March 5, 2026
30-Day Deployment: Myth or Method?
How we ship the first production AI workflow in 30 days — and why speed is a feature, not a risk.
The Promise
First workflow live in 30 days. Not a demo. Not a proof of concept. A production system your team uses daily.
Most firms hear this and think we are cutting corners. The opposite is true. Speed is the result of a disciplined process, not the absence of one.
Why 30 Days Works
Week 1: Scope
We sit with your team. Not in a conference room with a questionnaire — at their desks, watching how work actually flows. We identify the highest-leverage automation point: a workflow that is specific, repetitive, data-rich, and measurable.
Week 2: Build
Our engineers join your team, work in your codebase, and start shipping. Daily async updates. No disappearing into a black box for three months.
Week 3: Test
Expert-validated data and hundreds of real-world simulations through our proprietary testing platform. Every feature stress-tested before production. PhD advisors review quality and edge cases.
Week 4: Deploy and Optimize
Production deployment with monitoring, error handling, and human-in-the-loop validation. Continuous adjustment based on real usage data.
Why Speed Matters
Every week your team spends on a manual workflow that could be automated is a week of compounding cost. The discovery phases and strategy documents of traditional consulting are not just expensive — they are a competitive liability.
After Day 30
The first workflow is the beginning, not the end. Once your team sees AI working in production, the roadmap becomes obvious. We continue as a monthly partnership: optimizing existing systems, deploying new workflows, and expanding coverage.
Month-to-month. No contracts. We earn your business every month.