a paid engagement with clear scope and deliverables. Please do not send passwords or confidential records with an initial inquiry.

Discuss a workflow pilot
Published by Vai-NovaUpdated September 10, 2026Report a correction