Deliver up to 45% more productivity across core functions using Generative AI.
Nearly three-quarters of generative AI’s potential value lies in just four domains: customer operations, marketing and sales, software engineering, and R&D.
Helping Businesses Like Yours Succeed
Value of GenAI
Reports backed by McKinsey & Co and Bain
Industry Specific Use Cases
78% of businesses in 2025 use AI in one part of their business processes, a number steadily growing since 2023. – McKinsery
Generative AI is reshaping the way healthcare providers deliver patient care and streamline operations.
- Drug discovery acceleration by simulating molecules and predicting effectiveness
- Automated medical documentation to reduce physician admin time
- AI-assisted diagnosis from medical imaging and scans for faster, more accurate results
- Virtual health assistants to handle routine patient inquiries and scheduling
- Personalized treatment and care recommendations tailored to patient history
- Predictive analytics for early disease detection and population health management
Energy companies are using AI to keep the lights on and make power cleaner and cheaper.
- Predicts when turbines, grids, or pipelines will need maintenance before failures happen.
- Balances supply and demand in real time, reducing waste and keeping costs stable.
- Boosts efficiency for solar and wind farms by constantly tracking energy output.
- Makes sustainability reporting easier by turning messy data into clear insights.
- Helps design cleaner energy strategies by simulating different usage scenarios.
- Reduces downtime in oil and gas operations through predictive analysis and alerts.
AI is transforming both how cars are made and how people drive them.
- Helps engineers design and test innovative car models faster and with better accuracy.
- Spots small defects during manufacturing long before cars ever hit the road.
- Powers driver-assist and self-driving systems by simulating thousands of road scenarios.
- Personalizes in-car experiences — from routes to entertainment to maintenance reminders.
- Optimizes supply chain logistics to keep production running smoothly and efficiently.
- Improves after-sales services with predictive tools that flag repairs in advance.
Banks and financial firms are using AI to make money management safer and more personal.
- Flags fraudulent activity the moment unusual behavior shows up in an account.
- Suggests savings or investment options tailored closely to each customer’s goals.
- Speeds up loan approvals and compliance checks, reducing endless paperwork headaches.
- Handles routine questions instantly with chatbots, while passing complex ones to advisors.
- Analyzes huge financial datasets to forecast markets and identify smarter opportunities.
- Automates back-office workflows so teams can focus more on client relationships.
Telcos are leaning on AI to keep people connected and make service experiences smoother.
- Keeps networks running smoothly by adjusting automatically to heavy demand spikes.
- Predicts equipment breakdowns so technicians can fix issues before outages happen.
- Provides instant customer support through AI chatbots, while routing bigger cases smartly.
- Spots when a customer may be ready to leave — and offers personalized deals to keep them.
- Analyzes call data to optimize network coverage and improve service quality.
- Assists in planning 5G rollouts by predicting adoption trends and customer needs.
AI is helping teachers teach better and students learn in ways that work for them.
- Adapts lessons in real time, giving each student a personalized learning path.
- Saves teachers valuable time by auto-grading and generating detailed feedback.
- Offers 24/7 AI tutors that explain tricky concepts in simple, clear terms.
- Identifies early when a student might be struggling, so support comes faster.
- Creates interactive study materials tailored to different learning styles and speeds.
- Translates content instantly, helping classrooms become more accessible and inclusive.
Our formula for building the right product, that generates ROI and win hearts.
Discover
Identify Opportunities
We begin by mapping your current workflows, data sources, and pain points to uncover areas where GenAI can create measurable value.
From automating repetitive processes to enhancing decision-making, our team ensures every opportunity aligns with your strategic goals.
Assess Readiness
Once potential use cases are identified, we evaluate your data maturity, infrastructure, and organizational readiness.
This helps determine what’s feasible now and what needs to be developed for successful adoption.
Define Business Value
We quantify the potential ROI and impact of each opportunity through financial modeling and performance forecasting.
This allows you to prioritize high-value initiatives with confidence.
Deliverables
- Use case map
- Workflow analysis
- Data readiness report
- Technical constraints log
- ROI model
- Implementation roadmap
Design
Blueprint the Solution
We translate discovery insights into a tailored GenAI framework, choosing the right models, tools, and architecture.
Each design is purpose-built for your business challenges, not a one-size-fits-all template.
Rapid Prototyping
Our team builds a working prototype in under a week to demonstrate tangible value early on.
This stage helps validate assumptions, test performance, and gather real user feedback before scaling.
Integration Planning
We plan the integration pathway to ensure your
GenAI solution fits seamlessly into your existing systems, with clear attention to data security, governance, and compliance.
Deliverables
- Solution architecture
- Security overview
- Functional prototype
- Test summary
- Integration plan
- Data governance checklist
Deliver
Full Implementation
Once validated, we develop and deploy your GenAI solution into your live environment.
Our engineers handle integrations, automations, and API connections to ensure everything runs smoothly.
Performance Optimization
After deployment, we fine-tune the model and monitor outputs for quality, accuracy, and efficiency, making continuous improvements as your data and business evolve.
Enablement & Handover
Finally, we enable your teams with training, documentation, and support, ensuring they can operate and enhance the solution independently.
You get a fully functional, ready-to-integrate GenAI system, typically within 30 days.
Deliverables
- Deployed solution
- Deployment guide
- Performance report
- Monitoring dashboard
- Training sessions
- Handover package
Key Technologies We Work With
Here is what our business-driven + user-centered UX process looks like
Resarch
For development
For Cloud and infra
Let's map out a journey of success
Get in touch with our industry experts to discuss your vision and figure out a potential.
- NDA? Absolutely just ask.
- We’ll respond in 24 hours fast & focused.
- Work with seasoned experts.
Caroline Aumeran
Senior Project Manager at Airvon
Frequently Ask Question
What is Generative AI?
Generative AI is a technology that learns from data to create new things like original text, unique pictures, synthesized audio, new video content, or functional lines of code. It focuses on creation rather than just recognition.
How does Gen AI provide business value?
It adds value by reducing the time and cost of content creation and speeding up software development, creating realistic simulated data for testing and offering hyper-personalized customer responses.
What is a "hallucination" in Gen AI and how do you prevent it?
A hallucination is when a Gen AI model produces an output that is factually incorrect, nonsensical, or made up, presenting it as truth. We manage this by using grounded data sources (RAG) and implementing human review steps before deployment.
Can Gen AI be trained on my company's private data?
Yes. To ensure privacy and security, we set up solutions that isolate your data for training and fine-tuning. This ensures the model only learns from your proprietary information without risking its exposure to the public internet.
How do we choose the right foundation model (LLM) to start with?
The choice depends on the project’s needs. We look at task complexity, required speed, data sensitivity, and the budget. A smaller, custom-tuned model may be better for a niche task than a large, general-purpose one.
Is Gen AI secure to use for internal business processes?
Airvon puts security as a top priority. We implement strong access controls, encryption, and data masking to protect sensitive information both when it is used by the model and when it is stored.
Business Insights
Improving patient care is an initiative that all healthcare stakeholders
Improving patient care is an initiative that all healthcare stakeholders
Improving patient care is an initiative that all healthcare stakeholders
a global software engineering and technology consulting provider, proudly announces
