Method
How I put AI into operations, in four steps.
I put AI into operations in four steps: diagnosis, plan, implementation and monitoring. I map how the work happens, define for each task who decides, who executes and who checks, get the first AI routines running, and watch what comes out before it reaches the customer. The initial rollout takes 30 days, and the team ends up deciding only what matters.
1. Diagnosis
I map the operation: where the work happens today and which parts AI can execute. Support, content, finance and engineering are the most common starting points.
2. Plan
For each task, three roles need a name: who decides (always a person), who executes (a person or an agent) and who checks before it ships. The plan is that split, written for your team.
3. Implementation
I get the first AI routines running. The agent executes what was agreed, and the team stops spending time on what already has an owner.
4. Monitoring
The agent can execute without asking, but it doesn't decide without someone knowing, and someone checks what goes out before it reaches the customer. I built Arroway because of this: the team's decisions live in one place that every AI reads before acting, and what an AI proposes only counts once a person approves it.
Frequently asked questions
- How long does it take to put AI into operations?
- Rolling out the first routines takes 30 days.
- Who is this method for?
- Businesses that want to automate and gain efficiency, in areas like support, content, finance or engineering.
- Who decides when AI executes the work?
- Always a person. The agent can execute without asking, but it doesn't decide without someone knowing.