Industries
ZOAK works across complex sectors without making public client lists the center of the story. The focus is the operating problem.
Service firms where 60%+ of billable work is research, reporting, or production. The BCG × HBS study proved a 25% speed gain and 40%+ quality lift for tasks inside the AI frontier — but a 19% accuracy drop outside it. We redesign the delivery model to know the boundary.
Teams building acquisition systems where attribution, experimentation, and offer architecture need to function as a single loop. Gartner reports 60% of AI projects are abandoned for lack of data readiness — our growth system work starts with data architecture, not campaign spend.
The FDA has authorized 1,450+ AI/ML-enabled medical devices, with 295 cleared in 2025 alone — 76% in radiology. But 97% enter via 510(k), not rigorous clinical trials. Organizations need research workflows that produce lifecycle evidence, not demo-quality outputs.
Average SaaS core feature adoption is just 24.5%. 35% of licenses go unused. Feature bloat drives ~40% of product abandonment. We help companies sharpen positioning, simplify the product surface, and use behavioral data to focus development on what actually drives retention.
42% of role-specific knowledge lives solely with the individual. When they leave, it leaves. Replacement costs run 50–200% of annual salary. We build firms that turn expertise into repeatable delivery, AI-supported research, and durable client operating routines.
70–80% of government digital initiatives fall short of their goals. Data silos (cited by 51% of agencies as a top blocker) and low AI confidence (only 20% of government employees feel "very confident") create stalled programs. We help mission-driven teams build systems that survive the implementation gap.
Sector fit
ZOAK is best suited for teams with messy handoffs, underused data, unclear growth motion, or AI experiments that need to become operating capability.
Discuss sector fitLive thesis model