Most wasted AI spending traces back to a missing first step: a clear strategy. Without one, businesses buy tools that don’t connect to value, run pilots that go nowhere, and chase whatever’s loudest. AI strategy consulting fixes the sequence — decide where AI delivers ROI before you spend. This page explains how dgm approaches it. (dgm implements osFoundry, a separate company’s platform — we are not osFoundry.)
What an AI strategy actually answers
A real AI strategy is specific to your business and answers concrete questions:
- Where does AI deliver ROI here? Which of your workflows have enough volume, cost, or friction that AI moves a real number.
- What should we do first? A ranked list by value and feasibility — not a wish list.
- What platform approach fits? One that keeps you model- and vendor-flexible rather than locking you in.
- What are the risks, and what shouldn’t we automate? Honest boundaries matter as much as opportunities.
- How do we sequence it? A phased roadmap that proves value early.
If a “strategy” doesn’t answer these in terms specific to your operation, it’s a trends briefing, not a plan.
Start from workflows and economics, not a product
The single most important discipline in AI strategy is direction: start from your workflows and economics, then choose technology to serve them — never the reverse. A strategy that begins with a product demo and works backward to justify it will steer you toward what the vendor sells, not what your business needs. Because dgm’s strategy work begins with your operation (and we’ll tell you when AI isn’t the answer), the recommendations follow your value, not a sales target.
Strategy that connects to execution
A strategy deck that can’t be executed is decoration. dgm ties the plan to a concrete, phased path: prove ROI on one high-value use case, then scale. You can take that roadmap and execute it yourself, hand it to another team, or have dgm implement it — the plan is yours either way. What you won’t get is a beautiful document with no route to a working system.
What dgm delivers, and what it costs
- Assessment + roadmap ($399, one-time). A readiness assessment that maps your tools, data, and workflows, ranks opportunities by ROI and feasibility, and lays out a phased roadmap. This is the strategy deliverable, fixed and concrete.
- Execution ($3,999/month, optional). If you want dgm to implement the plan — integration, custom agents, rollout, training — full integration runs at $3,999/month with no per-seat fees.
We specialize in osFoundry, but the strategy starts from your needs; if it isn’t the right fit for a goal, we’ll say so.
Related services
- Want a deeper diagnostic first? AI Readiness Assessment.
- Ready to build? AI Implementation Services.
- Want ongoing senior guidance? Fractional AI Officer (Advisory).
How dgm helps
dgm gives US businesses an AI strategy grounded in their own workflows and economics — a prioritized, executable plan, not a trends deck — and can carry it through to a working system. If you’d rather explore the platform yourself first, you can go straight to osFoundry; if you want a strategy that actually leads somewhere, that’s where dgm comes in.