OPERATIONAL SERVICES | FREE CHECKLIST
Most MDM projects are judged on whether the launch went smoothly. The ones that actually succeed are judged on what happens in the 24 months after. This checklist covers both, including how to govern the AI now showing up in your support and monitoring stack.
A go-live date feels like the end of an MDM project. It isn’t. Incidents, training gaps, and unclear ownership show up in the weeks after launch, and how you handle them determines whether the system earns trust or gets quietly worked around.
This checklist, written by Infoverity’s Operational Services Group, lays out exactly what to put in place before, not after, that happens.
The checklist walks through the 8 things every MDM team needs post-launch:
That last one is new to this revision, and it’s quickly becoming a gap for data leaders. Teams are already piloting AI-assisted monitoring and support, often faster than governance frameworks can keep up.
If you’re a CDO, CIO, or Head of Data heading into (or just past) an MDM go-live, this gives you a working checklist to hand to your team, not another framework to translate into action yourself.
Samantha Wade, Associate Director of Infoverity’s Operational Services Group, wrote this checklist from direct experience supporting MDM programs after launch, where the technology is only part of what makes the project stick.
Get the checklist ➡️ Eight steps. One PDF. Everything your team needs to plan for after go-live.
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