AI Document Drafting and Review: Production-Ready SolutionsAI Document Drafting and Review: Production-Ready Solutions
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Custom AI Agents for Compliance-Heavy Workflows
Production-ready AI agents that draft, review and route documents in regulated environments. Built on Claude and GPT with domain-specific guardrails.
I build AI agents for operations where getting it wrong has real consequences — legal, financial, or regulatory. These aren't chatbots. They're production systems that execute multi-step workflows with the kind of guardrails that compliance-heavy teams actually need.
What "agent" means in my work A focused, task-specific system that:
Takes structured or semi-structured input
Runs through a controlled multi-step reasoning process
Executes actions (write, retrieve, validate, route)
Includes escalation paths for edge cases
Produces auditable output with traceable reasoning
Typical engagements
Contract and document review agents: extract obligations, flag risks, compare against playbooks
Procurement and RFP drafting agents (my specialty — see DocLicit case study)
Internal policy Q&A agents with strict grounding in source documents
Intake and triage agents for operations teams drowning in unstructured requests
How I work Typical engagement is a 2-4 week sprint. Week 1: deep workflow mapping, define success criteria, identify the critical failure modes. Weeks 2-3: build, test with real documents, iterate. Week 4: deploy, hand off, and document for the team. Most clients see the first meaningful output within 10 days.
Background: I built and shipped an LLM system for public procurement that reduced document creation time from 3 days to 30 minutes. That's not a thought experiment — it's running with paying municipal clients today.
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