Delivering the Value of Artificial Intelligence

96.6 yd

World record · paper airplane distance · December 2022

The challenge didn’t change. The expertise did.

A sheet of A4 paper in untrained hands travels a few feet. In the hands of Boeing aerospace engineers — 400 hours of preparation, computer simulation, and deep domain expertise — that same sheet flew nearly the length of a football field. The difference was not the tool. It was the expertise applied to it. The same principle governs AI.

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The Expertise Multiplier

Expertise fundamentally changes what is achievable

In December 2022, three aerospace engineers from Missouri University of Science & Technology set a Guinness World Record with a paper airplane. Their plane — the “Mach 5,” inspired by hypersonic vehicles — flew 96.6 yards — nearly the length of a football field.

They did not use special materials. A4 paper, maximum regulation weight. What they brought was expertise: computer simulations to determine the optimal 40-degree launch angle, 400–500 hours of prototyping over six months, and careers spent engineering vehicles that actually fly.

The record they broke had stood for ten years. And they broke it by more than ten meters — not incrementally, but decisively, because expertise does not produce marginal improvements. It produces step-change results.

“AI is available to everyone. What determines whether it produces incremental noise or transformational results is the expertise applied to it — expertise in your mission, your people, and your architecture.”

96.6 yd
World Record Distance
December 2, 2022 · Crown Point, Indiana · Dillon Ruble, Nathaniel Erickson & Garrett Jensen
400–500
Hours of Preparation
Computer simulation, aerodynamic modeling, and iterative prototyping over six months — applied to a sheet of paper
+11 yd
Margin of Victory
They did not edge past the previous record — they shattered a 10-year-old mark by more than 30 feet. Expertise does not produce incremental improvements.
3
Aerospace Engineers
Deep domain expertise, applied to the simplest possible tool. The same combination that transforms AI investments.

Our Perspective

AI is a different kind of technology. It requires a different kind of expertise.

AIexpertise™ was founded on the insight that AI is fundamentally different from any technology we have managed before. Its ability to mimic human reasoning makes it more powerful, harder to understand, and more disruptive than anything that came before it.

That disruptive potential cuts both ways. Deployed without the right expertise, AI produces risk, waste, and unmet expectations. Deployed with deep expertise — in the mission, the architecture, the people, and the tools — it produces results that are otherwise simply not achievable.

A focus on the people using and affected by AI ensures that the potential of these technologies is understood, integrated into strategic planning, ethically deployed, and ultimately delivering all the value they are capable of.

Federal agencies, commercial enterprises, and defense organizations are all racing to adopt AI. Most will deploy it. Few will realize its full value. The difference is not access to AI tools — those are increasingly commoditized. The difference is the expertise applied to translate AI capability into mission outcomes.

We serve as trusted senior advisors to CIOs in commercial and public sector organizations, helping them align IT strategy, organizational design, governance, and workforce; enhance user experience; avoid costs; improve security posture; increase performance; make higher-quality decisions; and operate within compliance guidelines.

AIexpertise™ can help you achieve game-changing improvements across all of these domains — by applying the right combination of AI tools, architectural thinking, and people-centered strategy.

What We Do

Five ways we deliver the value of AI

We focus on the people-centric aspects of AI adoption — the assessment, planning, prioritization, management, evaluation, and communication that determine whether your investment achieves its mission goals.

01

Assessment

A rapid, structured review of how ready your organization is to identify, fund, develop, and implement AI tools and solutions. We evaluate your current architecture, governance, workforce readiness, and strategic alignment — and give you a clear picture of where you stand and what it will take to move forward.

02

Business Case & ROI

Identifying and quantifying the benefits, costs, and risks of AI opportunities, and establishing the baseline for accountable investment. We translate AI potential into the financial language that drives decision-making and builds executive confidence — including the architecture and governance costs that most analyses ignore.

03

Strategic Plan

Integrating AI opportunities into your IT strategy, enterprise architecture, ITSM, and TBM processes. We ensure that AI adoption is not a set of isolated pilots but a coherent, sequenced program aligned to your mission and your existing investment portfolio — and governed to deliver sustained results.

