Berk Technologies · AI strategy for healthcare & PE-backed leaders

AI strategy that changes how teams deliver.

I help healthcare and PE-backed organizations modernize platforms, adopt AI-native delivery, and strengthen technology leadership. I can work with your existing organization, bring experienced specialists, or assemble a senior-led delivery team around the mandate.

Fractional CTO leadership · AI transformation · Healthcare delivery capacity

Russ Berkun, principal
Russ Berkun, principal
01

4×

engineering throughput

AI-native delivery at Zelis Healthcare, with 10× improvements on specific delivery tasks.

02

$10.6B

Oak Street Health · CVS Health acquisition

Fractional CTO through Emerging Technologies; supported growth from 17 clinics to 150+.

03

$375M

IPG · Evolent Health acquisition

Fractional CTO through Emerging Technologies; part of the leadership team through modernization and growth.

What I bring

01

Technology leadership and modernization

Fractional CTO leadership, platform decisions, and responsibility for delivery—from strengthening an existing organization to leading a defined technology function.

02

AI-native delivery and enterprise knowledge

Team-owned AI context that improves delivery, connected to enterprise knowledge that supports product, platform, and business decisions.

03

Healthcare delivery teams

Experienced developers, data specialists, and QA professionals who can strengthen your team or work as a senior-led delivery group.

Why AI stalls

Most AI efforts stall between the pilot and the team.

A pilot proves that a model can produce an answer. It does not prove that a team can deliver differently.

No shared context

AI starts each task without the decisions, constraints, relationships, and delivery patterns the organization already knows.

No place for learning to land

Lessons from delivery, review, and production remain in people’s heads, tickets, and chat instead of becoming reusable knowledge.

No trustworthy path to autonomy

Security and IP concerns can stop adoption before it starts. Agents need approved data paths, least-privilege access, and review before they can act reliably.

That makes AI adoption a leadership and operating-model problem, not a tool rollout. It takes platform decisions, team practices, and the right people moving together.

The path is not pilot → agents. It is pilot → shared context → AI-native delivery → managed agents.

Start with the mandate

Leadership, AI adoption, or delivery capacity

Where the direction is unclear, a 3–4 week AI Strategy Diagnostic sets priorities and a 90-day sequence.

How an engagement works

Selective by design

A few clients at a time.
If the mandate is real, we should talk.

Discuss your mandate