ZOAK Consulting

We build the operating systems behind impossible growth.

Part consulting firm, part venture studio. ZOAK designs AI-native services, company brains, growth engines, and frontier operating models for teams ready to move beyond incremental work.

Growth systems +120%

Pipeline lift target. For context, the BCG × HBS field study found AI-assisted workers completed 25% more tasks, 25% faster — but only when workflows were redesigned, not just tooled. HBS, 2023

AI workflows +75%

Throughput lift target for research, reporting, and operating loops. McKinsey reports only 6% of enterprises attribute ≥5% of EBIT to AI — workflow redesign is the gap. McKinsey, 2025

Venture theses 16

Frontier company directions across AI-native services, defense, agriculture, medicine, and space — explored in our insights library.

The thesis

94% of enterprises aren't seeing significant value from AI. The problem isn't the model. It's the workflow.

McKinsey's 2025 Global AI Survey found that 88% of organizations use AI in at least one function, but only 6% attribute meaningful EBIT impact. Gartner predicts 60% of AI projects will be abandoned through 2026 for lack of AI-ready data. We think the failure is organizational, not technological — and that's the gap we close.

McKinsey, 2025 · Gartner, 2025

0%
of organizations use AI in at least one function
0%
attribute ≥5% of EBIT to AI initiatives
0%
of GenAI projects abandoned after proof-of-concept
0%
of organizations feel governance-ready for AI regulation

Venture studio theses

We are not only advising the future. We are looking to build parts of it.

The AI consulting market is growing at 26–29% CAGR, projected to exceed $90B by 2035. But most of that growth will go to firms that build operating capability, not slide decks. ZOAK is developing company ideas across AI-native services, knowledge systems, defense, supply chains, and space.

Business Research Insights, 2025

Company brain

A living operating memory for every team.

42% of institutional knowledge lives solely with the person in the role. When they leave, it leaves. We're building systems that make that knowledge queryable, executable, and durable. HCI Research

42%
Knowledge loss risk
AI-native services

Service firms that sell outcomes, not hours.

The BCG × HBS study showed consultants using AI produced 40%+ higher-quality output. But for tasks outside the AI frontier, they were 19% less accurate. The skill is knowing the boundary. HBS, 2023

+40% -19%
Inside frontier Outside frontier
Dynamic interfaces

Software that reshapes itself around the job.

Average SaaS core feature adoption is 24.5%. 20–30% of features account for 80% of user activity. The next interface won't have features — it'll assemble around intent. Product analytics

24%
Core feature
adoption
Frontier ops

Infrastructure for weird, physical, high-stakes work.

The Pentagon's FY2027 budget requests $75B for drone and autonomous warfare programs — a 24,000%+ increase for the Defense Autonomous Warfare Group year-over-year. The operating software for these systems doesn't exist yet. Breaking Defense, 2026

24,000%
YoY Budget Increase

The work

Where strategy, AI, analytics, and growth execution meet.

Most companies do not fail because they lack ideas. They stall because strategy, data, tools, and daily operating behavior are disconnected. We rebuild that system as one integrated machine.

01

Executive strategy

Market choices, operating model design, growth priorities, decision rights, and implementation sequencing.

02

AI-native operations

Automation maps, AI workflow design, knowledge systems, data governance, and team adoption plans.

03

Growth architecture

Positioning, demand systems, digital marketing operations, analytics, and experimentation cadence.

Carbon-minded delivery

Modular, measurable, and built for teams that need clarity.

Our engagements are structured around visible workstreams, clear ownership, and operating artifacts your team can keep using after the engagement ends.

Time allocation
Diagnosis
25%
System design
35%
Build + deploy
30%
Measure + iterate
10%
Delivery phases
Discover Design Deploy Measure Iterate Refine
Operating leverage model
Signal network

Client work

Public where permitted. Stealth where required.

Most client work remains confidential by design. We describe the operating patterns, not the logos: clearer strategy, faster workflows, stronger measurement, and AI-native execution.

Key performance metrics

Engagement benchmarking

Data-driven outcomes tracked across ZOAK's operating system deployments.

+180%
Pipeline lift
+52%
Throughput
+74%
Decision speed
60–90d
Measurement period

Stealth portfolio results

+180% pipeline lift · +52% throughput · +74% decision speed

Anonymized outcomes from engagements across professional services, B2B SaaS, and healthcare data. Each metric is measured against the client's own pre-engagement baseline over 60–90 day periods.

+52% Throughput
+74% Decision speed
Explore work themes

Engagement shapes

Choose the level of operating help your team needs.

We scope work around the decisions and systems that have the highest leverage, then move quickly from diagnosis into implementation.

Strategy sprint

Two to four weeks to define priorities, map constraints, and produce a board-ready execution roadmap.

2–4 Weeks to roadmap
Book a sprint

Build engagement

Six to twelve weeks to design and deploy workflows, dashboards, AI systems, and growth operations.

6–12 Weeks to deployment
Scope a build

Operating partner

Ongoing advisory and implementation support for teams managing transformation or rapid growth.

12+ Months continuous support
Discuss partnership

Next step

Tell us the system you need to make better.

Describe the growth, AI, or operating problem in front of your team. We'll respond with a practical diagnostic — not a sales pitch.

Live thesis model

Signals we track across strategy, AI, geopolitics, and operations.

Execution lift +68%
Policy volatility +44%
AI energy pressure +73%
Frontier readiness index