Advancingtheadoptionofartificialintelligenceacrossenterpriseoperations.

A standardized framework that helps enterprises find where AI applies, assess their readiness, build the capability of their people, and implement it where it delivers measurable business value.

Enroll your company

The Foundation Workshop

One day that turns what executives have heard about AI into what they have seen it do.

Executives work at moderated tables through four sessions. Each leaves with a readiness profile of their own company and a commitment card on a first case. Both instruments run in the browser on the NEAP platform.

The Program

NEAP accelerates the adoption of artificial intelligence across the private sector, bringing industry, academia, government and the business community together.

Through a standardized framework, enterprises evaluate where AI applies to their operations, assess their readiness for it, develop the capability of their people, and implement it where it produces measurable business value. Companies move through NEAP in cohorts, on a shared calendar.

01

Industry

The enterprises that carry the economy

02

Academia

The universities that supply its talent

03

Government

The institutions that lend it standing

04

Community

The networks that carry it forward

The outcome

  1. 01A more competitive private sector
  2. 02A more capable workforce
  3. 03A stronger national ecosystem for artificial intelligence

Modus Operandi

Five phases. One cohort at a time. Each phase prepares the decisions the next one asks for.

Phase I of V

Foundation

The cohort's executives are brought to a working understanding of artificial intelligence: what it is, what it does, what it costs, and what it demands of an organization.

What happens
Structured sessions convene the decision-makers of each company in the cohort: owners, executives, and the people whose judgment directs the organization. They reach a common baseline on the capabilities of current AI systems, their limits, their economics, and the organizational conditions they require. NEAP begins at the top of each company deliberately, because adoption is decided there before it happens anywhere else.
What it produces
A cohort of leadership teams that speak one language about AI and are equipped to make the decisions the following phases will ask of them.
Who delivers
The NEAP team.

Readiness Index

The NEAP Readiness Index measures whether a company has the conditions artificial intelligence requires, and gives every result a defined path forward.

Twelve dimensions, five pillars, four levels. Completed by a company's executives in fifteen to twenty minutes, with a readiness profile and a path at the end.

Foundation Curriculum

The Foundation Workshop. Four sessions, one day, run at moderated tables on each executive's own company.

Session I

The State of the Technology

What AI has become, demonstrated live. The session sets the working vocabulary of the day, puts live demonstrations at its center, and gives the executive one rule for sorting work between machines and people.

Session modules

  1. 1Automation, AI, and What Changed
  2. 2Generative Systems
  3. 3Agents, Properly Defined
  4. 4Paper Becomes Data
  5. 5An Agent at Work
  6. 6Where It Fails
  7. 7Sorting the Work, and the Human in the Loop

Learning outcomes

  • Explain what automation, AI, language models, and agents are, and how they differ.
  • State why a confident answer is not a verified answer.
  • Name operations in their own company these capabilities touch.
Session II

AI Inside the Enterprise

The technology at work inside companies comparable to the cohort's own, in sector, size and operating environment. Failures get equal standing with successes: the difference between the two is the most useful thing an executive carries into the afternoon.

Session modules

  1. 1What Adoption Actually Looks Like
  2. 2Cases That Paid
  3. 3Cases That Produced Nothing
  4. 4The Difference Between the Two
  5. 5Cost of Inaction

Learning outcomes

  • Read an adoption case through a fixed schema: operation, intervention, result, condition.
  • Name the conditions that separated cases that paid from cases that produced nothing.
  • Explain the cost of inaction as a business outcome.
Session III

Readiness

The lens turns inward. Each executive scores their own company on the NEAP Readiness Index, live in the browser, answering from memory of real events rather than intention, and leaves holding a profile, a band, and what both mean for the afternoon.

Session modules

  1. 1The Conditions AI Requires
  2. 2Scoring the Company
  3. 3Reading the Profile
  4. 4What the Band Means
  5. 5Responsible Deployment

Learning outcomes

  • Score their own company on the twelve dimensions of the Readiness Index.
  • Interpret a profile: the band, the shape behind the average, the weakest dimension rule.
  • Assign responsibility for automated decisions: what is verified, who signs off, who answers.
Session IV

The Operational Matrix

The center of the day. Each executive runs the NEAP Operational Matrix on their own operations, live, with facilitators moving between tables. Six steps: list, filter, score, map, break down, commit.

Session modules

  1. 1The Rules of the Instrument
  2. 2Listing the Candidates
  3. 3The Four Filters
  4. 4Scoring What Survived
  5. 5The Map and the Choice
  6. 6Taking the First Case Apart
  7. 7The Commitment Card

Learning outcomes

  • Run their own candidates through the four filters and defend the ones that fall.
  • Choose within their band cap, and explain why the first case is the most feasible, not the biggest.
  • Write a complete commitment card: owner, metric, baseline, target, stop condition.

Fellowship

NEAP connects universities, their graduates and enterprises. Graduates build real experience inside the companies that need it.

01

NEAP Fellows

Graduates of partner universities, trained in practice, who serve on real enterprise implementations and build professional experience on the job.

02

Partner universities

Partner universities contribute graduates, students and alumni networks to NEAP.

03

Students

Students join the workshops and the implementation teams, working on real enterprises and real deployments.

Team

The founders. Four co-founders who run NEAP and work alongside each cohort.

  • Jalal Harb

    Jalal Harb

    Co-founder

  • Hussein El Hajj

    Hussein El Hajj

    Co-founder

  • Kareem Assaf

    Kareem Assaf

    Co-founder

  • Bilal Zahalan

    Bilal Zahalan

    Co-founder

For enterprises

Enroll your company in the next cohort.

Tell us about your company. The NEAP team will follow up with the cohort calendar and what NEAP asks of a participating company.

For institutions

Become a partner.

Universities, public institutions, development and ecosystem partners each hold a defined role in the consortium.

Contact the NEAP team