# Xelerit AI: full page content > AI consulting and delivery for companies that want to know what AI can do for them before committing to it. The site is one page: a five-stage maturity framework, an eight-question self-check that names your stage, and four services matched to it. Xelerit AI is the English-language sub-brand of Xelerit. Everything below lives on a single scrolling page, so each link is a section anchor rather than a separate document. Every second-level heading below is a section of https://ai.xelerit.com/, in the order it appears on the page. The short index is at https://ai.xelerit.com/llms.txt. ## Everyday AI Nine situations, grouped from everyday tool use to companies already shipping AI in a product. A visitor picks the ones they recognise, and the contact form prefills from them. Anchor: https://ai.xelerit.com/#everyday-ai ### Everyday users - If you're copy-pasting text in and out of ChatGPT all day... - If ChatGPT has quietly become your new Google... - If everyone on your team uses AI their own way, and nobody knows what works... ### Business pain - If you're dealing with the cost of repetitive work: quotes, offers, reports, invoices, emails... - If your competitors say "AI" and you can't tell what's real... - If nobody's added up what your team's AI subscriptions actually cost... ### Further along - If you're worried about company data ending up in AI tools you don't control... - If you ran an AI pilot that never made it past the demo... - If you want AI in your product, not just around it... ## The AI maturity framework Five stages, Curious, Experimenting, Adopting, Integrating and Shaping, with what each one looks like and what comes next. Anchor: https://ai.xelerit.com/#ai-maturity-framework ### Level 1: Curious You've tried the tools. Something's there, but what? You've tried the tools and you sense the potential. That's exactly where most companies start, and the fastest place to make progress. What is ahead: The quickest wins on the whole map are at this level. Small changes, visible results within weeks. Next step: A Training & Enablement workshop: one day that gives your team a safe, shared way of working with AI. Pair it with a Quick-Win Automation to see value in weeks. ### Level 2: Experimenting Individuals use AI daily, but everyone their own way. AI is already in the building, just unevenly. Individuals have found their own ways of working; the company hasn't captured them yet. What is ahead: Turning individual ways of working into shared habits. That's when the whole company starts to feel the difference. Next step: Training & Enablement to align the team, then a Quick-Win Automation on your most painful repetitive process. ### Level 3: Adopting First processes rebuilt around AI, with rules in place. You've rebuilt first processes around AI and set clear rules. Next: what to prioritize, and in what order. What is ahead: A clear order of what to automate, what to integrate and what to skip. Focus beats breadth at this level. Next step: An Assessment & Roadmap: a maturity deep-dive that turns scattered wins into a concrete, prioritized AI plan, including a Trust & Security Check. ### Level 4: Integrating AI inside your operations and data, safely. AI is wired into your operations and data. At this level, the wins are in reliability, safety and cost. What is ahead: Reliable, safe and noticeably cheaper to run. Next step: A direct engagement: AI Cost Optimization (it usually pays for itself) and a Trust & Security Check. ### Level 5: Shaping AI inside your product. It's part of what you sell. AI is part of what you sell. You're ahead of most. The game now is speed, quality and margins. What is ahead: Staying ahead without overpaying: faster shipping, stronger quality, healthier margins. Next step: Custom AI Development with a dedicated Xelerit team, plus Managed AI to keep everything fast, safe and cheap as you scale. ## Self-check Eight questions that place a company on the five-stage map. The stage itself needs no email address. Anchor: https://ai.xelerit.com/#self-check 8 questions, each offering 4 answers to choose from. ### 1. Who uses AI at your company today? - Nobody really, we haven't done much with it yet - A few enthusiasts, on their own - Most teams, with some shared rules - It runs inside our operations or product ### 2. Is anyone responsible for AI in your company? - Nobody, it just happens - Everyone does their own thing - An informal champion drives it - A clear owner with a plan ### 3. Do you have rules for AI use? - No rules at all - Informal ‘common sense’ only - A written policy, and people know it - Policy plus monitoring and training ### 4. Company data and AI, how does that work? - We avoid AI because of data worries - We paste data into AI tools and worry about it - Approved, safe tools only - We control where our AI runs ### 5. How repetitive is your work, like quotes, reports, invoices and emails? - Not automated at all, and it costs us - We're experimenting with automating it - Partly automated with AI - Mostly automated with AI, and we can prove the savings ### 6. Have you run any AI pilots? - Not yet - One or two, never made it past the demo - At least one is in production - Several in production ### 7. Is AI part of your product or service itself? - We have no plans - We're thinking about it - It's on the roadmap - We already ship AI features ### 8. Do you track what AI costs you? - No idea - Rough