Ready to Own Your AI Solutions & Stop Depending on Vendors?

We teach your employees to build their own AI tools instead of staying trapped in expensive vendor relationships. Instead of paying AI vendors forever, you make one investment that delivers lasting capability.

The result: radical cost savings, rapid innovation, and a workforce that embraces the future. Organizations that trust our five-phase roadmap get quick wins, such as $200K+ in annual savings, 34% increase in client satisfaction, 26% increase in productivity, and a team that builds and maintains custom AI solutions.

The Empowerment Process: A Different Path to AI Transformation

Many AI vendors build tools for you, leaving your team in the dark and creating a cycle of perpetual dependency. We turn on the lights. Our five-phase process is designed to transfer knowledge and empower your team to become self-sufficient AI innovators, all without programming knowledge.

Phase 1: Foundation Building (Weeks 1-2)

We begin by understanding your specific challenges, existing technology stack, and staff dynamics. Instead of immediately building solutions, we identify which of your team members show interest in becoming AI champions. These aren't necessarily your most technical staff—often, the best champions come from operations, marketing, or customer service roles where they deeply understand business pain points.
During this phase, we build the first one or two AI tools for you, deliberately choosing high-impact, visible applications that will generate immediate enthusiasm. For example, if your customer service team spends hours answering repetitive questions, we'll build a Customer Service Copilot that demonstrates immediate time savings.

Phase 2: Demonstration and Demystification (Weeks 3-4)

Here's where our approach diverges dramatically from a traditional vendor relationship. Instead of simply delivering the completed tools, we conduct detailed "behind the curtain" sessions where we show your team exactly how we built them. Using screen sharing and step-by-step walkthroughs, we demystify the no-code development process.
Your staff see that building AI tools doesn't require programming knowledge. They watch as we use visual interfaces, natural language prompts, and drag-and-drop functionality to create sophisticated solutions. More importantly, they begin to see possibilities—"If we can build that, what about solving this other problem we face?"

Phase 3: Guided Co-Creation (Weeks 5-8)

Now your team members become builders themselves. Working alongside us, they identify their own pain points and design solutions. We guide them through the development process, but they do the actual building. This hands-on experience transforms their relationship with AI from fear to fascination, addressing change management concerns in the process.
A typical session might involve a marketing team member building their own Campaign Analytics Copilot, or an HR staff member creating an Onboarding Assistant. As they build, they gain confidence and start thinking strategically about AI applications. They also learn the limitations of AI, which paradoxically increases their comfort level—understanding what AI can't do reduces anxiety about replacement.

Phase 4: Independent Innovation (Weeks 9-12)

By this phase, your team builds new AI tools with minimal guidance. We shift to a coaching role, reviewing their work, suggesting optimizations, and helping with complex integrations, as well as advising on broader Gen AI strategy. Your staff start collaborating across departments, sharing techniques and building tools that solve cross-functional challenges, transitioning from a tactical to a strategic approach to Gen A adoption.
This is when the magic happens. Because they own the tools they've built, staff become evangelists and scalers rather than resisters. They proactively identify new AI opportunities. They iterate and improve their tools based on real-world usage. They train their colleagues, spreading AI capability throughout the organization.

Phase 5: Sustainable Self-Sufficiency (Ongoing)

The final phase establishes long-term success patterns. We help you create internal governance structures, best practices documentation, and peer mentoring programs. Your organization develops its own AI innovation pipeline, with staff regularly proposing and building new tools.
We remain available for periodic check-ins, advanced training on new AI capabilities, or assistance with particularly complex projects and advice on strategy. But unlike enterprise vendors who create dependency, our success is measured by how little you need us over time.

Your Biggest Fears—Addressed

“Will this drain my budget?”

A one-time investment in empowerment costs a fraction of the ongoing fees charged by many AI vendors. Your staff will learn how to build and maintain tools for which vendors typically charge over $50K per year.

“What if our staff isn’t technical enough?”

This is a myth. No-code AI platforms are accessible for all business users. We've trained HR managers who barely used Excel to build sophisticated bots.

“What if employees leave after we train them?"

Empowered employees are engaged employees. Our clients report over 20% improvement in retention compared to companies that impose vendor solutions from the top down.

