Tag: <span>ai</span>

The last 30 days of your AI automation pilot are about turning an interesting experiment into a real, reliable workflow. In this final part of the 90-day framework, you’ll selectively turn on limited automation, watch it closely with clear guardrails, and compare new performance data against your original baselines. By Day 90, you’ll know whether to scale the pilot, refine it, or redirect your efforts—and you’ll have a repeatable playbook for future AI automation projects.

With your pilot scoped and designed, the next 30 days are about connecting real systems and learning from real work. In this second part of the 90-day framework, you’ll ship a read-only version of your AI automation, put it in front of a small group of users, and layer on suggested actions with human-in-the-loop oversight. The goal is a working pilot that behaves predictably, delivers visible value, and gives you the data you need to decide what to automate in the final 30 days.

Overwhelmed by “AI strategy” talk but unsure where to start? This post breaks the first 30 days of your AI automation pilot into three practical moves—confirm the outcome and scope, map the real process your team uses today, and design a minimum viable workflow you can safely test. It is a simple, execution-focused framework you can use to turn a promising pilot idea into a clear, testable plan with baselines, guardrails, and buy-in from your team.