AI / Machine Learning
We build AI-powered systems where intelligence is embedded into the application lifecycle itself rather than layered on top. Built on Azure OpenAI, Copilot Studio, and LLMs, our production-grade systems deliver reliability, observability, and measurable business impact.
AI-powered applications built on Azure OpenAI, Copilot integrations and LLMs with intelligence embedded into your products and workflows, not bolted on.
What we deliver
Each capability is a service we ship into production, not a slide.
Azure OpenAI & Copilot
Azure OpenAI and Copilot Studio for RAG, fine-tuning, and M365 integrations that support enterprise self-service.
Agentic AI Systems
Autonomous AI orchestrating tools, APIs and data across multi-step workflows end-to-end.
RAG-Based Chatbots
Retrieval-augmented chatbots grounded in your internal knowledge base, accurate, traceable, and policy-aligned.
Small Language Models
Compact models such as Phi and Gemma for offline or edge deployment in air-gapped environments, field services, and constrained devices.
Classic Machine Learning
Random Forests and Gradient Boosting for credit scoring, demand forecasting, and risk modeling, with interpretable and audit-ready outputs.
Speech Processing
Real-time transcription (ASR/TTS), sentiment analysis, compliance monitoring, voice-based automation.
What We Deliver
- AI strategy & high-impact use-case discovery
- Azure OpenAI and Copilot Studio integration
- RAG & vector-search architecture
- Model training, fine-tuning & evaluation
- Production deployment with monitoring & governance
Business Outcomes
- Faster, evidence-based decisions
- Automated intelligence embedded inside business workflows
- Audit-ready, interpretable predictions
- Measurable time saved & cost avoided
Key Strengths
- AI-powered from day one, not added after engineering is complete
- Unified team: data scientists, ML engineers and Azure architects
- Production delivery, not proof-of-concept handoffs
- Azure deployment on the platform your IT team already manages
The toolkit behind the work
Modern, proven tools, selected for what fits your problem, not for what's trending.
Foundation Models
Frameworks
Vector / RAG
Languages
MLOps
Speech
How we engage
Discovery Workshop
Identify 1–2 high-impact use cases aligned to business KPIs.
Rapid Prototyping
Build working prototypes on your real data with fast feedback loops.
Pilot & Validate
Measure time saved, cost avoided, accuracy gain, user adoption.
Scale & Optimize
Enterprise rollout with monitoring, retraining and governance.
Engineering with intent
AI-powered engineering is our approach to building systems where intelligence is embedded into the application lifecycle itself — not added as an afterthought. We leverage Azure OpenAI, Copilot Studio and LLMs to deliver conversational interfaces, intelligent workflows and context-aware systems grounded in your data.
Every initiative starts with a discovery workshop to identify one or two high-impact use cases tied to your KPIs. We prototype on your real data, measure baseline versus improvement, and only then scale to enterprise rollout, moving well beyond experimentation to production-grade AI.
Our delivery is grounded in MLOps, including versioning, monitoring, and clear ownership, so models keep working long after launch.
Ready to discuss AI / Machine Learning?
Send us a message and we'll help you define the right scope, timeline, and delivery plan.
Contact Usinfo@azistinc.net
Phone
+1 703-862-2922
Offices
US · India