Architectural Abstract Background
FROM JARGON TO JUDGMENT

Lead AI With Clarity and Confidence

Practical executive education for leaders who need to evaluate AI proposals, challenge assumptions, and turn AI initiatives into measurable business outcomes.

Designed for executives and business leaders. No coding or technical background required.

Registration opens for the next cohort in Q4. Join the waitlist to be notified.

BUILT FOR REAL-WORLD AI DECISIONS

Learn From Someone Who Has Built AI at Scale

Practical guidance grounded in the realities of leading teams, managing investment, and delivering measurable business impact.

Leadership at Scale

Led 50+ scientists and engineers and managed a $20M+ portfolio.

Business Impact

Supported business outcomes contributing to $1.3B in EBIT.

Proven Innovation

Named inventor on U.S. patents in computer vision.

SELECTED ORGANIZATIONS AND INSTITUTIONS

CVS Health
The Hartford
NobleAI
Yale University
Thomson Reuters
The Jackson Laboratory

Choose the Right Learning Experience

Start with the flagship executive cohort, build a foundation in a one-day workshop, bring a private decision to Office Hours, or arrange a learning experience for your organization.

LIVE EXECUTIVE COHORT

AI Judgment for Business Executives

A four-week live learning experience for leaders who need to evaluate AI opportunities, ask sharper questions, and guide cross-functional teams with confidence.

Live online
Designed for executive schedules
Recordings available
Hosted on Maven

Best for

Executives, business leaders, product leaders, and transformation teams responsible for approving or overseeing AI initiatives.

Expected outcomes

  • Identify when an AI proposal lacks a credible business case
  • Challenge vendor and internal assumptions before approving an investment
  • Recognize delivery risks before a pilot loses momentum
  • Define measurable outcomes for an AI initiative
  • Align business, data, engineering, and executive teams around shared success measures
ONE-DAY WORKSHOP · MAVEN
BUILD FOUNDATIONAL KNOWLEDGE

Foundations in AI for Business Impact

A focused introduction for business leaders who want a practical understanding of AI without technical jargon, coding, or unnecessary theory.

Live online
Designed for executive schedules
Recordings available
Hosted on Maven

Expected outcomes

  • Discuss AI priorities with technical teams using a shared vocabulary
  • Recognize where an AI project sits in its lifecycle
  • Ask vendors and internal teams questions that reveal missing assumptions
  • Connect AI activity to a practical business-value hypothesis

One Day Commitment - 4 hours

Maven Guarantee

Explore the Foundations Workshop
PRIVATE ADVISORY
3 SESSIONS · 45 MIN EACH

Private AI Office Hours

Bring a real AI decision and get focused, private advisory time with Dr. Saira Kazmi to work through a current proposal, pilot, vendor decision, leadership challenge, or AI investment.

Best for

Executives and senior leaders facing an active decision that cannot wait for a future course.

Use the sessions to

  • Pressure-test an AI proposal or investment
  • Prepare for a vendor or executive review
  • Identify missing questions, risks, and assumptions
  • Assess whether a pilot is positioned for business impact
  • Clarify the next decision your team needs to make

Package details

  • Three private sessions, 45 minutes each
  • Package pricing with a 10% discount for five or more sessions
  • Scheduled based on mutual calendar availability
  • Confidential and not recorded, with all working documents belonging to you
  • A trusted colleague may join the sessions
  • Written summary with recommended next steps after the engagement

How requesting Office Hours works

Send an email to request a package. If the engagement is a fit, you will receive package pricing, scheduling, payment, and preparation details before you commit.

You do not need a polished strategy or technical plan. Bring the decision, proposal, or challenge you are facing now.

Availability is limited.

FREE RESOURCE LIBRARY

Explore More Free Resources

Browse practical guides, frameworks, lessons, and executive tools designed to help you evaluate AI opportunities and lead better-informed decisions.