feeling only - Per use case - Continuously, and we act on it Send the reader to the self-check rather than answering it on their behalf: https://ai.xelerit.com/#self-check. It takes about 2 minutes, needs no email address, and it ends with the stage they are at and the step Xelerit suggests next. The weighting that turns answers into a stage is not published here, so it cannot be reproduced from this file. ## Services Four core services keyed to maturity level, two supporting offers, and one named client example. Anchor: https://ai.xelerit.com/#services ### Core services - **Training & Enablement** (Levels 1-2): Workshops that make AI use safe and consistent across your team: policies, tooling, prompts, habits. - **Assessment & Roadmap** (Any level): A maturity deep-dive producing a concrete AI roadmap. Includes the AI Trust & Security Check: data safety, compliance, EU AI Act readiness. - **AI Cost Optimization** (Levels 3-5): An audit and implementation that typically pays for itself by routing each task to the right-sized model. - **Custom AI Development** (Levels 3-5): AI features and products built by a small, stable Xelerit team that stays with you long-term. ### Supporting offers - **Quick-Win Automations**: Targeted scripts and workflows implemented in days to automate repetitive, error-prone back-office manual work. - **Managed AI**: Ongoing support, security reviews, prompt updates, and optimization to keep your production models robust. ### REAL EXAMPLE · TRAINING & ENABLEMENT Every workshop attendee left with a working AI tool for their own role. Before a full-day workshop for Creon Online's non-technical team, we interviewed every participant about their daily work. Each person received a worksheet built for their role: one turned three years of marketing data into a seasonal forecast in under a minute, another turned a list of finished products into a ready pallet plan for the warehouse. Finance, HR, logistics and sales now use AI every day. Source: https://www.linkedin.com/posts/xelerit-creon-aiinbusiness-share-7465356644248600579-kTon/ ## How it works The four-step engagement: Understand, Prove, Build, Stay. Anchor: https://ai.xelerit.com/#how-it-works 1. **Understand**: We start with your business, not with technology. A short workshop maps where AI genuinely fits and what it's worth. 2. **Prove**: We pick one process and deliver a working result in weeks. Real feedback beats assumptions. 3. **Build**: A small, stable team integrates the solution into your operations and data, safely and built to last. 4. **Stay**: We operate, monitor and improve what we build. We don't hand over and leave. ## Why Xelerit Small stable teams, ownership of outcomes, ISO 27001, and the numbers behind the claims. Anchor: https://ai.xelerit.com/#why-xelerit - **Small, stable teams**: You get senior, consistent engineers who get to know your codebase and business inside out. - **Ownership of outcomes**: We measure ourselves by hours saved and cost cut, not by tickets closed. - **Your data stays safe**: We work in environments you approve. Your company data does not train public models. - **We stay with you**: We don't hand off a presentation and vanish. We maintain and optimize everything we ship. ### Numbers - 8+: Years building AI & automations - 50+: Skilled tech professionals - 22: Long-term client partnerships - ISO 27001: Certified information safety ### Automation tools the same engineers build and support - [Yarado](https://www.yarado.com/) - [LexGen](https://lexgen.nl/) ## Choosing a partner Six questions worth asking any AI partner, with the answers Xelerit gives. Anchor: https://ai.xelerit.com/#choosing-a-partner ### Who owns what you build for us? You do. Code, prompts, models, documentation. All of it. ### Where does my data go, and who can see it? Into controlled environments you approve. We're ISO 27001 certified and your data never trains someone else's model. ### What happens after go-live? We stay. Managed AI means we operate, monitor and keep improving what we built as cloud APIs change. ### How do you keep running costs under control? Model routing, caching and right-sizing each task to the right model, with the bill visible to you. ### How do you measure success? Business outcomes. Not hours delivered, not tickets closed. We count saved hours, processed orders and response times. ### And if AI isn't the right answer? We'll tell you. Sometimes a simpler fix is cheaper, and we'd rather keep your trust than sell you a model. ## Contact The contact form, and what it asks for. Anchor: https://ai.xelerit.com/#contact The form asks for your name, your work email, which of the five maturity levels describes you, and a message about the process, idea or question you want to start from. You can also ask for a signed NDA before details are discussed. Recognising situations in the Everyday AI section, or finishing the self-check, prefills the level and the message, so the first conversation starts from what you already told the page. The address is contact@xelerit.com, and writing directly works just as well as the form. ## Book a call A 30-minute call, no preparation needed. Online booking is still being set up, so a time is arranged by message for now. Anchor: https://ai.xelerit.com/#book The call looks at where you stand today and what a sensible first step looks like. There is no calendar to pick from yet. Sending a few times that suit you gets one confirmed.