For Enterprise
AI Transformation at Enterprise Scale, Without the Theater
Most enterprise AI stalls at the pilot. The challenge isn't a lack of tools, it's adoption across many teams under real constraints. I help leaders turn scattered experiments into coordinated, governed transformation that holds up at scale.
The Pressure
Dozens of pilots, competing tools, and legal, security, and risk all watching closely. Enterprise transformation isn't about a flashy demo. It's about change that works across thousands of people without breaking what already runs.
That work spans four areas where enterprises quietly lose momentum:
- Operating modelAI woven across many teams, not siloed pilots
- Governance & complianceguardrails that satisfy legal, security, and risk
- Change at scaleadoption across thousands, not a single lab
- Vendor & build strategycutting tooling noise into a coherent stack
How I work with enterprise leaders
Enterprise Readiness Assessment
Assess capability, data, governance, and risk across the organization. We map where AI can create real value, where the landmines are, and what has to be true before scaling anything.
Phased Transformation Roadmap
Translate ambition into a sequenced, funded, accountable plan. We define operating models, tooling, and governance phase by phase so adoption compounds instead of fragmenting.
Org-Wide Enablement
Embed change at scale through centers of excellence, internal champions, playbooks, and measurement, so AI becomes part of how the enterprise operates rather than a set of stranded pilots.
Where transformation pays off
Coordinated delivery
Replace dozens of disconnected pilots with a shared direction, so teams build on each other's progress instead of reinventing the same work.
Managed risk & compliance
Move quickly inside guardrails legal, security, and risk can stand behind, so speed never comes at the cost of trust or exposure.
Durable capability
Build internal muscle, not dependence on a single vendor or consultant. The organization keeps improving after the engagement ends.
Measurable efficiency at scale
Tie transformation to outcomes the business can see, so investment in AI shows up in real efficiency across the enterprise.
Who this is for
This work is built for senior enterprise leaders: the CTOs, CIOs, and transformation and innovation heads accountable for AI across complex, regulated organizations. It is equally built for the program and practice leads who own the reality of making adoption work across many teams, systems, and stakeholders.
Why work with me
I've run the organization, building, scaling, and exiting product organizations used by millions.
I'm Jeff Soto, a product and technology executive with over 16 years building digital products. I founded Tendigi, a mobile studio acquired by Work & Co, where I led engagements for Google, the NBA, Netflix, and the PGA Tour.
As CTO at Mosaic Group (IAC), I ran a 160-person organization across 50+ consumer apps reaching 15M people a month, culminating in a $160M acquisition. Today, through EVNN, I help teams bring AI-native thinking to how they build, ship, and operate.
Ready to make enterprise AI real?
Whether you're setting the transformation strategy or accountable for delivering it, let's map a plan that scales across how your organization actually works.
Start a Conversation