30/20 IES · OIA
The differentiator. When intent is built into the organization — not just the plan — outcomes scale like infrastructure: they compound, and they self-correct. OIA is how we encode leadership intent into the operating architecture, the people, and the systems that deliver it.
Intent set at the top cascades into the architecture, the behaviors, and the systems beneath it — and outcomes compound back up. Four layers, one continuous chain.
Layer 1
Strategy, priorities, and guardrails set at the top.
Layer 2
Rules, decision rights, and incentives that encode intent.
Layer 3
Roles, skills, and the actions teams take every day.
Layer 4
Automation, data, and execution at enterprise scale.
The strategy, foundations, and frameworks that make AI safe to scale — the upstream work that makes everything downstream compound.
A low-cost, high-velocity environment to prove value fast. Labs is where we pressure-test an AI moonshot, validate the intent behind it, and produce the evidence to scale — before a large commitment is made.
We translate executive vision into an operating architecture: the decision rights, rules, and incentives that encode intent so it survives the hand-off from boardroom to front line. This is the IT strategy and advisory discipline, evolved for an AI-native world and grounded in vendor-neutral judgment.
AI is only as trustworthy as the data and policy beneath it. We establish the data foundations, governance, and policy frameworks — plus the enablement to make them stick — that let an organization adopt AI without compounding risk.
The result: intent that compounds and self-corrects across the whole organization. Let's architect yours.