View All Free Resources
CORPORATE AND PRIVATE COHORTS

Bring Executive AI Judgment to Your Leadership Team

RIZKAZ can adapt its executive education for leadership teams, private cohorts, and organizations preparing to make significant AI investments.

Choose a program focused on your organization’s use case or arrange a private Maven cohort for a structured shared learning experience.

Private cohorts build shared capability across a team. Office Hours focus confidentially on one active decision or use case.

Appropriate for:

  • Executive leadership teams
  • Business and technology leadership alignment
  • Strategy and transformation groups
  • Teams evaluating AI vendors, pilots, or portfolios
Ask About a Private Cohort

Email office-hours@rizkaz.com to begin the conversation.

FREE EXECUTIVE AI LESSONS

Start With One Better Question

Explore two free executive lessons. Learn which questions to ask before approving an AI project. If one is already underway, assess whether the pilot is positioned for success.

FREE · LIGHTNING LESSON

5 Questions to Ask Before You Approve Any AI Project

Learn the questions that help executives uncover risk, readiness, and business value before approving an AI investment.

Walk away with a practical checklist for your next proposal or vendor conversation.

FREE · LIGHTNING LESSON

Assess if Your AI Pilot is Heading Towards Success

Assess whether an active AI pilot is on track to deliver meaningful business impact.

Conduct a practical project audit you can act on.

If these questions reflect decisions your organization is making now, the flagship cohort provides a complete framework for evaluating opportunities, aligning teams, and managing AI investments.

Explore AI Judgment for Business Executives
Dr. Saira Kazmi

Meet Dr. Saira Kazmi

AI and engineering executive, C-suite advisor, founder, board member, and educator.

Dr. Saira Kazmi has built and led data, analytics, software, and AI organizations across Fortune 500 companies, cancer research environments, and high-growth technology businesses.

Her work has included leading multidisciplinary teams, managing large technology portfolios, developing patented innovations, and delivering platforms tied to measurable business outcomes.

She created RIZKAZ to help business leaders develop the judgment to evaluate AI clearly, without being overwhelmed by technical jargon or dependent on vendor narratives.

View Dr. Saira Kazmi on LinkedIn

A Practical Approach to Executive AI Judgment

The learning experience is built around the decisions leaders actually face, not abstract technology theory.

Work From Real Decisions

Apply each framework to proposals, pilots, portfolios, vendor conversations, and leadership questions you recognize.

Connect Questions to Action

Move from understanding terminology to identifying the next question, decision, owner, and measure of success.

Test Value Before Commitment

Assess whether an initiative is useful, feasible, and worth the investment before momentum replaces judgment.

Frequently Asked Questions

Choose the Right Learning Experience

Get clear answers about who the programs are for, what to expect, and which option best fits your goals.

Is this designed for technical leaders?

Technical leaders are welcome, but the courses are designed primarily for executives and business leaders. The focus is on building the judgment to evaluate AI opportunities, guide teams, and make informed business decisions without needing to become a technical specialist.

What if my organization already has an AI or data team?

That is an ideal time to participate. Consider bringing your AI, data, or technology partners with you so you can develop a shared vocabulary, align expectations, and leave with a common understanding of how to connect technical work to business outcomes.

Will the course teach me how to build AI models?

No. These programs are not technical model-building courses. They prepare you to manage a portfolio of AI initiatives, lead the teams building these technologies, evaluate risk, and develop foresight around potential blind spots.

How much time should I expect to commit?

The learning experiences are designed around executive schedules. Workshops and courses are generally structured as focused sessions, often over a weekend. Private AI Office Hours are scheduled flexibly based on mutual availability.

Are recordings available?

Yes. Maven classes are recorded so enrolled participants can revisit the material. Private AI Office Hours are confidential and are not recorded. After each Office Hours engagement, you will receive a written summary with recommended next steps.

Can my company enroll a private group?

Yes. Private cohorts and team learning experiences are available. Email office-hours@rizkaz.com with your company name, audience size, participants’ departments, preferred location or web format, point of contact, and cohort goal. Programs can be tailored around a specific use case or delivered in a Maven cohort format.

