The metrics that actually tell you whether a business AI project is working.
dgm is an independent osFoundry integration partner — not affiliated with osFoundry’s maker (OS LLC), and dgm has no completed client integrations yet.
How do you know whether a business AI project is working? The right metrics keep it honest. Here is what to measure in a Hong Kong business.
The metrics that matter
Time saved on the target workflow, error or rework reduction, adoption (are people actually using it?), and any service or revenue improvement — against cost.
Vanity vs real metrics
Number of queries or ‘AI-powered’ features are vanity metrics. Outcomes — time, errors, adoption, satisfaction — are what matter.
Reviewing and adjusting
Set the metrics before you build, review after the pilot, and adjust or stop based on the result. 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 or deployment into your own cloud.
Where dgm fits
dgm is an independent integration partner that helps Hong Kong 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.