Everything you need to know about AI enablement, why AI projects fail, and how Kiingo helps organizations build real capability.
Yes, and that's exactly who this is for.
AI enablement equips your entire organization with practical skills—no coding required. If you can use email and a web browser, you can learn to use AI effectively. We teach in plain English, focusing on real applications you'll actually use. Our bootcamp is designed for business professionals, not engineers.
Most of our graduates had no prior AI training. Based on internal Kiingo data.
Yes, and the use cases span every department.
According to Wharton's 2025 AI Adoption Report, the most common enterprise use cases include data analysis, content creation, and research synthesis.
Data analysis is the most common enterprise AI use case. (Wharton 2025)
Yes, you have tools, but tools aren't the bottleneck.
Implementation is deploying AI tools. Adoption is getting people to use them consistently. Enablement is building the organizational capability—skills, mindset, processes—that makes adoption stick and scale. Most companies focus on buying tools while ignoring the capability to use them, which is why adoption stalls.
74% of companies struggle to scale AI value because they focus on technology instead of people. (BCG)
Yes, and they're the key to sustainable adoption.
An AI Champion is an internal employee who becomes your organization's AI expert. They identify new use cases across departments, train colleagues, troubleshoot problems, and drive adoption after formal training ends. Every Kiingo bootcamp develops 1-3 Champions who become the hub of your AI capability. They receive ongoing support through monthly peer groups where they learn from other companies and stay current on emerging capabilities.
Companies with internal AI Champions see significantly higher sustained usage rates. Based on internal Kiingo data.
Yes, and there's a clear progression—companies that skip phases typically fail.
Direct interaction with AI for daily tasks
Automated data processing and reports
Complex multi-step task automation
Kiingo bootcamps focus on Phase I—building the foundation of AI fluency that makes Phases II and III possible.
Most companies that skip straight to automation fail—teams need the mental models first.
Yes, and you're right to be skeptical.
According to BCG research, about 70% of AI implementation challenges stem from people and process issues—not technology. Companies buy expensive AI tools, run pilots that go nowhere, and wonder why adoption stalls. The problem isn't the technology—it's organizational readiness. We focus specifically on the 70% that other approaches ignore.
74% of companies struggle to scale AI value because they focus on technology instead of people. (BCG)
Yes, and here's why you're not.
The 10-20-70 model explains it: successful AI adoption requires 10% algorithms, 20% technology, 70% people and processes. Most companies invert this—pouring resources into tools while ignoring behavior change, training, and workflow integration. You can have the best technology in the world, but if your people can't use it effectively and your processes don't support it, you'll never see ROI.
Kiingo focuses specifically on the 70% that determines whether AI succeeds or fails. (BCG 10-20-70 Model)
Yes, and it's almost certainly one of five fixable issues.
The bootcamp addresses all five systematically—building habits, selecting appropriate use cases, understanding model capabilities, teaching effective prompting, and integrating AI into your actual workflows.
Trained users complete tasks 25% faster with 40% higher quality. (Harvard Business School)
Yes, and readiness comes down to eight organizational pillars.
Governance: AI use policies and security protocols. Vision & Strategy: Clear AI roadmap tied to business goals. Use Cases: Role-specific applications that solve real problems. Learning: Structured, ongoing training. Incentives: Behavior change rewards. Psychological Safety: Addressing "Will AI take my job?" fears. Lead by Example: Executives actively using AI. Accountability: Clear ownership of AI adoption progress.
Companies strong in all 8 pillars see 5-10x higher adoption rates.
Ready to avoid the common AI adoption pitfalls?
Book a Free AI Strategy SessionYes, and here's what sets us apart: we make ourselves unnecessary.
Our clients see ROI within 6 weeks, not 12+ months like typical consulting engagements.
Yes, there are videos, but the real value is the live, hands-on work.
This isn't training—it's capability transfer. When we leave, your team keeps building without us.
Trusted by 1,300+ executives across 300+ companies.
Yes, you can—but you don't have to.
The AI Champions Peer Group is a monthly 4-hour forum where your Champions learn from other companies, stress-test ideas, and stay current on AI capabilities. Each session includes AI landscape updates, peer problem-solving, hands-on exercises, and new techniques. Members get Resource Vault access with fresh prompts, templates, and automation blueprints, plus community channels and office hours with Kiingo experts.
Unlike any competitor offering—ongoing support that keeps your AI capability current.
Yes, you can try—but here's why it rarely works.
Our bootcamp delivers 15-20 documented workflows specific to your business—not generic tutorials.
