--- title: "AI Training & Enablement | Margins" description: "Turn AI into a capability your people actually use — role-based AI training built around your business and their actual work." url: https://margins.agency/services/ai-training --- AI Training & Enablement # Turn AI into a capability your people actually use. Giving employees access to AI doesn’t mean they’ll know where it creates value, how to use it effectively, or how their work should change around it. Margins trains executives, managers and employees around the AI opportunities, tools and workflows that matter to their actual roles — from foundational understanding to hands-on adoption. - Discuss AI training - Explore our approach ↓ Built around your business. Your people. Their actual work. Access isn’t adoption ## Giving people AI tools doesn’t make a company AI-enabled. The technology - Employees can have ChatGPT. - Microsoft Copilot can be deployed. - An internal AI assistant can be launched. - A custom AI system can enter production. None of those things guarantee that people will change how they work. What actually happens - Some won’t know where AI helps. - Some will use it poorly. - Some will use it for things they shouldn’t. - Some will continue working exactly as before. - Others will develop powerful new ways of working that never spread beyond their team. The technology can be deployed in a day. Changing how an organization works takes deliberate enablement. Our approach ## The goal isn’t to teach AI. It’s to teach people how to work differently with it. Most employees don’t need to understand transformer architecture. They need to understand 1. 01 Where AI can help in their role. 2. 02 Which tasks are worth changing. 3. 03 How to get consistently useful results. 4. 04 What information should and shouldn’t be shared. 5. 05 When AI can be trusted. 6. 06 When human judgment is still required. 7. 07 How AI fits into existing processes. 8. 08 How to recognize new opportunities. The objective isn’t AI literacy for its own sake. It’s better work because AI is available. Role-based enablement ## One AI course for the entire company doesn’t make sense. What a CEO needs from AI is different from what a salesperson, operations manager or finance employee needs. Training is designed around roles and responsibilities. Understand what AI changes. Executives don’t need prompt-engineering courses. They need enough understanding to make better decisions about where AI matters. Outcome **Leadership capable of making informed AI decisions.** - AI capabilities and limitations - Where AI creates business value - Identifying meaningful opportunities - AI economics - Build vs buy - Data and ownership - Risk and governance - How AI changes operating models - Evaluating AI investments Redesign work around new capabilities. Managers sit between strategy and execution. They need to understand how AI changes processes, roles and team performance. Outcome **Managers capable of changing how work gets done.** - Identifying AI opportunities inside a process - Breaking work into AI + human components - Designing human-in-the-loop workflows - Measuring productivity gains - Managing adoption - Recognizing failure modes - Creating new operating procedures Use AI effectively in everyday work. Employees need practical skills tied directly to their responsibilities. Outcome **Employees who can use AI confidently and productively.** - Effective AI interaction - Company-approved AI tools - Research and analysis - Document work - Communication - Data interpretation - Workflow automation - Verification and judgment - Role-specific use cases Build capability inside the organization. Some employees naturally become advanced users. We help develop them into internal AI champions who support adoption and identify additional opportunities across the business. Outcome **Internal capability that continues after formal training ends.** - Advanced use - Peer support - Opportunity spotting - Internal enablement Business-specific training ## Your employees don’t work in generic examples. Neither should their training. Generic AI training Summarize a fictional document. When people recognize their own work in the training, AI stops being abstract. Training built on real work, for example - Preparing for customer visits. - Analyzing purchasing patterns. - Writing commercial communication. - Working with product information. - Understanding customer history. - Creating management reports. - Processing documents. - Investigating discrepancies. - Preparing client communication. - Analyzing financial information. - Working across policies and regulations. - Planning. - Exception management. - Customer communication. - Operational reporting. - Analyzing delivery information. Find the work worth changing ## Training can reveal AI opportunities engineering never sees from the boardroom. Employees know where the friction is. So training shouldn’t only transfer knowledge — it should create a mechanism for capturing opportunities. 