Go-live is not the finish line. For an industrial manufacturer, it's the moment the org stops being a project and becomes a living system that will drift, bloat, and break unless someone tends it deliberately.
Treat the backlog as a product, not a bug list
After go-live, requests pour in, a field here, an automation there, a report someone needs by Friday. Handled reactively, they turn the org into a patchwork within a year.
Treat the enhancement backlog as a product with priorities, tradeoffs, and a person accountable for the whole, rather than a queue of one-off tickets. The difference between an org that ages well and one that decays is usually whether someone was steering the backlog or just working it.
Watch the limits before they bite
Industrial orgs accumulate automation, integrations, and data quickly, and Salesforce governor limits, storage, and API caps are patient right up until they aren't. A flow that was fine at launch can start timing out as volume grows; an integration can hit its daily limit during a busy period.
Monitor the leading indicators, automation performance, API consumption, storage growth, so you find the ceiling in a report, not in a production outage during month-end.
Keep data quality from eroding
Data quality is highest the week after go-live and declines from there without active maintenance. Duplicate accounts, half-filled records, and stale data creep in through daily use and imperfect integrations.
Build in the unglamorous routines, dedupe rules, required-field discipline, periodic cleanup, because every report, forecast, and automation sits on top of this data. An org with clean data and modest features beats a feature-rich org built on a swamp.
Manage change so users aren't ambushed
An industrial sales and ops team depends on the org working the way it did yesterday. Changes pushed without warning, even good ones, erode trust and generate support load.
Use a sandbox, test against real scenarios, and tell users what's changing before it lands. The technical work of a change is often the easy part; the harder discipline is rolling it out so the people who rely on the org aren't surprised by it.
Keep the automation understandable
Over time, orgs accumulate layers of flows, rules, and the occasional bit of legacy code, often built by different hands. When no one can say what fires when, every change becomes risky and every bug takes days to trace.
Periodically consolidate and document the automation, retire what's unused, and keep the logic legible. An org you can reason about is one you can safely change; an org that's a black box is one everyone's afraid to touch.
Right-size the ongoing support
Some manufacturers over-invest in a large internal team for an org that needs steady, part-time attention; others starve a complex org and watch it decay. Match the support model to the org's real complexity and rate of change.
Enough to steer the backlog, watch the limits, and keep data clean, without building overhead the org doesn't warrant. The goal is a system actively maintained by the right amount of the right attention, not neglected and not over-staffed.
The takeaway
A healthy org after go-live is the result of steady, deliberate care: a steered backlog, monitored limits, defended data quality, disciplined change management, and legible automation, supported by a team sized to the org's real needs. None of it is glamorous, and that's the point. The manufacturers who treat their org as a living system they maintain get years of value from it; the ones who treat go-live as the finish line spend those years fighting decay instead.