Time to a useful PoC?
Three to four weeks for something your team can test in internal production.
Applied AI Integration
RAG, conversational chatbots, tool-calling agents and unstructured data ingestion, on Azure OpenAI, OpenAI, Anthropic and other providers with Semantic Kernel and LangChain.
Runs on Azure, AWS, GCP or your current infrastructure. I suggest what makes the most sense for your case.
Back to servicesWhen you call me in
Your company has data, knowledge and repeating processes, but off-the-shelf chatbots don't fit and SaaS providers don't understand your domain. Azure OpenAI, OpenAI, Anthropic or another. I pick based on the case.
What I deliver
RAG with embeddings and a vector store sized for your volume
Ingestion pipelines (PDF, spreadsheet, voice, email) with traceability
Answer evaluation and regression (golden set + metrics)
Prompt, cost and PII guardrails with observability
Typical stack
- Azure OpenAI
- Semantic Kernel
- LangChain
- FastAPI
- Document Intelligence
- Pinecone/Postgres pgvector
Frequently asked
OpenAI direct, Azure or another provider?
I pick based on the case: Azure OpenAI when the client already runs on Azure and wants centralised compliance, OpenAI direct for simplicity, Anthropic when the model matters. Selection is by cost/quality evaluation, not hype.
What about token cost?
It's part of scope. Model selection is by cost/quality evaluation, not hype.
How do you measure quality?
Versioned golden set + sampled human review + feedback telemetry.