04

AI Pilots & Program Management

Defining requirements, supporting stakeholder engagement, managing technical progress, and embedding organizational learning. We structure and oversee AI pilots and programs to generate real evidence, manage risk, and build the institutional knowledge that makes AI investments self-sustaining over time.

05

Workforce Support & Strategic Communications

Making sure the workforce is prepared, trained, and informed to ensure successful AI implementations. The best AI systems fail when people are not ready to use them. We design the change management, training, and communications strategies that make adoption real — and build the human capability that sustains it.

Mapping the Value of AI

AI capabilities applied to your highest-value outcomes

The table below maps six foundational AI capability classes against seven organizational outcome domains. We help you identify where your highest-value opportunities lie — and build the strategy, governance, and execution plan to realize them.

Outcome Domain Agentic Orchestration Prompt Optimization AI Loop Development AI Artifact Management Intelligent Process Optimization
Workforce
User Experience
Cost Reduction
Security
Performance
Decision-Making
Compliance
Indicates a demonstrated, high-value application of this AI capability class to this outcome domain. We help you prioritize which intersections matter most for your mission.

Leadership

Expertise at the intersection of AI, architecture, and mission

KF

Ken Farber

Chief Executive Officer
ken@aiexpertise.com (617) 512-2006 aiexpertise.com

Ken Farber brings more than 20 years of consulting leadership to AIexpertise™, transforming how federal, state, and local agencies serve citizens. His career spans CEO, COO, and Vice President roles, and he has led consulting teams of 100+ professionals across federal transformation programs totaling $2.5B+.

He has delivered modernization initiatives for more than ten major agencies — including NOAA, the Library of Congress, USAID, the IRS, DHS, DOJ, and NASA — combining deep expertise in workflow automation, AI-powered decisioning, and digital transformation with executive-level advisory skills. Ken holds dual graduate degrees from MIT (Technology and Policy; Nuclear Engineering), is a Georgetown-certified Change Management Advanced Practitioner, an AWS Certified AI Practitioner, and holds an active TS/SCI clearance.

His contrarian but well-supported position — that “AI challenges all of our assumptions, which is an opportunity to reimagine our world” — reframes the conversation in a market saturated with AI vendors and short on implementation wisdom. The real value of AI is not in automating what we already do. It is in rethinking what is now possible.

Ken serves his government partners as a trusted senior advisor — helping leaders break down silos, improve operational efficiency, and achieve citizen-focused outcomes at enterprise scale. He is the principal author of four industry-recognized ATARC reports on AI governance and policy that have influenced federal AI adoption and compliance frameworks.

MIT · Technology & Policy MIT · Nuclear Engineering TS/SCI Clearance Georgetown CMAP AWS Certified AI Practitioner Enterprise Architecture AI Governance Federal & Defense

Thought Leadership

Published perspectives on AI governance and policy

Ken Farber is the principal author of four industry-recognized reports on AI governance and policy, produced in partnership with the Advanced Technology Academic Research Center (ATARC) — influencing federal AI adoption and compliance frameworks.

ATARC2024

Generative AI: Promise and Peril

Risk frameworks for the responsible deployment of generative AI in the enterprise. Addresses how organizations can capture the transformative potential of generative AI while managing the novel risks it introduces — from hallucination and data governance to security and accountability.
ATARC2023

Exploring AI Personhood and Policy

An analysis of the emerging governance implications of increasingly autonomous and human-like AI systems. Examines the policy questions raised as AI capabilities advance, and the frameworks organizations and regulators will need to address them responsibly.
ATARC2022

AI and Data Analytics Guidebook

An operational framework for AI and data analytics adoption that has been adopted by federal agencies. Provides practical, actionable guidance for translating AI and analytics strategy into implemented capability within the federal operating environment.
ATARC2022

From Ethics to Operations: Federal AI Policy

An assessment of federal AI compliance requirements and the gap between high-level ethical principles and operational implementation. Provides guidance on translating AI ethics directives into the concrete governance structures and processes that federal programs actually need.

Get in Touch

Start the conversation

Wherever you are in your AI journey, we are ready to support you.

You may be curious about AI’s potential for your organization, or well down the path of intelligent automation and looking for a more rigorous approach. Either way, a conversation costs nothing — and expertise compounds.

ken@aiexpertise.com
(617) 512-2006
aiexpertise.com