Most AI projects fail because of organizational gaps, not technology gaps. We help leaders ship production AI — with a published framework, hands-on technical depth, and the practitioner experience to know what actually breaks.
Every engagement runs on the published Orchestration Maturity Framework. Whether you start with adoption strategy, capability enablement, or technical architecture, we’re measuring the same five pillars and stages.
Where you are on the readiness progression and what to do next. Diagnostic, strategy session, and 90-day roadmap. Reframes AI investment as capability development, not technology procurement.
The training, processes, and operational uplift that turn AI awareness into AI capability. Half-day workshops, leadership upskilling, and embedded support for teams shipping production AI.
Senior AI Architect work: model selection (Pick Your Model), secure RAG, LLMOps observability, agentic patterns. The technical layer that prevents the 80% failure rate.
A short version of the same diagnostic we use with paying clients. Submit your details and you’ll go straight to the audit — takes about 4 minutes, you’ll get a stage placement (Siloed / Integrated / Orchestrated) and a one-page read of where to focus next.
The framework powering every engagement is peer-reviewed and citable. Read the paper, or use it to make your own case for AI capability investment.
Global corporate AI investment hit $252.3B in 2024, yet only 6% of firms see significant earnings impact and 80%+ of AI projects fail. This paper introduces the Orchestration Maturity Framework drawing on systematic synthesis of 21 foundational sources and surveys of nearly 10,000 organizational leaders.
Read the framework breakdown →