We map your company. Then we automate the work capping your growth.

We design automation on your specific goals and bottlenecks — not generic workflows. Every system is secured to SOC 2 standards and integrated with your existing operations rather than running parallel to them.

Map your entire company, control the data, leverage tasks across the org, then deploy a full AI automation strategy. The order is the point. Mapping first determines where automation creates real value and where it would only add cost — and it's where we decide which tasks genuinely need LLM-level reasoning and which can run on cheaper logic, which is what keeps your token spend from scaling with usage instead of value.

Timelines vary by scope. We build in phases — most clients see measurable results within the first 60–90 days of implementation.

A five-day working summit where we run the same four-step method on your real workflows, alongside your team. You leave with an AI readiness assessment, the AI Conductor map of your company, three to six working agents your own employees can supervise, a documented AI strategy, and a take-home kit of every playbook and template built during the week — plus 30 days of support and one follow-up call.

Both, deliberately. Pure training leaves your team with concepts and nothing running. Pure consulting leaves you with systems your team didn't build and doesn't fully understand. The Summit runs our four-step method on your real operation with your people in the room, so what gets built is production-ready and your team knows why every decision was made.

Both formats are available. Virtual is $21,000 for the five-day working format delivered remotely. In person is $75,000, with senior engineers on-site for full-immersion labs and an eight-seat minimum — travel is billed separately. A seven-day extended Summit is available and priced per engagement. The method and the deliverables are identical in both; the difference is immersion and where your team sits.

Usually not entirely. Once the map of your company exists, we can see which of your existing tools address a real bottleneck and which are paying for capability you don't need. Some get kept and connected properly for the first time, some get consolidated, some get cut. The point of mapping first is that these become evidence-based decisions rather than guesses — including the decision to keep something you already own.

SOC 2 compliance is a foundational design requirement in every system we build — engineered in from day one, not patched on after an audit flags gaps.

It integrates renewable and complementary energy systems with compute infrastructure to reduce costs, create additional revenue streams, and satisfy municipal and community requirements — turning data centers into profitable, community-aligned assets.

Both. We provide full architectural design for new AI data center projects and strategic consulting for existing developments, focused on aligning compute density with sustainable energy systems.

Manufacturing, logistics and freight forwarding, finance, professional services, and real estate development — any organization facing operational bottlenecks, growth ceilings, or infrastructure demands requiring AI-driven solutions.