AI and Machine Learning Development Services That Run in Production
AI is easy to demo and hard to productionize. A chatbot that looks impressive with three test questions can fall apart the moment a real customer asks something unexpected. A predictive model that scores well on a clean dataset can degrade the moment production data drifts from what it was trained on. That gap is exactly what our AI and machine learning development services close real machine learning consulting services and AI and ML development services grounded in evaluation and monitoring, not a demo that falls apart in front of a real customer.
We build AI that keeps working after the demo. Grounded data, tested behavior, and real monitoring engineered by people who understand both machine learning and production software, not just how to call an API.
AI and Machine Learning Development Services Avion Technology Delivers
We provide end-to-end AI and machine learning services from initial strategy through model development, deployment, and long-term monitoring.
AI Strategy & Opportunity Assessment
- What it is: Evaluating your business, data, and goals to identify realistic, high-value AI use cases.
- Benefits: A clear, honest roadmap instead of guessing where AI will actually help.
- Ideal for: Businesses exploring AI and unsure where to start.
- Expected outcome: A prioritized use case roadmap and implementation plan.
LLM & Generative AI Integration
- What it is: Integrating large language models (OpenAI, Anthropic, and others) into your product or internal tools.
- Benefits: Conversational, generative, and reasoning capabilities added where they genuinely improve the experience.
- Ideal for: Businesses wanting AI assistants, content generation, or intelligent automation.
- Expected outcome: A working, grounded LLM feature integrated into your systems.
Retrieval-Augmented Generation (RAG) Systems
- What it is: Building systems that ground AI responses in your actual documents and data at query time.
- Benefits: Accurate, current answers instead of hallucinated or outdated information.
- Ideal for: Businesses wanting AI search or assistants over internal knowledge.
- Expected outcome: A RAG pipeline connecting your data to reliable AI responses.
Custom AI Agent Development
- What it is: Building autonomous or semi-autonomous agents that complete multi-step tasks using your tools and data.
- Benefits: Automation of complex workflows that go beyond a single question-and-answer exchange.
- Ideal for: Businesses wanting AI that takes action, not just answers questions.
- Expected outcome: A working agent with defined scope, tools, and guardrails.
Predictive Analytics & Machine Learning Models
- What it is: Building custom ML models for forecasting, churn prediction, scoring, and classification from your data.
- Benefits: Forward-looking insight based on your actual historical patterns, not guesswork.
- Ideal for: Businesses with historical data they want to use for prediction.
- Expected outcome: A trained, validated model integrated into your decision-making process.
Computer Vision Development
- What it is: Building image and video recognition systems for classification, detection, and quality inspection.
- Benefits: Automated visual analysis at a scale and consistency manual review can’t match.
- Ideal for: Businesses with visual inspection, classification, or recognition needs.
- Expected outcome: A trained computer vision model integrated into your workflow.
Natural Language Processing (NLP)
- What it is: Building systems for text classification, sentiment analysis, entity extraction, and summarization.
- Benefits: Automated understanding and structuring of unstructured text at scale.
- Ideal for: Businesses processing large volumes of text, reviews, or documents.
- Expected outcome: A working NLP pipeline integrated into your systems.
Document AI & Intelligent Automation
- What it is: Automating data extraction from invoices, forms, contracts, and other documents.
- Benefits: Eliminated manual data entry and faster document processing.
- Ideal for: Businesses with high-volume, repetitive document handling.
- Expected outcome: An automated extraction pipeline with human review for edge cases.
Fine-Tuning & Model Customization
- What it is: Fine-tuning existing models on your specific data and use case for better performance.
- Benefits: Improved accuracy and consistency for specialized tasks general models handle poorly.
- Ideal for: Businesses with a narrow, high-volume use case where off-the-shelf models underperform.
- Expected outcome: A customized model tuned to your specific requirements.
MLOps & Model Deployment
- What it is: Building the infrastructure and pipelines to deploy, monitor, and retrain models reliably.
- Benefits: Models that keep performing in production instead of silently degrading.
- Ideal for: Businesses moving from a prototype model to a production system.
- Expected outcome: A deployed model with monitoring, versioning, and retraining pipelines.
Data Pipeline & Feature Engineering
- What it is: Building the data pipelines that feed your models clean, current, well-structured data.
- Benefits: Models that are only as good as their data, built on a reliable foundation.
- Ideal for: Businesses whose data isn’t yet structured for machine learning.
