--- title: "AI Training & Enablement - Pragmatic Growth" description: "Role-based AI training on your team's real work, clear usage rules and adoption tracked team by team, until AI is part of every role." url: "https://pragmaticgrowth.com/services/ai-training" language: "en" alternate: "https://pragmaticgrowth.com/tr/services/ai-training" --- # Your Team, Better at AI Than Your Competitors' AI Training & Enablement Most teams use AI like a search box. We train yours on their real work, role by role, until it is part of how every team works. - **Role by role** trained on real work - **Clear rules** people actually follow - **Adoption tracked** team by team [Book a Call](https://cal.com/serkanhaslak/pragmatic-growth) ## Training That Changes How People Work A one-off workshop gets people excited for a week. Then they go back to the old way. We run enablement like a rollout: we learn each team's work, train them on it, give them playbooks and rules, and stay until the new habits stick. - **Role-Based Workshops**: Sales, finance, operations and management each learn on their own tasks, not on generic demos. - **Playbooks and Rules**: Prompts, workflows and a usage policy people can follow from day one. - **Adoption You Can See**: We track who uses what and where it saves time, and push where it has not stuck. ## Bought AI, Still Waiting for Results? - **A few people use it, most do not**: The early adopters love it. Everyone else tried it once and went back to the old way. *We pay for licences nobody opens.* - **Nobody knows what is allowed**: Careful people avoid AI altogether, while others paste customer data into whatever tool is to hand. *Our policy is missing, or too long to read.* - **The gap between teams keeps growing**: One team automates half its week while another has not started. The difference shows in output and morale. *We need everyone moving, not just the enthusiasts.* ## An Enablement Program That Sticks Built around your roles and delivered on your real work. 1. **Assess**: Skills, usage and opportunities mapped team by team. 2. **Train**: Hands-on workshops on each role's real tasks. 3. **Set the rules**: A short usage policy everyone understands. 4. **Embed**: Champions, office hours and adoption tracking. - **Champions in Every Team**: We train internal champions who keep things improving after we step back. - **Next Builds Found on the Way**: Training surfaces the processes worth automating next. - **Tied to Real Work**: We measure time saved and work done, not attendance. ## Five Stages of AI Maturity Most companies sit in the first two stages. Find yours, then see what moves you one step up. ### Exploring Curious, but no real use yet. Individuals try chatbots on their own. There is no budget, owner or policy for AI. **What holds you back** - No shared view of where AI would help - Worry about data and security - Nobody accountable for it **Your next move** - Run a use-case discovery workshop - Publish a simple AI usage policy - Name an executive owner ### Experimenting Pilots running, value unproven. A few teams try vendor tools. Results are anecdotal and nothing is measured against a baseline. **What holds you back** - Pilots chosen by enthusiasm, not value - No baseline to prove impact - Data scattered across tools **Your next move** - Rank use cases by value and effort - Set a baseline for each pilot - Stop the pilots that will not scale ### Operationalizing First systems in daily use. One or two AI workflows run in operations, each with an owner and a measured result. **What holds you back** - Each project rebuilt from scratch - Limited in-house skills - Integration takes longer than expected **Your next move** - Standardize how you build and monitor - Train the teams that use the systems - Build a pipeline of next use cases ### Scaling AI across several functions. Several teams run AI in daily work on shared data, tools and rules. **What holds you back** - Rules lagging behind usage - Costs growing without a clear return - Skills concentrated in a few people **Your next move** - One view of AI spend and return - An enablement program for every team - Clear model and vendor standards ### Embedded AI built into how you operate. New processes are designed with AI from the start, and it has become a real advantage. **What holds you back** - Keeping pace with new models - Protecting what makes you different - Managing risk at scale **Your next move** - Regular review of models and vendors - Invest in your own data and workflows - Periodic risk and quality audits ## Map, Design, Build, Grow The same four steps in every engagement, worded for this work. 1. **Map**: We look at how each team works today and where AI fits into that work. 2. **Design**: We design the program with you: roles, use cases, rules and how we will measure it. 3. **Build**: We train every team on its own work and hand over playbooks and a usage policy. 4. **Grow**: Every quarter we check adoption with you, refresh the training and add new use cases. ## Made for Leaders Who Want Everyone Moving It fits companies that want AI in every role, not only in one enthusiast's browser. ### A Good Fit If you want to - Lift AI skills across every team - Give people clear, simple rules - Build champions inside the company - Track adoption like any other rollout ### Not a Fit If you want to - Run a one-off keynote and call it done - Ban AI and hope it goes away - Train people on tools they will not get - Skip checking whether anything changed ## Show Us How Your Team Works Today In 45 minutes we find the process worth building first. [Book a Call](https://cal.com/serkanhaslak/pragmatic-growth)