Process
Discovery Call to Live Agent. 7 Days.
No sprints. No standups. No scope creep. We follow a tight, proven process that gets your custom AI agent from idea to production in one week.
01
Discovery Call
Day 1We learn your workflow, identify the highest-impact automation opportunity, and define exactly what your agent will do. You share your data sources, tools, and business rules. We scope the build.
02
Agent Architecture
Day 2We design the agent's logic — what it reasons about, what data it retrieves, what actions it takes. You approve the architecture before we write a single line of code.
03
Build & Train on Your Data
Day 3–5We build the agent using Claude, connect it to your data sources, and train it on your specific business context. Retrieval, reasoning, and action — all wired up and tested.
04
Test & Iterate
Day 5–6You test the agent with real scenarios. We iterate on edge cases, fine-tune responses, and ensure it handles your actual workflows correctly — not just demos.
05
Deploy & Go Live
Day 7We deploy to our managed infrastructure or your cloud. Your agent goes live with monitoring, logging, and a direct line to our team for the first 14 days.
After Launch: 14-Day Support Window
We don't disappear after deployment. For 14 days post-launch, we monitor your agent in production, handle edge cases that surface from real usage, tune response quality, and make sure the system works reliably — not just in testing, but with actual users and real data.
Ready to Automate Your First Workflow?
Book a 30-minute discovery call. We'll identify your highest-impact automation and scope a build — no commitment required.