AI Solutions & Intelligent Automation

Practical LLM integrations and workflow automation grounded in engineering discipline.

Service Overview

We integrate AI capabilities into business workflows using providers such as OpenAI and Google Gemini, alongside Google service integrations where they fit the use case. Our approach is engineering-first: structured prompts, deterministic validation, and human review where accuracy matters.

Business Problems Addressed

›High-volume document processing that's done manually
›Repetitive classification or routing tasks
›Knowledge buried in unstructured documents or emails
›Workflows where AI can augment (not replace) human judgment

Engineering & Solution Approach

We treat AI as a component in a larger engineered system—not a standalone product. Each integration includes schema-enforced output validation, deterministic fallback logic, and measurable accuracy criteria defined before deployment.

Key Deliverables

✓Document ingestion and structured data extraction pipelines

✓LLM-powered knowledge assistants and internal search

✓Business workflow automation with AI decision nodes

✓Google APIs and service integrations

✓Human-in-the-loop review queue integration

✓Prompt engineering, schema enforcement, and output validation

✓Monitoring and observability for AI pipeline behavior

Engagement Considerations

We scope AI projects around specific, measurable use cases. We do not build general-purpose AI assistants without a defined operational context.

Technology Stack

OpenAI APIsGoogle Gemini APIsGoogle APIs & service integrationsOther compatible LLMsClaude Code (engineering workflow)PythonTypeScriptLangChain (where appropriate)PostgreSQLRedisREST & Webhook integrations

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