- Expected outcome: Automated, reliable data pipelines feeding your models.
AI Rescue & Optimization
- What it is: Assessing and rebuilding an underperforming or poorly engineered existing AI system.
- Benefits: A working, trustworthy AI feature without abandoning a stalled project entirely.
- Ideal for: Businesses with a live AI feature that’s giving poor results or was rushed to launch.
- Expected outcome: A properly grounded, evaluated, and monitored rebuild.
Managed AI Services & Ongoing Refinement
- What it is: Building the data pipelines that feed your models clean, current, well-structured data.
- Benefits: Models that are only as good as their data, built on a reliable foundation.
- Ideal for: Businesses whose data isn’t yet structured for machine learning.
- Expected outcome: Automated, reliable data pipelines feeding your models.
How Avion Technology Will Build Your AI/ML Solution
We follow a structured, transparent process so you always know what’s happening and what’s next.
Phases
Deliverable
Discovery & Use Case Selection
We identify the highest-value, most realistic use case for your business and data.
Data Assessment
We audit your available data for quality, completeness, and suitability for the use case.
Architecture Design
We choose the right approach — LLM, RAG, traditional ML, or hybrid — and design the system.
Development
We build the model, pipeline, or AI feature with grounding and evaluation built in.
Evaluation & Testing
We test against realistic scenarios and edge cases before launch.
Deployment
We deploy with monitoring, cost controls, and guardrails in place from day one.
Launch & Monitoring
We watch real usage closely after go-live to catch issues early.
Ongoing Refinement
We continuously improve accuracy, cost, and behavior based on real-world performance.
What Your Business Gains With AI/ML From Avion Technology
AI that actually works in production
grounded, evaluated, and monitored, not just impressive in a demo
Automated manual work
document processing, research, and repetitive tasks handled without human effort
Forward-looking insight
predictions and forecasts built on your own historical
data
A product that stays competitive
AI features that genuinely improve the experience, not AI for its own sake
Predictable AI costs
architecture designed to control spend as usage scales
Fewer surprises after launch
monitoring that catches drift and failure before
customers do
An honest partner
clear guidance on where AI will and won’t genuinely help your business
A system that keeps improving
ongoing refinement instead of a set-and-forget
deployment
Why Avion Technology
19+
Years of Experience
1.9k+
Projects Completed
500+
Clients Satisfied
40+
Technology Experts
“We configure the specific modules and capabilities that match your operations not a one-size-fits-all setup.”
DynamicsCon 2025 is this incredible event, where the Microsoft Dynamics 365, Dynamics GP, and Power Platform communities come together for a truly educational, engaging and unforgettable experience.
~ DynamicsCon 2025
FAQs
Your AI & Machine Learning Questions, Answered
Yes. Avion Technology designs, builds, deploys, and monitors AI and machine learning systems for our clients, handling the full lifecycle from strategy through production support.
We work two ways: building AI features into your product (like assistants, recommendations, or document processing) and applying AI internally to automate your own operations (like data entry, search, or forecasting). Most engagements involve some of both, depending on your goals.
LLMs are well suited to language understanding, generation, and conversational tasks. Traditional machine learning is often better for structured prediction, like forecasting or classification from historical data. We choose based on the actual problem rather than defaulting to whichever is trendier.
Retrieval-augmented generation (RAG) grounds an AI system’s responses in your actual documents and data retrieved at query time, which significantly reduces hallucination compared to relying on a model’s general training alone.
Yes. We regularly assess underperforming AI projects, identify the root cause, typically insufficient grounding, evaluation, or guardrails, and rebuild them properly.
Yes. We integrate LLMs, build custom models, and design AI features that plug into your existing application and workflows.
Both. We integrate LLMs and existing AI services where appropriate, and we build custom machine learning models from your data when a bespoke model is the better fit.
We ground the system in your real, current data through retrieval-augmented generation where relevant, build structured evaluation before launch, and design clear fallback behavior for when the system is uncertain.
Yes. We build document AI systems that extract data from invoices, forms, and contracts automatically, with human review built in for low-confidence cases.
Yes. We build and validate machine learning models for forecasting, churn prediction, scoring, and classification
based on your actual historical data.
Phone
+1 (224) 209-9860Address
1600 McConnor Parkway,
Suite 125, Schaumburg, IL 60173
Schedule a free consultation
Phone
+1 (224) 209-9860Address
1600 McConnor Parkway,
Suite 125, Schaumburg, IL 60173