AI Strategy and Implementation Your Team Is Already Using AI! Now Give It Some Rules Across your organization, people are already experimenting with ChatGPT, Copilot, and Gemini on their own. No shared standards. No security guidelines. No way to know what is working or what is creating risk. The AI Jumpstart gives your organization a complete framework for AI adoption: what to use, when to use it, who governs it, and how to scale it without losing control. Why This Matters Now Unmanaged AI Adoption Is Already Costing You By the time leadership notices the problems, the habits are set and the risks are already live. Outputs are inconsistent across teams. Sensitive data ends up in platforms nobody approved. Budget gets spent on tools nobody adopts. And no one is accountable for any of it. This is not a technology problem. It is a clarity problem, and it has a clear solution. The Risk Sensitive Data in the Wrong Hands Free-tier AI tools may use your inputs as training data. Without guardrails in place, your team is one prompt away from exposing information that should never leave the building. The Waste Paying for Tools Nobody Actually Uses Most organizations already have access to powerful AI features inside Microsoft 365 or Google Workspace. Without a framework, those features sit unused while people default to unvetted free alternatives. The Inconsistency Every Person Working Differently Ungoverned AI use means outputs vary by person and by day. Brand voice drifts. Quality becomes unpredictable. And there is no shared standard to hold anyone to when something goes wrong. The Gap No One Is Accountable for Any of It Without a shared framework, AI adoption has no owner and no oversight. You cannot measure what is working, fix what is not, or scale what is. The Process From Scattered Experiments to a Shared System, in Three Steps The AI Jumpstart is a structured engagement, not a lecture. We start by understanding where your organization is today. Then we work with your team to close the gaps, identify the highest-impact opportunities, and build a plan your people will actually follow. Step 1 Step 2 Step 3 Free A 25-Minute Call to Check the Fit We talk through your current tools, workflows, and goals to confirm the Jumpstart is the right next step. No pitch. If it is not the right fit for where your organization is right now, we will tell you. Four Hours A Working Session With Your Team We map your current AI usage, surface the gaps and friction points, identify the quick wins, and establish shared standards for secure and consistent use. Your team builds this with us in the room. Your Roadmap A 90-Day Plan Ready to Execute on Monday It’s not a slide deck, it’s a tactical document that tells your team exactly what to do in the first 30, 60, and 90 days, prioritized by impact and grounded in your actual workflows. What You Walk Away With Everything Your Team Needs to Start the Week After the Workshop Every Jumpstart engagement produces a tailored set of deliverables built around your team, your tools, and your specific situation. These aren’t filled-in templates. They’re built from what we actually learn about your organization in the room. Your Implementation Plan A Custom 90-Day Roadmap Step-by-step actions for your first 30, 60, and 90 days. Prioritized by impact, sequenced for your team’s capacity, and built to be used the week after the workshop, not filed away. Where to Start A Prioritized Opportunity Map Your team will debate where to begin. This removes that debate. The specific workflows we identified as your highest-return starting points, ranked by effort and impact so the first move is obvious. Protecting Your Data AI Security Guardrails A foundational set of rules that keep sensitive information protected and move your staff away from unvetted free-tier tools. The baseline your organization needs before scaling anything. Your Baseline A Workshop Insights Summary The document that answers the question your leadership will ask in six months: how do we know if this worked? A concise report documenting your team’s readiness and the bottlenecks we identified together. Keeping the Momentum Optional Follow-Up Coaching A follow-up session scheduled 30 days out to clear whatever is blocking progress and confirm the roadmap is still the right one. For organizations that want support past the starting line. Built for Growing Organizations You’re Past the Experimental Phase. Now You Need a System! The AI Jumpstart is for organizations that have moved past asking whether AI is worth using and are now dealing with the messier question of how to use it without creating new problems. If your team is already experimenting and nobody is in charge of how that goes, this was built for you. About the Team Practitioners Who Have Solved This Problem Before The AI Jumpstart is a Third Wunder initiative. The people who designed the framework are the ones who run your workshop. Every engagement is senior-led from the first call to the final roadmap. Mohamed Hamad, Founder, Third Wunder Digital Strategy and Implementation Mohamed has spent nearly two decades helping organizations figure out what they actually need before building anything. He built the AI Jumpstart in collaboration with Mitch, after watching organizations spend significant budget on AI too and get inconsistent results from the same platforms, because nobody had agreed on how to use them. His role in every engagement is to make sure the plan your team leaves with is one they can act on immediately. Mitch Schwartz, Founder, OpsMachine AI Consulting and Process Design Mitch has spent over a decade helping organizations design systems built around the people using them. He has seen AI double a team’s output and he has seen it make things worse. In his experience, the difference usually comes down to one question nobody asked at the start. His focus in every Jumpstart is closing that gap before it becomes a problem. Canadian Funding