Yes, the tools will absolutely change—and that's exactly why we teach principles, not just buttons.
Your people learn how to learn AI. We focus on transferable skills: effective prompting, understanding model capabilities, identifying appropriate use cases, and building workflows. When GPT-6 launches or a new tool emerges, your team adapts instantly because they understand the fundamentals.
The AI Champions Peer Group keeps you current—you're learning from other executives dealing with the same changes in real time, not relying on tutorials from 6 months ago.
Platform-agnostic training means your skills transfer to any AI tool, current or future.
Maybe—but 90% of companies that think they need custom AI actually need better prompting and workflows with existing tools.
The AI labs are spending billions on R&D. Unless you have a truly unique use case, you're better off riding what they build. Most "custom AI" projects fail because companies jump to building before mastering what's already available.
Start with off-the-shelf tools and proper training. If you actually hit the limits, then consider custom solutions. Our bootcamp helps you identify whether you genuinely need custom AI or just need to use existing tools more effectively.
We can review custom implementation projects on a case-by-case basis. Contact us to discuss your specific needs.
Most companies see 5-15 hours saved weekly using existing AI tools with proper training—no custom development required.
Yes, and faster than you'd expect—wins from day one.
Our bootcamp creates immediate efficiency gains starting in the first session—we focus on practical, high-impact implementations that your team can use immediately.
Most employees recoup their time investment within the first 2 weeks.
Yes, and the math is straightforward.
30 minutes to 2 hours saved daily per employee. For a 50-person team at $50/hour, that equals $325,000 in annual value.
Harvard Business School research found consultants using AI completed tasks 25% faster with 40% higher quality—and lower performers saw the biggest gains.
50 employees × 30 min/day × $50/hr = $325K annual value. (Harvard Business School)
Yes, the gap is widening—but it's not too late to catch up.
According to Wharton's 2025 AI Adoption Report, 82% of enterprise leaders now use Gen AI weekly (up from 37% in 2023), with 46% using it daily. The productivity gap between AI-proficient and AI-struggling employees is widening. Yet 89% believe Gen AI augments rather than replaces work. The companies pulling ahead aren't buying more tools—they're building more capability.
82% of enterprise leaders now use Gen AI weekly—up from 37% in 2023. (Wharton 2025)
Yes, and you're not alone—74% of companies have the same experience.
According to BCG research, common failure modes include: (1) Tool-first thinking—bought software without building capability. (2) Pilot purgatory—small experiments that never scaled. (3) No accountability—training happened but habits didn't form. (4) Fear-based resistance—employees worried about job security. (5) Wrong use cases—tried AI on tasks it can't do well.
Kiingo's structured approach addresses all five: we build habits, create accountability, select appropriate use cases, address fears directly, and focus on the 70% that determines success.
We address all 5 common failure modes that cause AI initiatives to stall. (BCG)
That made sense 18 months ago. The tools are here now.
While you wait, your competitors are building capability. That's not just a gap—it's an accelerating one. The question isn't whether AI will matter—it's whether you'll be ready when the pressure hits.
The AI Champions Peer Group is designed for people who want to figure this out together, not people who have it all figured out. You don't need to wait for AI to "settle down"—you need to build the capability to adapt as it evolves.
82% of enterprise leaders now use Gen AI weekly—up from 37% in 2023. The gap is widening. (Wharton 2025)
Here's what we've learned: there's a productivity dip in the first few weeks.
People get slower before they get faster—this is the "J-Curve" of AI adoption. Many initiatives fail because companies abandon ship during that dip. Knowing it's coming, and having support through it, is what separates lasting adoption from abandonment.
The AI Champions Peer Group is specifically designed to get you through that dip. You're not alone—you have peers experiencing the same challenges and experts who've guided hundreds of companies through this transition.
Companies with ongoing support structures see significantly higher long-term adoption rates than one-time training.
Questions about how AI training works for your team?
Talk to an ExpertYes, and there are actually three types of fear you need to address.
Fear creates resistance, and resistance kills adoption. The solution is structured enablement that addresses all three fears directly.
Fear creates resistance—but structured training builds lasting confidence. Based on internal Kiingo data.
Yes, the gap is real—but AI actually helps your lower performers catch up.
Harvard Business School research found that low performers using AI saw 43% improvement vs. 17% for top performers—AI levels the playing field for those who learn to use it. Without proper support, teams resist or use "shadow AI" without sharing learnings. The solution isn't choosing one fear—it's addressing both through structured enablement that positions AI as augmentation, not replacement.
