Accelerating Scalable Enterprise AI Solutions
At Velocity AI, our expertise is helping global organizations operationalize AI rapidly from strategy to deployment—across any platform. We build, integrate, and orchestrate AI systems that are secure, compliant, and built to deliver measurable ROI.
PARTNERED WITH THE LEADING AI CLOUD PROVIDERS
Deploy and manage secure, scalable AI infrastructure across Azure, AWS, and GCP to support production-grade AI systems.
Implementing services in Azure OpenAI, AWS Bedrock, Google Vertex AI, etc.
Cloud orchestration and deployment pipelines
Data and API integration with enterprise systems
Monitoring, cost management, and reliability
Design and implement AI agents that automate workflows across marketing, sales and operations to increase speed and reduce manual effort.
Conversational assistants and CRM agents
Automated marketing and lifecycle programs
Operational agents for tasks and routing
Cross-team workflow analysis and automation design
Design and build tailored software solutions that embed AI directly into your workflows and customer experiences.
Full-stack application design and development
Embedded AI capabilities and automation
Integration with enterprise platforms and data
Ongoing enhancements for evolving business needs
Define how AI fits within your organization through a clear strategy, governance, structure, and the evaluation of technologies that support your goals.
Enterprise AI roadmaps and adoption plans
Governance frameworks and operating models
KPI and measurement strategy
Technology evaluations and platform recommendations
Improve how your brand is represented, discovered, and understood across generative platforms such as ChatGPT, Gemini, and Claude.
Website content optimization for generative visibility
Multi-model testing across leading LLMs
Model Context Protocol (MCP) implementations
GEO strategies and content implementation
Turn enterprise data into predictive and real-time intelligence that supports confident decision-making.
Predictive analytics and forecasting models
Executive dashboards and performance tracking
Data unification and automated summarization
Trend detection and insight generation
Enterprise AI Services That Unlock Momentum
Whether your ecosystem runs on Microsoft Azure AI Foundry, AWS Bedrock, OpenAI, or Google Vertex AI, Velocity AI builds, integrates, and orchestrates enterprise-level AI systems that are secure, compliant, and built to deliver measurable ROI.
GLOBAL IMPACT, MEASURABLE RESULTS
500M+
Users engaged via AI Agents
10x
Higher engagement via AI-powered experiences
80%
Reduction in manual processes with AI automation
See how our clients use AI to automate marketing, boost productivity, design faster, and gain sharper insights.
Ensuring Compliance While Empowering Marketing for Financial Consultants
Velocity developed an AI-powered compliance tool integrated into Canva, enabling financial consultants to create marketing materials faster and with confidence. The solution automates content reviews, and ensures full regulatory compliance.
⦿ 50% faster compliance reviews
⦿ 99% accuracy across all submissions
Transforming Automotive Dealerships with Conversational AI
Velocity partnered with Kia to enhance online customer engagement and streamline the vehicle buying journey. The AI solution helps users find the right car, browse inventory, and explore financing options — all through natural, personalized conversations.
⦿ 10× higher engagement on Kia websites
⦿ 6× increase in lead conversions
Giving Voice to the FIBA Basketball World Cup Mascot Through AI
Velocity developed an AI-powered Agent for FIBA to enhance fan interaction during the Basketball World Cup 2023. The multilingual assistant delivered real-time updates, handled thousands of conversations simultaneously, and brought the event’s mascot to life through natural, engaging dialogue.
⦿ 73K+ fans engaged in the first 2 weeks
⦿ 70%+ successfully automated interactions
We Work With Brands Who Aren’t Afraid To Move Fast
Unlocking Enterprise AI Together with Our Trusted Cloud Partners
Answering some real questions from our clients
CTO of a Fortune 500 asks,
-
A: 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.
A recent message from the Head of Cybersecurity,
-
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.
A text from the Head of Digital,
-
A: 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.
During a recent strategy meeting The Head of Innovation wanted to know,
-
A: 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
Ready to Accelerate Your AI Journey?
Talk with an AI strategist and discover how we can transform your business with intelligent automation and scalable solutions.