Our expertise lies in helping global organizations operationalize AI quickly, from strategy through deployment, across any platform.
AI CLOUD PROVIDERS
Enterprise AI services that unlock momentum
Across Azure, AWS, OpenAI, or Vertex — Velocity AI builds secure, compliant AI that delivers ROI.
AI strategy & organizational design
Helping you move from “AI exploration” to enterprise execution.
GPT optimization & GEO
Your brand should be front and center- even inside ChatGPT.
AI agent design & automation
Helping you move from “AI exploration” to enterprise execution.
Global impact, measurable results
Users engaged via AI Agents
Higher engagement via AI-powered experiences
Reduction in manual processes with AI automation
See how our clients use AI to automate marketing, boost productivity, design faster, and gain sharper insights.
Transforming automotive dealerships with conversational AI
Higher engagement on Kia websites
Increase in lead conversions
Looking for a new car?Ensuring compliance while empowering marketing for financial consultants
faster compliance reviews
accuracy across all submissions
Ensuring compliant marketing materials with Al-powered precision.Giving voice to the FIBA basketball world cup mascot through AI
fans engaged in the first 2 weeks
successfully automated interactions
JIP the Al chatbot engaged 73,000 fans globally!Testimonials
This AI agent has increased our conversion rate and also increased customer satisfaction. Customers can now get the exact information they are looking for either on a vehicle or financing before ever talking to a sales rep. When a customer does submit a request, the sales rep has all the information they need to close the deal.
Abe Nodarse
Velocity's work speaks for itself. The partnership you get, in addition to the work, is second to none. They are collaborative, engaged, flexible, and seriously just great people all around. I love working with them.
Bri Spitznagel
Commerce Capabilities Manager
The project had a short time frame and was delivered on time. We've since demonstrated our solution's unique capabilities, reinforcing our position as a technology leader and innovator. All our interactions with Velocity were professional, and they were helpful and responsive, continuing to assist us post-delivery, even beyond the scope of the engagement.
Joe Goldberg
Innovation Evangelist
Velocity's flexibility and dedication to the project are great; we've been extremely pleased working with them. We have three major KPIs, and we've performed well across those KPIs right off the bat.
Jason Lesniewicz
Director of Cultural Tourism
afraid to move fast
Unlocking enterprise AI together with our trusted cloud partners
Answering some real questions from our clients
How do we roll out more AI use cases faster, stay
governed, and avoid technical debt by using
Microsoft's newest AI stack?
By using Microsoft's AI stack as the backbone instead of running scattered experiments. Early on, isolated pilots made sense; the tools were immature. Now Azure AI Foundry and Copilot Studio are advanced enough to support enterprise-scale delivery - the real challenge is architecture.
Foundry becomes the single hub for models and deployments. Copilot Studio becomes the fastest way to ship internal agents into M365, Teams, Power Platform, and Dynamics.
We've done this across multiple Fortune 500 companies, building one identity model, one data layer, one CI/CD pipeline, and one governance framework.
Result: faster rollout, clean governance, no technical debt - more successful pilots with measurable ROI and even non-technical teams that can safely build their own copilots without creating shadow systems.
We're a Google shop, deeply invested in BigQuery, Workspace,
and GCP. Our teams use Gemini every day. How do we move fast
on AI without taking on unnecessary security risk?
Google Cloud already gives you the security foundation — the key is making sure every AI workflow stays inside it.
BigQuery becomes your governed data layer; Workspace handles identity, permissions, and activity controls; and Vertex AI provides a secure, managed environment for building and deploying models.
AgentSpace adds a safe orchestration layer for internal agents that your teams can use directly in Gemini, without stepping outside governance.
Our certified team brings in the best patterns from real enterprise implementations and Google's own workshops and case studies. With one IAM model, one audit trail, and one deployment path, you can move quickly while keeping every model, agent, and prompt aligned to Google's security and compliance standards.
Our teams are experimenting with OpenAI everywhere. How
do we turn this into a structured, secure program instead of
scattered usage across the organization?
The fact that your teams are already using OpenAI is the best possible start. Most meaningful AI ideas start internally - people automate their own work first, and the customer-facing opportunities emerge from there.
Our role is to give that momentum a safe, consistent path. We help you set the fundamentals: proper licensing, AI-readiness assessments, and a simple intake process so promising ideas don't get lost.
We run workshops with your teams to explore use cases, clarify what's possible, and separate quick wins from longer strategic bets. Then we connect your approved data sources, set up your internal MCPs, and give teams governed tools to build with - custom GPTs, integrations, and workflow-specific copilots.
From there, we help you move naturally from internal automation to customer-facing automation: fully custom agents built with the Agent SDK, integrated with your systems, and extended with voice and live interaction through the Realtime API. This gives your teams the confidence to innovate quickly, while giving the organization the structure and oversight it needs.
Everyone says they “use AI” now. How do we use AWS Bedrock
and SageMaker to build AI features that actually differentiate our
product, not just match competitors?
Differentiation comes from how deeply AI is tied to your product's core value - not from using the same generic features everyone else ships.
Bedrock gives you reliable access to foundation models, and SageMaker lets you train and fine-tune models that reflect your data, workflows, and customer behavior.
We help you translate that into product advantage: running workshops to identify the use cases only your data can unlock, building early versions with Bedrock Agents, and moving high-impact ideas into custom models or fine-tunes on SageMaker.
We integrate them into your product through clear APIs, evaluations, and rollout patterns so what you ship is measurably better - faster answers, smarter recommendations, or new capabilities competitors can't copy.
The result is an AI roadmap tied to your product's strengths, not the industry's buzzwords