Enterprise AI Consulting
Most AI programs stall between the strategy deck and production. Our leadership has shipped on the other side of that gap, at enterprise scale, for fifteen years.
Our leadership’s track record
Industries served
What We Do
Every AI engagement reduces to the same three decisions. Most firms sell you the first one and leave before the other two get hard.
An honest readiness assessment across technology, data, and team, then a phased roadmap built around the handful of use cases that clear their own cost.
Vendor and platform evaluation from leadership that has sat on both sides of the table, having built alliances with the major cloud and CRM platforms.
Self-service that contains the interaction instead of routing it. Designed and instrumented against containment and satisfaction, not activity metrics.
Track Record
Our own advisory work in energy, and results our leadership delivered in prior roles.
Energy · Yeich Consulting
Three U.S. utilities each needed customer-facing digital capability moving faster than their internal roadmaps allowed.
AI-enabled self-service introduced at two of them. Digital initiatives, data governance, and data strategy advisory at the third.
IT Services · Leadership, prior role
A $1.8B IT services provider needed its AI portfolio to behave like a revenue engine rather than a collection of pilots.
Scaled 43% year over year, directed by a global team of 9 direct and 45 indirect reports across product, business analysis, data science, and AI engineering.
Customer Experience · Leadership, prior role
Industry bot containment sits near 20%. Deflection that low leaves the cost structure of a contact center essentially untouched.
Roughly four and a half times the industry average, alongside an NPS of 80 held across the portfolio for three consecutive years.
Healthcare · Leadership, prior role
Five pharmacies supporting roughly 12 billion prescription doses a year, under active CMS and ACA regulatory change.
Delivered by streamlining internal processes, with fulfillment timeframes improved more than 75% through targeted technology deployment.
Our Approach
Audit readiness across technology, data, and team capability, and map where value actually sits in your business rather than in the category.
Run the buy, build, or partner assessment. Shortlist vendors, model ROI per use case, and put a phased roadmap and its milestones in writing.
Lead the build through architecture, integration with the systems you already run, testing, and production release with documentation your team owns.
Instrument against containment, satisfaction, and cost. Stay engaged past launch, enable the team, and identify the next wave as maturity grows.
About Us
Yeich Consulting exists for the gap between an AI strategy deck and a system in production. We help enterprises decide what to buy, what to build, and what to leave alone, then stay through deployment.
Leadership
Founder & President
Phillip founded Yeich Consulting after nearly a decade leading product and portfolio management for AI at a $1.8B IT services provider. There he directed nine direct and forty-five indirect reports, set a four-product portfolio on track for $400M in 2023 revenue, and cut incident resolution costs by 90%. Earlier he delivered $35M in annual savings at a Fortune 100 pharmacy. He holds an MBA, MIT's Artificial Intelligence Business Strategy certificate, and a Six Sigma Master Black Belt, and served in the U.S. Army's Military Police Investigation Command.
Leadership Credentials
Certification
Massachusetts Institute of Technology
Certification
Process engineering and operational quality
Education
Bellevue University, Omaha, NE
Education
University of Texas at San Antonio
Service
Military Police Investigation Command, decorated
Get in Touch
Whether you are scoping a first AI initiative or trying to get an existing one into production, the first conversation is free and specific. Bring the problem, not the RFP.
Or reach out directly: pyeich@yeichconsulting.com LinkedIn