Programs You May Not Have to Pay for This Yourself Canadian programs including Scale AI, Services Québec, and the Ontario Trillium Foundation offer grants and reimbursements for AI training and capacity building. During your discovery call, we can identify which funding streams apply to your organization. Limited to Four Organizations Per Month Your Team Deserves a Plan Not Just Another Tool The discovery call is 25 minutes. We’ll tell you honestly whether the Jumpstart is the right fit for where your organization is right now. If your team isn’t ready to commit to a 90-day implementation, we’ll say so. You’ll leave the call knowing exactly whether this is right for your organization, what it would cost, and what the first 30 days would look like. Ready To Get Started! Want to Know More? Book a Call Contact Us The Questions Your Leadership Team Will Ask Anyway If something is not answered here, it will be on the discovery call. Is This Training or Strategy? Both. The workshop is hands-on and built around your real workflows. The roadmap is specific to your organization’s goals and constraints. You leave with a shared framework and a concrete plan, not a certificate. Do We Have to Buy New Software? Usually not. Most organizations already have access to AI features inside Microsoft 365 or Google Workspace. We help you find and use what you are already paying for before recommending anything new. How Do You Handle Sensitive Information? We establish security guardrails as part of every engagement. These rules keep proprietary and client data protected and move your staff away from free-tier tools that may use your inputs as training data. What If Our People Have Mixed Technical Comfort? That is the norm, not the exception. The workshop is designed for mixed rooms. The framework your team leaves with is one anyone can follow, regardless of their technical background. What Does It Cost? The discovery call is free. Full pricing is shared on that call. Canadian funding programs may offset part or all of the cost for eligible organizations. Will These AI Recommendations Replace Staff? No. The Jumpstart helps your team handle repetitive work more efficiently. Every AI output ha Why Only Four Spots Per Month? Every engagement is fully customized. We limit availability so every organization gets the strategic depth and attention the work requires. Generic advice at scale is not what we do. What is an AI policy and why does my organization need one? An AI policy is a set of guidelines that defines how your team uses artificial intelligence tools in their daily work. It covers which tools are approved, what data can and cannot be entered, and what standards your team should follow when using AI for tasks like drafting, research, or reporting. Without one, organizations risk inconsistent results, security vulnerabilities, and wasted spending on tools that nobody uses the same way. How do I start building an AI adoption plan for my team? Start by assessing how your team is currently using AI tools, even informally. Identify which tools you’re already paying for, where people are experimenting on their own, and where the biggest friction points exist in your daily workflows. From there, establish clear usage guidelines, align your team around shared standards, and build a phased implementation plan that prioritizes low-risk, high-impact tasks first. What is the difference between AI training and AI implementation? AI training teaches individuals how to use specific tools or write effective prompts. AI implementation is an organizational process that includes policy development, security protocols, workflow integration, and a structured rollout plan. Training helps one person get better results. Implementation ensures your entire team is using AI consistently, safely, and in alignment with your organizational goals. How do I make sure my team uses AI safely and securely? Start by establishing clear rules about which AI platforms are approved for use and what types of data can be entered into them. Many free-tier and personal AI accounts use the data you input to train their models, which creates real privacy risks for sensitive organizational information. An AI policy should define these boundaries, and a structured adoption plan should include moving your team onto enterprise-tier tools where your data remains private. How can a small non-profit team adopt AI without adding to their workload? The key is to start with tasks your team is already doing that consume disproportionate time, like reformatting reports or drafting routine communications. A structured adoption plan identifies these high-impact, low-risk starting points and builds from there, so your team reclaims time instead of spending more of it. What’s the difference between learning AI tools and adopting AI as an organization? Learning AI tools means individuals know how to prompt ChatGPT or Copilot. Organizational adoption means your team has shared standards, an AI policy, and a clear plan for which tools get used, how, and by whom. One builds individual skill. The other builds lasting operational capacity. How do non-profits protect sensitive data when using AI tools? Start by establishing clear guidelines for what information can and cannot be entered into AI tools, especially free-tier platforms that may use your inputs for training. A good AI policy defines these boundaries so staff can use the tools confidently without putting donor, beneficiary, or organizational data at risk. Can non-profits get funding to cover AI training and adoption? Canadian non-profit organizations may qualify for training grants through programs like Scale AI, Services Québec, or the Ontario Trillium Foundation. These programs can help offset the cost of structured AI adoption support like the AI Jumpstart. During a free Vibe Check call, we can help identify which funding streams fit your needs. 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