Low performers see 43% improvement with AI vs. 17% for top performers—AI levels the playing field. (Harvard Business School)
Yes, resistance is common—here's how to prevent it.
According to BCG's AI at Work 2025 survey, employees at organizations undergoing AI-driven changes worry about job security at significantly higher rates, creating resistance that executives struggle to manage. Four strategies that work:
Psychological safety around AI experimentation significantly increases adoption rates. Based on internal Kiingo data.
Yes, and fear is completely normal—many employees share this concern.
Fear-based resistance is one of the top adoption killers, but it's addressable. Our bootcamp includes specific fear-reduction components: Week 1 addresses "Will AI take my job?" directly. We use concrete examples that show AI handling tedious work while humans do the thinking. We demonstrate that AI-skilled employees become more valuable, not expendable.
Trainees consistently report increased confidence after completing the program. Based on internal Kiingo data.
Yes, and you're exactly who we designed this for.
No technical expertise required. If you can use email and a web browser, you can learn to use AI effectively. We teach in plain English, focusing on practical applications. We start with human-in-the-loop workflows—technical help is available via office hours for those who want to go deeper.
Most of our graduates had no prior AI training. Programs work for companies from 10 to 10,000 employees. Based on internal Kiingo data.
Yes, and AI adoption is a behavior change challenge—not an industry-specific problem.
We work with professional services, finance, accounting, legal, real estate, manufacturing, healthcare, technology, retail, construction, and more. If your team writes emails, creates documents, analyzes data, or communicates with customers—AI can help. The use cases vary by department, but the skills transfer across any industry.
We have pre-built customization modules for law, consulting, finance, real estate, manufacturing, and professional services.
Yes, and that's exactly why we designed it to fit busy schedules.
90 minutes weekly for 6 weeks—less time than most employees waste on tasks AI could handle in a single week. Office hours twice weekly for additional support. 30-60 minutes practice between sessions. Total: 15-20 hours over 6 weeks. Compare that to the 15+ hours per week AI can save once your team is proficient.
Total time investment: 15-20 hours over 6 weeks. Most employees recoup this in saved time within the first 2 weeks.
Yes—all programs are delivered virtually via live video sessions.
This allows us to work with companies nationwide without travel costs or scheduling complexity. We've trained 1,300+ executives this way across 300+ companies. In-person options are available for corporate engagements upon request.
1,300+ executives trained virtually across 300+ companies.
Yes, they may use it, but there's a significant gap between casual users and trained users.
Harvard research shows trained users complete tasks 25% faster with 40% higher quality—most "AI users" haven't unlocked this potential. They've tried ChatGPT for a few tasks but haven't integrated AI into workflows systematically. We assess where your team actually is and build from there. The bootcamp works for beginners and intermediate users—advanced content is available for those who've established basics.
Trained users complete tasks 25% faster with 40% higher quality than casual users. (Harvard Business School)
Yes—private bootcamps include industry-specific content and your actual workflows.
We work with your actual documents, your real challenges, and your specific data. The Bring Your Own Use Case (BYOUC) component ensures every participant leaves with workflows tailored to their role. You don't get generic examples—you get solutions for your actual problems.
Every participant leaves with 15-20 documented workflows tailored to their specific role and industry.
Yes, and it starts with a simple conversation.
Book a free AI strategy session and we'll assess where your organization is, identify your highest-impact use cases, and recommend a path forward. Every bootcamp includes a Leadership Strategy Session to align your executive team on next steps. You'll have documented workflows, a custom prompt library, and trained internal champions who can drive continued adoption.
No obligation—just a conversation to see if Kiingo is the right fit for your organization.
Get answers to your specific questions and learn how Kiingo can help your team.
Hear what forward-thinking executives say about their AI enablement journey with Kiingo.
Kiingo opened my eyes to doing totally new, unforeseen activities to grow my business—not just being more efficient. As AI keeps changing, Kiingo adapts to both my needs and those rapid changes. Ross keeps it real.
Ross knows his stuff—it's not something he bolted on. He knows the backstory as well as where things are heading. I created an agent to serve as a Chair collaborator with me. It made it faster to prepare for meetings and gave me ideas for what to do to add members.
I was already addicted to the benefits of using AI, but I feel several times more effective and now understand how to use it for teams and larger project planning. I have clients interested in improved application of AI and can now recommend Kiingo from experience.
Ross is an expert in the field and has a great way of communicating that knowledge. He makes it fun and interesting. I developed a number of GPTs specific to different tasks—like one to answer email in my tone. I learned about things I had no idea about, such as building a Prompt Engineering Library.
