Azure AI
Generative and agentic AI on Microsoft Azure — from proof-of-concept to permission-aware, production-grade solutions grounded in your data.
I architect, build, and operationalize AI applications on Azure AI Foundry and Azure OpenAI — grounded in your data, aware of your permissions, and hardened for production.
What I help with
Stop guessing whether AI will work for your use case
A working proof-of-concept wired to your real data in weeks, not quarters — so you can see the answer before you commit to a program.
Get answers grounded in your content, with citations
Retrieval-augmented generation on Azure AI Search — hybrid and semantic ranking, tuned to your documents, with sources users can click through and verify.
Let AI take real actions in your systems — safely
Agents with tool integrations that read and write to your line-of-business systems, behind explicit approval gates and full audit trails.
Show each user only what they’re allowed to see
Permission-aware retrieval using Entra ID and existing RBAC — no more accidental data crossing between departments, customers, or tenants.
Turn stacks of documents into structured data you can trust
Azure AI Document Intelligence combined with LLM validation for invoices, contracts, forms, and scanned records — with exception handling for the ones that need a human.
Reconcile records across systems without an army of analysts
Automated matching, comparison, and resolution across ERPs, CRMs, and spreadsheets — humans review only the ambiguous cases.
Some Azure AI things I work with
Azure AI platform: Azure AI Foundry, Azure OpenAI, Azure AI Search (semantic, vector, hybrid), Azure AI Document Intelligence, Azure AI Content Safety, Azure Speech, Microsoft Copilot.
Patterns: retrieval-augmented generation (RAG), knowledge-base grounding and citations, prompt engineering and system instructions, AI agents and tool integration, multimodal AI, multilingual conversational apps, AI workflow orchestration and intelligent automation.
Enterprise concerns: permission-aware enterprise AI, human-in-the-loop approval and exception handling, document validation and information extraction, automated record reconciliation, evaluation harnesses, guardrails, observability, cost management.
Build stack: Python (FastAPI, LangChain, Azure SDKs), C#/.NET (Semantic Kernel, Azure.AI.OpenAI, Azure AI Foundry SDKs), AI proof-of-concept development and architecture.
Can you help me with...
Describe your project and AI will answer if Lone Peak can help you. This is not a contract, quote, or commitment to provide services.
How I engage
1. Discovery
I start with the use case, the data, and the users — identifying the shortest path to measurable value and the guardrails your organization requires.
2. Prototype
I build a working prototype quickly, wired to your data, so you can experience the solution and course-correct early.
3. Production
I harden the solution — grounding, guardrails, observability, security, cost controls, evaluation — and hand off with the runbooks and skills your team needs.