MERIVANT

You own technology, operations, product, or compliance for a business where AI is now on the roadmap. Your team has the domain expertise. What's missing is the depth of experience and implementation talent to make AI work without breaking what already works.

Maybe you're scoping your first projects. Maybe you're trying to unblock a stalled pilot. Maybe you're cleaning up after an implementation that outgrew the team that started it. Whether you run a 500-person enterprise or a lean, high-stakes team, you're not looking for AI experiments. You're looking for seasoned operators who've shipped and governed real systems before.

• You need AI that integrates with your actual systems, not a proof-of-concept that lives in a slide deck
• You operate in an environment where getting AI wrong has real consequences
• You have strong internal teams but need more AI experience and talent than you can hire quickly
• You've seen vendors promise transformation and deliver complexity
• You want a partner who has built and operated at scale, not just advised on it

Before Merivant, our founder spent 20 years inside the systems that run the world's largest organizations:

• $26M digital transformation delivered across cloud migration, microservices, and infrastructure modernization at Kaiser Permanente
• 275,000 users governed across Microsoft 365, SharePoint, Power Platform, and Dynamics 365
• 92% reduction in major incidents through governance frameworks and operational discipline
• 40% faster delivery via DevOps, CI/CD, and infrastructure-as-code
• $1.2B program support as a principal consultant for enterprise infrastructure modernization

And more recently:

• Turned a stalled AI prototype into a shipped, governed capability for a mid-size product team in under 12 weeks
• Built production AI governance frameworks for teams that had the ambition but not the in-house experience to do it safely

We bring that experience to every engagement, regardless of scale. Read the full story →

• Operate where getting AI wrong has real consequences, whether that's regulatory, financial, or reputational
• Have strong internal people but need more AI experience and talent than they can hire quickly
• Want AI that works alongside their teams, not a vendor that replaces them
• Value governance and operational discipline as much as innovation

Most of our clients are 500+ person enterprises. We also work with smaller, high-stakes teams when the complexity and consequences look like enterprise.