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Service

AI Agents & Workflow Automation

AI agents for document-heavy, judgment-heavy work, with human review, audit trails and measured accuracy built in.

Who it’s for

Operations teams buried in documents, emails and exceptions, and product teams adding AI features that have to work reliably for real customers.

What we do

  • Agentic workflows that read, extract, classify and draft, with ordinary code handling validation and business rules
  • Human-in-the-loop review for low-confidence results
  • Integrations with your systems of record, document stores and email
  • LLM applications on Amazon Bedrock and leading model APIs, behind your own interfaces so you can switch models
  • Audit trails recording inputs, model and prompt versions, outputs and human overrides

How we approach it

We start from one high-volume workflow, measure how it performs today, and build an evaluation set from real cases before writing the first prompt. Models handle the steps that need language understanding; code handles everything that can be deterministic. Nothing goes live without agreed accuracy thresholds and a path for uncertain cases to reach a person.

Relevant experience

  • Architected and deployed LLM applications and agentic workflows on Amazon Bedrock for consulting clients
  • Built TeamAgentAI, our own platform for auditable, human-in-the-loop AI workflows

Work led by our principal architect. Client names are withheld under confidentiality agreements.

Technologies

Amazon BedrockClaudeGeminiPythonTypeScriptAWS LambdaLLM evaluation

Next step

Tell us what you’re working on

Send a short description of your project or problem. You’ll get a reply from our principal architect within two business days, with an honest view on whether we’re the right fit.