AI AUTOMATION CONSULTANT
AI Automation Consulting for Teams That Need Production-Grade Systems
Practical AI automation without hype. Intake automation, workflow routing, AI-assisted research, and human-in-the-loop review systems built for production — not demos.
The Problem
Most AI automation solves the wrong problem.
Teams need practical AI automation without hype, magic claims, or vendor lock-in. Most AI tools solve the wrong problem or create new operational overhead.
Internal workflows are manual, repetitive, and expensive — but off-the-shelf automation tools do not fit the actual workflow.
AI coding tools generate code fast but without context about your codebase, your patterns, or your production constraints.
Best-Fit Buyers
Who this is for.
- Founders with manual workflows that need automation to scale
- Healthcare operators who need intake and routing automation
- Agencies that need internal AI tools for client delivery
- Engineering teams adopting AI coding tools who need safety and governance
What We Build
Production-grade AI automation systems.
Intake Automation
Automated intake processing that routes information to the right place — reducing manual data entry and response time without removing human judgment.
Internal Workflow Routing
Systems that route work to the right person at the right time, with AI-assisted triage and human-in-the-loop checkpoints.
AI-Assisted Research Systems
Internal tools that leverage AI for research, summarization, and information extraction — built for production use, not demos.
Human-in-the-Loop Review
Automation systems that keep humans in control of critical decisions. AI handles the repetitive work; humans handle the judgment calls.
AI Tooling Strategy
Practical guidance on which AI tools to adopt, how to integrate them, and how to measure whether they are actually saving time.
AI-Safe Development Systems
Codebase intelligence, pattern memory, and trust score systems that make AI coding tools safer for production codebases.
Proof
AI tooling built and shipped.
Vreko — AI Codebase Intelligence
Codebase intelligence platform born from a $12K AI coding incident. Pattern memory, trust scores, and fragile-file detection served to AI coding tools via MCP.
View case study →
AI-Safe Development Guide
A complete guide to using AI coding tools without destroying production. Covers the 5-layer safety framework, common scenarios, and enterprise governance practices.
Read the guide →
NEXT STEP
If you need practical AI automation built for production, start with a fit call.