Mike Healy

An MIT report covered by Computerworld found that 95% of corporate AI projects fail — not because the technology doesn't work, but because they're managed like traditional software projects. AI projects are fundamentally data projects — 80% data problem, 20% functionality — and they require a data-first, iterative methodology. That's where I come in.

Credentials purpose-built for managing AI initiatives:

• PMI Certified Professional in Managing AI (PMI-CPMAI) — the PMI certification built on CPMAI, a vendor-neutral, data-first methodology extending CRISP-DM with AI/ML-specific processes, agile data practices, and DataOps. Six iterative phases from Business Understanding through Model Operationalization, the Five-Layer Trustworthy AI Framework, and Seven Patterns of AI.
• PMI Agile Certified Practitioner (PMI-ACP) — agile instincts to adapt when reality shifts and keep delivery on track

Whether it's a new AI initiative that needs a solid launch plan or a struggling project that needs someone to step in and get it back on track — the difference between the projects that fail and the ones that deliver is how they're managed. Data quality, governance, and pipeline issues compound across phases. Proofs of concept trained on unrealistic data never translate to production. CPMAI addresses this with data-specific iterations, quality gates, and pipeline governance at every phase.

Healy Computer Systems has been delivering technology solutions since the 1990s. Most recently that meant six years at AppZen, an AI-powered finance automation platform — designing integrations, pre-sales solutioning, and facilitating customer success during implementation. Before that, payment systems, defense software, and enterprise data across HP, EDS, Orbital Sciences, Intel, and American Express.

If your AI initiative needs a launch plan, a better architecture, or someone to step in and get a struggling project back on track — that's what Healy Computer Systems does.