Mike Auerbach
Most companies do not start with an AI problem. They start with a business problem that got weird, slow, expensive, or too dependent on one person remembering everything.
How I think
AI fits into that system. It does not replace it.
Featured work
The part I care about is not that it produces an answer. The part I care about is that it can find weak work, stop, repair it, and keep a record of what happened.
Operating proof
This proves a working system and a serious evaluation habit. It does not prove enterprise deployment, revenue lift, team adoption, or customer impact.
What to read next
AI systems, workflow design, evaluation, governance, decision quality
I built a governed AI system for GTM decisions. It catches weak work, repairs it, checks whether the evidence is strong enough, and produces executive artifacts with citations, assumptions, risks, and approval points.
Positioning, messaging, product marketing, conversion systems, distribution
An evaluated company assessment using the GTM AI Council. It shows how business inputs become recommendations with evidence, assumptions, unknowns, risks, pilots, metrics, and an ROI view.
Regulated communication, complex products, trust, operating models, business systems
I shaped product, sponsor, education, presentation, entity, and financial-model materials for a trust-sensitive wealth-management product. The work was about suitability, proof burden, distribution, and regulated communication.
If the AI opportunity is still fuzzy, I would start with the system around it.