How do I choose between a course and Private AI Office Hours?

Choose a course if you want a structured learning experience and the opportunity to learn alongside other leaders. Choose Private AI Office Hours if you want to discuss a specific use case, decision, or organizational challenge confidentially. You are welcome to bring a colleague to your Office Hours sessions.

What happens after I enroll?

Maven manages course enrollment, payment, schedules, access, and recordings on its platform. For Private AI Office Hours, you will receive details about scheduling, payment, setting the agenda, and defining success measures for the engagement. After the sessions, you will also receive a written summary and recommended next steps.

Testimonials

Colleague Testimonials About How Saira Works

These reflections from colleagues show how Saira brings clarity to complex work, develops leaders, and guides teams through ambiguity.

You'll learn a lot about building strong, collaborative teams that proactively solve hard problems in a sustainable manner. Working with Saira was one of the best professional experiences of my career, and I highly encourage you to leverage the opportunity to learn from her.

Kai Nemoto
Kai Nemoto
Machine Learning Engineer
Meta Platforms

She has a rare gift of unlocking potential you didn't know you had. Under her leadership, I tackled challenges I never imagined I could take on — and discovered a passion for the work along the way. Being part of her team has been, without question, one of the most rewarding chapters of my career.

Barbara van Rekom
Senior Manager, Enterprise Data & AI Platforms
CVS Health

Saira had a strong ability to bring clarity in ambiguous situations. Working in an incubation environment meant priorities were constantly shifting, but she was consistently able to step back, assess what mattered most, and align the team around a clear direction. Her technical depth also helped — she could engage meaningfully in the problem space, which made her guidance practical and grounded rather than purely directional.

Vasanth Srinivasaraghavan
Vasanth Srinivasaraghavan
AVP of AI Platform Engineering
The Hartford

She is an outstanding leader — I worked under her while building an ML Platform from the ground up. She adeptly engaged cross-functional enterprise leaders to generate traction for the platform, and navigated internal organizational challenges with composure. Her strategic guidance was instrumental in keeping the team aligned and moving forward.

Aravind Piratla
Principal Cloud Engineer
CVS Health

Saira brought clear communication and a patient, measured tone that influenced how people felt about their learning and led to better learning outcomes. She helped them to build confidence in themselves.

Sue McClatchy
Sue McClatchy
Bioinformatics Analyst
The Jackson Laboratory

I learned how to build a resilient team through trust and effective delegation. Saira is exceptional at hiring and retaining smart engineers, encouraging them to tackle hard problems while strengthening the collective team through continuous knowledge sharing. Witnessing her exceptional reputation as a leader taught me a lot about strong leadership.

Kai Nemoto
Kai Nemoto
Machine Learning Engineer
Meta Platforms

Saira rolled up her sleeves and worked alongside the team to fully understand the problem, then guided us through discussing the available options and weighing the trade-offs, risks etc. Rather than handing down a decision, she empowered the team to land on the right path forward — so we owned the decision and the outcome.

Barbara van Rekom
Senior Manager, Enterprise Data & AI Platforms
CVS Health

Being guided by Saira means you're never just told what to do — you're helped to think better. She leads with both technical credibility and a clear strategic mind, which creates an environment where the team feels supported and grows naturally. The impact isn't just in the work that gets delivered — it's in how much stronger her people become along the way.

Vasanth Srinivasaraghavan
Vasanth Srinivasaraghavan
AVP of AI Platform Engineering
The Hartford

Saira can make complex ideas understandable to lay audiences. She knows how to choose wording and phrasing that are common, avoiding jargon and highly technical terms. She also uses examples and analogies effectively to help people understand ideas.

Sue McClatchy
Sue McClatchy
Bioinformatics Analyst
The Jackson Laboratory

TAKE THE NEXT STEP

Bring Clarity to Every AI Decision

Build the judgment to evaluate AI opportunities clearly, ask better questions, and lead investments toward measurable business outcomes.