Services / AI Consulting & Integration

AI Consulting & Integration

Most businesses don't need a research lab; they need a specific workflow automated or a specific piece of information surfaced faster. The work here is scoping AI to a real problem, then integrating it into the systems that already exist.

Scope of this service

  • Retrieval-augmented generation (RAG) design for internal knowledge bases
  • Agentic workflow design using frameworks like LangChain and LangGraph
  • LLM API integration into existing Java or Python backends
  • Model Context Protocol (MCP) integration for tool-using AI systems
  • Evaluation of build-vs-buy tradeoffs for AI features

How this engagement runs

SCOPE

Scope

Identify the specific workflow worth automating — and the ones that aren't.

PROTOTYPE

Prototype

Build a working version against real data, fast.

INTEGRATE

Integrate

Wire it into existing systems and authentication.

MONITOR

Monitor

Set up evaluation so quality doesn't quietly drift after launch.

Other services

Solution Architecture

System design and technology decisions that hold up once real traffic and real teams hit them.

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Cloud Migration & AWS Architecture

Moving workloads to AWS, and designing the account and network structure they land in.

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Java Software Development

Backend systems built on modern Java and Spring Boot, from greenfield services to legacy modernization.

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