A sensible way to estimate the return on an AI investment for an Australian business.
dgm is an independent osFoundry integration partner — not affiliated with osFoundry’s maker (OS LLC), and dgm has no completed client integrations yet.
Calculating the return on an AI project is not mysterious — it comes down to time saved, quality gained and cost avoided, measured against a baseline. Here is a sensible approach.
Set a baseline first
You cannot measure return without a starting point. Record how long the target task takes today, its error rate and its cost, before you deploy AI.
Measure the right things
Track time saved, quality (error or rework rate), and any cost avoided, against the baseline. Be honest about the AI’s running cost (usage, oversight) on the other side of the ledger.
Keep it realistic
The honest first return is usually time saved on a specific task, not a transformed P&L. osFoundry is a model-agnostic, bring-your-own-key (BYOK) AI orchestration platform — usage-based pricing with no per-seat fees, local-first and self-hostable, with per-region data pinning (US, EU or Japan) or deployment into your own cloud. makes usage cost visible so the ROI calculation is grounded.
Where dgm fits
dgm is an independent integration partner that helps Australian businesses adopt osFoundry — scoping a first use case, handling the build, and connecting AI to the systems you already run. dgm is independent of osFoundry’s maker (OS LLC) and has no completed client integrations yet, so everything described here is a service offered, not a past result. If you want to scope a practical first project, dgm can help you map it out.