1. 01 Which report takes four hours every Friday. 2. 02 Which spreadsheet gets copied between three systems. 3. 03 Which customer question requires searching through six documents. 4. 04 Which decision depends on one experienced employee. 5. 05 Which repetitive task everyone hates. 1. 01 **Learn** 2. 02 **Apply** 3. 03 **Identify friction** 4. 04 **Discover AI opportunity** 5. 05 **Validate** 6. 06 **Implement** 7. 07 **New way of working** Every trained employee can become another sensor for where AI could create value. Implementation enablement ## The system isn’t implemented until people know how to work with it. That’s why training is part of our implementation lifecycle. If we build a predictive system, users need to understand - What the prediction means. - How confident it is. - What action they should take. - When they should ignore it. - What feedback the system needs. If we introduce an AI agent, employees need to understand - What it can do. - What it can’t do. - When to delegate work. - When to verify it. - When to intervene. - Where responsibility remains with them. 1. 01 Build 2. 02 Deploy 3. 03 Train 4. 04 Adopt 5. 05 Operate 6. 06 Improve Deployment puts AI into the company. Training puts it into the workflow. Beyond the workshop ## Knowing what to do and actually doing it are different problems. Training creates understanding. Adoption changes behaviour. That’s why our work can continue beyond the training session. 01 ### Train Understand the capability. 02 ### Practice Use it against real work. 03 ### Apply Introduce it into everyday workflows. 04 ### Support Help users when reality creates questions. 05 ### Measure Understand whether people are actually using it. 06 ### Improve Adjust the system, workflow or training based on what we learn. Training is an event. Enablement is a process. Training areas ## From AI fundamentals to role-specific application. The actual program is configured around your organization — not sold as a catalogue. 01 ### AI Fundamentals Understand what modern AI can and cannot do and where different technologies fit. 02 ### Practical Generative AI Use language models effectively for everyday knowledge work. 03 ### Role-Specific AI Apply AI directly to sales, operations, finance, management and other functions. 04 ### AI for Executives Understand AI economics, opportunities, risk and strategic implications. 05 ### AI for Managers Redesign processes and teams around AI capabilities. 06 ### AI Tools & Workflows Learn the approved AI systems available inside the organization. 07 ### Custom AI Systems Train employees around AI applications specifically implemented for their business. 08 ### AI Opportunity Identification Teach teams how to recognize work that may be suitable for automation or augmentation. 09 ### Responsible AI Use Understand company rules, data boundaries, verification and human responsibility. How we train ## People learn AI by using it. The most valuable part of AI training isn’t listening to someone explain AI. It’s applying it. 1. 01 — **Understand** — Short, practical explanations of the capabilities and limitations that matter. 2. 02 — **See** — Demonstrations based on recognizable business situations. 3. 03 — **Do** — Participants work through tasks themselves. 4. 04 — **Apply** — Exercises move into the participant’s actual role and workflows. 5. 05 — **Reflect** — Identify where AI worked, where it didn’t and where human judgment remains necessary. 6. 06 — **Repeat** — Turn useful techniques into repeatable ways of working. Responsible use ## Employees need to know not only what they can do with AI, but what they should do. When employees adopt public AI tools independently, organizations can lose visibility into how company information is being used. The objective isn’t to make employees afraid of AI — it’s to give them enough understanding to use it confidently within the company’s rules. Practical boundaries around - Company data - Customer information - Confidential documents - Personal data - Intellectual property - AI-generated output - Verification - Human accountability - Approved tools - Escalation From public AI to enterprise AI ## ChatGPT is useful. It isn’t your AI strategy. Public AI tools can dramatically improve individual productivity. Enterprise AI goes further. 01 ### Individual AI Helps one employee perform a task. 02 ### Team AI Changes how a group works. 03 ### Workflow AI Becomes part of an operational process. 