Your Low-Risk Next Steps

Do It Yourself

Complete your AI Adoption Readiness Assessment to identify your strengths and weaknesses and get personalized next steps

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Complimentary

25-minute call to map your top three Gen AI opportunities and assess empowerment potential

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AI Strategy Session

45-minute meeting with leadership team to identify high-impact AI use cases your team could build internally

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Testimonials

"I'm Emily Ast, a lawyer and owner of my own law practice. Over the last several months, Dr. Gleb has been instrumental in creating custom AI solutions for many of my administrative tasks that I currently do as part of my business. He is extremely knowledgeable in all things AI and other automation technologies, and programmed custom AI agents to do the heavy lifting for me on items like data tracking analysis, workflow, and invoicing. He took me step-by-step through the programming and how it works behind the scenes so I can better understand how to adjust this in the future and to use the resources. Through Dr. Gleb's great work I'm going to save so much time in the future and I'm really grateful to Dr. Gleb and would highly recommend working with him for all AI and other technology solutions."

Emily Ast, Esq, Owner of Ast Physician Contracts

"Gleb Tsipursky came to my attention sometime during the pandemic when I was planning to have our research institute follow the standard path that all the big corporations were following. Apple and Google were announcing plans to have people come back three days a week, I thought that seemed like a good plan. ... I saw a video that Gleb gave at IEEE [the Institute of Electrical and Electronics Engineers] that really actually changed my mind about this. It was a video about hybrid work and how important it was to actually embrace it. One of the things I was impressed by was all these interesting ideas about how to make hybrid work more effective. So I signed up for a meeting with Gleb and I learned quite a bit more about how to do hybrid work well. Gleb has come on as a consultant for the Information Sciences Institute and has been really helpful in terms of putting us much more in a leadership position in terms of figuring out how to do hybrid work. We changed our policies, we are much more flexible about who can work at home and allowing people to work from home whenever it makes sense with respect to their supervisor. We are adapting people's home offices and our office spaces and figuring out how to onboard people in a way that is more effective when people haven't met in person. I think he's been incredibly helpful in terms of really transitioning us to lead in how we manage hybrid work at the institute."

Dr. Craig Knoblock, Keston Executive Director of the Information Sciences Institute at University of Southern California

“Dr. Gleb had a big positive impact at Applied Materials. Our leaders and engineers love data-based, research-based insights, which is exactly what he brings. He hit it out of the park, and he used a team led process, which was incredibly engaging. He introduced us to a concept he created called asynchronous brainstorming. It was a process we used with hundreds and hundreds of leaders globally at the same time. We did this during our CEO kickoff session for our strategy work. In a very short amount of time, we were able to get great benefits. I also love the work he's doing to educate leaders around the power and positive benefits of hybrid and virtual working. And one of his techniques that I'm planning to use is what he calls “virtual coworking”, where you and as many coworkers as you'd like create a virtual meeting, no purpose or agenda, but rather just to be working with one another. I highly endorse Dr. Gleb's work with leadership teams.”

Susan J. Schmitt Winchester, Chief Human Resources Officer at Applied Materials

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Clients

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Media Features on Gen AI

Productivity

"25% faster and 40% better. This is how managers can leverage the productivity promise of generative AI"

Employee Buy-In

"The Secret to How Businesses Can Fully Harness the Power of AI"

Innovation

"Can AI Outperform Human Creativity? Research Suggests Machines Are More Capable Than We Thought."

In the Media

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Our book, ChatGPT for Leaders and Content Creators: Unlocking the Potential of Generative AI, offers case studies and best practices that will help you integrate best practices for integrating Gen AI into your work. It’s based on work done by our CEO who authored the book in consulting for over two dozen companies on how to integrate Gen AI into their systems and processes, and overcoming the human challenges involved in using Gen AI effectively. It also draws upon extensive peer-reviewed and survey research on Gen AI, and case studies from prominent companies.

Learn About the Book

Case Study

A Financial Advisory Firm Breaks Vendor Lock-In

Overview:

A 75-employee financial advisory firm was spending a fortune on consultants for minor AI tool updates.

Challenge:

The firm was paying $200K per year in consultant dependency costs.

The Empowerment Solution:

We implemented our empowerment program for $34K. We trained financial advisors and support staff to build and modify their own client reporting and market analysis tools.

Results in Year One:

11 custom AI tools built internally by staff.
$200K in annual consultant fees eliminated.
Time to deploy new AI solutions reduced from 3 months to 4 days.
34% increase in client satisfaction scores.

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