Practical AI Solutions for Your Business
AI is no longer optional for competitive businesses — but most AI advice is written for enterprises with data-science teams. Velocigo delivers AI the way we deliver everything else: scoped to your business, secured properly, and measured by whether it actually saves time and money.
AI Services
AI Readiness Assessment. Where AI will genuinely pay off in your operation — and where it won’t. You get a prioritized roadmap with realistic cost and effort estimates.
Secure AI Deployment on AWS Bedrock. We deploy AI through Amazon Bedrock — leaning on our AWS expertise — so you get your choice of today’s leading foundation models (Anthropic Claude, OpenAI, Meta Llama, Mistral, Amazon Nova, and more) running inside your own secure AWS environment, where your data stays under your control. For Microsoft 365 shops, we also deploy and govern Microsoft Copilot. Either way, we handle data-access permissions, acceptable-use policy, and training so your team gets value without leaking sensitive information.
Workflow Automation. Connecting the systems you already own — email, documents, CRM, accounting — with AI-powered automation that eliminates repetitive work: document processing, data entry, report generation, and customer-inquiry triage.
Custom AI Integrations. Where off-the-shelf falls short, our development team builds AI capabilities directly into your business applications — a natural extension of the custom application work we’ve done for years.
AI Governance & Security. Policies and technical controls that let you say yes to AI without saying yes to data-loss risk. Especially critical for healthcare and other regulated clients.
Why We Build on AWS Bedrock
Your choice of model, no lock-in. Bedrock puts today’s top models behind one secure interface, so we choose the right model for each job — and swap in better ones as they ship — without re-platforming.
Your data stays yours. Everything runs inside your own AWS environment; your prompts and business data aren’t handed to public models for training. That’s the difference between “using AI” and using it safely. Securing this is exactly what we do as an AWS partner — see AWS Consulting.
Pay for what you use. Bedrock is consumption-based with no enterprise seat minimums, which keeps costs proportional to your needs and lets us start small and prove value before you scale.
The Velocigo Difference
Enterprises can afford AI experiments. You need AI that works. We start with one high-value use case, prove the return, then expand — the same crawl-walk-run discipline we apply to cloud migrations. And because good AI starts with good data, we make sure the foundation is right first — see our data services.
Frequently Asked Questions
Is AI really relevant to a small or mid-size business? Smaller teams often see the fastest payback, because one automated workflow frees a meaningful share of someone’s week.
Is our data safe with AI tools? Yes — and that’s by design. When we deploy on AWS Bedrock, your data stays inside your own AWS account: it is never sent to the public model providers, and it is never used to train or improve their models. That is why deployment and governance come first in every engagement — so you stay in control of your data.
What does an AI project cost? Readiness assessments are fixed-fee; implementation is scoped per project. Most first automations are deliberately small to prove value fast.