04 ### Enterprise AI Connects proprietary data, systems, knowledge and processes across the business. We train people to use the AI available today while preparing the organization for the AI capabilities it will build tomorrow. From human knowledge to organizational intelligence ## Some of your most valuable knowledge lives inside your people. Experienced employees know things that aren’t documented anywhere — and that knowledge can disappear when someone changes role or leaves. Capta helps capture expertise and convert it into structured organizational knowledge that the business, and its AI systems, can use. - How exceptions are handled. - Why certain decisions are made. - Which customers behave differently. - What signals matter. - Which shortcuts work. - What tends to go wrong. Training helps people work with AI. Capta helps AI learn from your people. [Explore Capta](https://margins.agency/#technology) The program ## Built around your organization. A typical structure — **not a two-hour workshop.** Packages are configured per organization. 1. 01 — Understand — Assess AI maturity, existing tools, policies, roles and business objectives. 2. 02 — Segment — Identify what different groups actually need to know. 3. 03 — Design — Build role-specific training around relevant tools, workflows and use cases. 4. 04 — Train — Deliver practical sessions with hands-on exercises. 5. 05 — Apply — Participants use AI against real work and workflows. 6. 06 — Capture — Identify recurring questions, friction and new AI opportunities. 7. 07 — Enable — Support champions, managers and teams as new ways of working take hold. 8. 08 — Measure — Understand adoption and where additional enablement is required. Beyond attendance ## A completed training session isn’t the outcome. Attendance is easy to measure. Transformation isn’t. Depending on the program, useful signals could include: 01 **Adoption** Are employees actually using the approved AI capabilities? 02 **Frequency** Has AI become part of recurring work? 03 **Use cases** Are employees applying it to valuable tasks? 04 **Time** Is measurable work being eliminated or accelerated? 05 **Quality** Are employees producing better outcomes? 06 **Confidence** Do people know when and how AI should be used? 07 **Opportunities** Are teams identifying additional high-value applications? The objective is changed behaviour and better work — not certificates. AI transformation ## Technology changes the capability. People change the company. Margins combines AI Strategy, Engineering, Training, Forward Deployed Engineering and Managed AI so technology and organizational adoption don’t become separate initiatives owned by disconnected partners. Technology - Strategy - Data - AI systems - Integrations - Infrastructure - Operations People - Understanding - Skills - Adoption - Judgment - New workflows - New behaviours = **Business value** [Explore AI Transformation →](https://margins.agency/services/ai-transformation) Who we train ## Different roles. Different responsibilities. Different training. 1. 01 **Executives** — Strategic understanding and investment decisions. 2. 02 **Managers** — Process redesign and adoption. 3. 03 **Knowledge Workers** — Everyday AI productivity. 4. 04 **Operational Teams** — AI-enabled workflows. 5. 05 **AI Champions** — Internal enablement and opportunity discovery. 6. 06 **Technical Teams** — Working effectively with enterprise AI systems. Why Margins ## Training from people who actually implement AI. 01 ### Practitioners, not trainers alone Our perspective comes from designing and deploying real AI systems. 02 ### Business-specific Programs are built around the customer’s roles, processes and opportunities. 03 ### Connected to implementation We can train employees around the actual AI systems entering their workflows. 04 ### Technical depth Questions don’t stop when the conversation moves beyond ChatGPT. 05 ### Opportunity discovery Training can surface additional opportunities for automation and AI implementation. 06 ### End-to-end capability When a valuable opportunity is discovered, Margins can take it from idea through engineering and into production. **40+** Skilled professionals **60+** Projects delivered **$100M+** Measured client impact **#11** Deloitte Technology Fast 50 Central Europe ## Related capabilities ### [AI Transformation](https://margins.agency/services/ai-transformation) Build AI into the way the organization operates. Explore AI Transformation → ### [AI Discovery Sprint](https://margins.agency/services/ai-discovery-sprint) Identify where AI can create meaningful value across your business. Explore AI Discovery → ### [Capta](https://margins.agency/#technology) Turn employee expertise into organizational intelligence your company owns. Explore Capta → ### [Forward Deployed Engineering](https://margins.agency/services/forward-deployed-engineering) Keep technical expertise close to users as new AI workflows meet reality. Explore FDE → Enable your people ## What could your people do differently with AI? We’ll help you identify what different parts of the organization need from AI, design training around their actual work, and turn new capabilities into everyday ways of working. [Discuss AI training](https://margins.agency/contact) Talk to our team → Don’t train people on AI in the abstract. Train them for the work they’ll do with it.