Where is your business on its AI journey — and what’s the right next move? An AI maturity model answers both, mapping the stages from scattered experiments to AI embedded across operations. Here’s the model, and how dgm helps you advance. (dgm implements osFoundry, a separate company’s platform — we are not osFoundry.)
The stages
- Ad hoc. Scattered, unmanaged experiments — individuals trying tools with no strategy. Common, and a fine place to start from.
- Piloting. A deliberate first use case with clear metrics (see how to run a successful AI pilot).
- Integrated. AI connected to real workflows and delivering measurable value — not a demo.
- Scaled. Multiple use cases across functions, with consistent adoption.
- Embedded. AI is part of how the business operates, with governance and continuous improvement.
How to tell where you are
Look honestly at today: random tools and experiments (ad hoc), a deliberate pilot (piloting), AI integrated into real workflows delivering value (integrated), multiple use cases across teams (scaled), or AI woven into operations with governance (embedded). Most businesses are earlier than they’d like — which is fine; the point is knowing the next step.
How to advance
Advance one stage at a time, through proven wins — not leaps. Each stage builds the data foundation, skills, governance, and confidence for the next. Trying to jump from ad hoc straight to embedded skips the proof and capability-building that make maturity durable. (See AI implementation roadmap.)
How dgm helps
dgm meets you at your stage — a $399 assessment places you and identifies the next step, then $3,999/month implementation moves you forward (piloting, integrating, scaling) with governance and training, no per-seat fees. If you’d rather explore the platform yourself first, go straight to osFoundry; if you want to advance your AI maturity deliberately, that’s where dgm comes in.