XTIVIA – ENTERPRISE AI SOLUTIONS
Enterprise AI, Engineered for Production
Generative, agentic, predictive — and the AI-accelerated engineering behind it all. XTIVIA delivers AI solutions that ship, on the secure, governed data and integration foundations we’ve been building for enterprises for over 25 years.
Targeted AI Capabilities for Modern Business
AI delivers value when it’s matched to a real business problem and grounded in trusted data.
These are the four practice areas where we ship production work — each built on the data engineering, integration, and governance foundations that enterprise AI actually requires.
Generative AI & Large Language Models (LLMs)
Focus:
- RAG (Retrieval-Augmented Generation)
- Private LLM Deployment
- Conversational AI & Copilots
Value:
Put frontier models to work on the knowledge trapped in your proprietary data. Securely.
Use Case:
A grounded “ask anything” assistant answering policy, product, and procedure questions in seconds.
Common Tools:
Azure OpenAI, Microsoft Foundry, AWS Bedrock, Claude, GPT, Gemini, Llama
Predictive Analytics & Machine Learning
Focus:
- Forecasting & Trend Analysis
- Anomaly & Fraud Detection
- Churn & Lifetime Value Modeling
Value:
Stop reacting to the past and start predicting the future. Turn historical data into actionable foresight.
Use Case:
Identify customer churn before it happens, or forecast inventory demand.
Common Tools:
Microsoft Fabric, Azure Machine Learning, Databricks, Snowflake Cortex, Power BI, MLflow
Agentic AI & Workflow Automation
Focus:
- Multi-step AI agents
- MCP servers connecting agents to your systems of record
- Document & process automation
Value:
Move beyond chatbots that answer questions to agents that take action — planning, reasoning, and executing across your systems.
Use Case:
Multi-agent agentic AI accelerators for departmental teams (sales, finance).
Common Tools:
Amazon Bedrock AgentCore, Copilot Studio, Microsoft Agent Framework, Strands Agents, Power Automate, AI Builder
AI-Accelerated Software Development
Focus:
- Intent-first development coupled with Spec-driven development
- AI-assisted code review, test generation
Value:
Compress delivery cycles without sacrificing quality. Our engineers use AI as a force multiplier across the SDLC — from greenfield builds to refactoring the legacy systems your team has been afraid to touch.
Use Case:
New applications, application upgrades/migrations, legacy modernization, data engineering.
Common Tools:
Claude Code, Codex, Kiro, Cursor, GitHub Copilot
Experts Standing By To Assist
with Your AI Solutions
Two Methodologies. One Goal: AI That Ships.
The XTIVIA “Data-First” Methodology
The XTIVIA Intent-First Development Methodology
For AI that learns from and acts on your enterprise data.
For AI-accelerated engineering that ships software faster, without sacrificing quality.
AI turns data into decisions faster than ever. Without governance, it turns bad data into bad decisions even faster.
Data-First is XTIVIA’s methodology for bringing quality, governance, and security into every dataset your AI models, agents, and analytics rely on.
AI generates code faster than ever. Without intent, it generates technical debt even faster.
Intent-First Development is XTIVIA’s methodology for bringing architectural intent, design decisions, and institutional knowledge into every AI-generated line of code.
Data Audit
Assess data readiness for high-quality, “clean” fuel for your models.
Intent-First Thinking
Capture architectural intent through collaborative AI design sessions — before any code is written.
Architecture
Design secure, scalable pipelines using cloud platforms
Documentation Artifacts
Turn decisions, assumptions, and constraints into a structured corpus that humans and AI can both consume.
Implementation
Deploy models, agents, and AI workflows into the systems your business already runs
Executable Intent
Distill conventions and architectural rules into active constraints the AI loads at the moment of generation.
Governance & Security
Embed evals, observability, and human-in-the-loop controls so AI behavior stays trustworthy, auditable, and aligned with policy.
Partnered Implementation
Practitioner, AI, and intent corpus working together — every generated line traces back to a deliberate decision.
Explore the Intent-First Development Methodology
AI generates code faster than ever — IFD makes sure it generates the right code. Dive into the full methodology, four pillars, and enterprise adoption guide.
XTIVIA AI Solutions: Addressing Key Questions
Data Privacy & Security
How does XTIVIA keep our data private when using LLMs and agents?
- Private deployments on Microsoft Foundry and AWS Bedrock with private endpoints and customer-managed keys
- RAG architectures keep proprietary content in your tenant — never sent to public model training
- Evals, prompt injection defenses, and audit logging built into every deployment
- Your data stays yours. Your agents act on it under controls you set.
Legacy System Integration
Can AI integrate with our existing legacy systems?
- Yes — XTIVIA’s 25+ years in integration and middleware is the foundation
- Boomi, MuleSoft, and MCP servers connect modern LLMs and agents to ERPs, mainframes, APIs, and line-of-business databases
- AI becomes an active layer over the systems you already run, not a parallel stack you have to feed
ROI & Business Value
Where does AI deliver measurable ROI?
- Cost avoidance through predictive maintenance, fraud and anomaly detection, and document automation
- Productivity gains from AI-accelerated software development and agent-driven workflows
- Revenue lift from churn prediction and faster customer response
- We start with a focused, instrumented pilot — and scale what the evals prove out
Accuracy & Trust
How do we know the AI is accurate and grounded?
- RAG with citations so every answer traces back to a source you can verify
- Eval suites measure accuracy, refusal behavior, and groundedness against your real-world test cases
- Human-in-the-loop for high-stakes actions; observability for everything else
- Models can be swapped or upgraded without re-validating from scratch
Ready to Transform? Talk to an Architect Today
“Gen AI got everyone excited. Agentic AI is what’s going to change how enterprises actually run. The companies that win won’t be the ones chasing the latest model or flashiest demos — they’ll be the ones with the cleanest data, the strongest integrations, and the discipline to measure what their AI is actually doing.”
Most Enterprise AI Stalls Before It Ships.
The reasons aren’t mysterious — unclear use cases, weak data foundations, no way to measure whether the AI is actually working. Our Enterprise AI Readiness Checklist covers the pillars our consultants use to benchmark every engagement: data quality, security, governance, evals, and ROI alignment.
Featured Insights & Innovation
Explore how XTIVIA is moving beyond theory to deliver high-impact,
ethical and autonomous AI solutions.
Automated PO Processing
Manual data entry is a bottleneck to growth. Learn how we leverage Microsoft AI Builder and Power Automate to transform unstructured purchase orders into structured data—reducing processing time by 80% and eliminating human error.
Beyond the Chatbot
Chatbots answer questions; AI Agents solve problems. Discover why the shift toward “Agentic AI”—systems that can plan, reason, and execute multi-step tasks—is the ultimate competitive advantage.
The Importance of Ethics in AI
Technical capability is worthless without trust. We dive into the critical pillars of AI ethics—including bias mitigation, data privacy, and transparency—and why a “Human-in-the-loop” approach is non-negotiable.
Our Customers
Let's Talk Today!
No obligation, no pressure. We're easy to talk with and you might be surprised at how much you can learn about your project by speaking with our experts.
XTIVIA CORPORATE OFFICE
304 South 8th Street, Suite 201
Colorado Springs, CO 80905 USA
Additional offices in New York, New Jersey, Texas, Virginia, and Hyderabad, India.
USA toll-free: 888-685-3101, ext. 2
International: +1 719-685-3100, ext. 2
Fax: +1 719-685-3400
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