AI systems are living infrastructure, not static deliverables. That is why build-and-abandon consulting models struggle to sustain value.
The build-and-abandon trap
Teams launch AI workflows and move on. Over time, data context shifts, quality declines, and internal teams are left with systems they cannot evolve.
The continuous model
A managed operations cadence retrains and tunes workflows based on live outcomes. This creates compounding intelligence and stronger performance each cycle. That is what Forge Run does after a build: monitoring, daily output checks, SLAs, and model upgrades, on a monthly retainer scoped to the system.
The key question for any AI partner: what happens after launch?
Why this matters
If optimization is not part of the model, value usually decays. Ask any prospective partner who watches the system in month six, and what number they watch.