# AI Consulting Hannover: Decide the First AI Case | Aprixity > Source: https://aprixity.run/en/ai-consulting-hannover 01 AI CONSULTING HANNOVER # AI consulting in Hannover: Make your first case decidable. The AI question is settled. We clarify the affected work, required context, and human approval. The result is a dependable decision package for separate implementation. For owners and managing directors of manufacturing and service companies committed to premium standards, where coordination ties up time, margin, and customer focus. [Request 30-min AI consulting](mailto:kontakt@aprixity.run) ## The business runs. Too much work begins with searching, transferring, and follow-up questions. Information is scattered; values are transferred by hand; approvals depend on a few experienced people. The cost appears when customers wait and decisions stall. 1. 01 Several sources must be connected by hand. 2. 02 Recurring cases wait for experienced reviewers. 3. 03 The AI trial still lacks an objective, acceptance criterion, or approval. 02 ## Two starting points. One dependable next step. Start with a concrete AI case or first clarify the cause of a visible problem. A CONCRETE AI CASE ### The case is already on the table. We bound the work, objective, context, acceptance criterion, and approval. [Frame the AI case](mailto:kontakt@aprixity.run) B STARTING POINT STILL OPEN ### The problem is visible. Its cause is not. The bottleneck check separates symptom from cause and shows the first useful starting point. [Clarify the bottleneck first](/en/bottleneck-check) 03 ## We do not choose a tool before we understand the work. First understand the work, then organize context, and only then choose the tool. 01 · WORK AND PROCESS ### We find the effort that limits the result. We follow processing, waiting, handovers, and decisions in the real workflow. This reveals the limiting step and unnecessary work. 02 · DATA AND KNOWLEDGE ### We determine the required context. We identify sources, rules, experience, and exceptions—not an abstract data model, but the basis for a dependable result. The required context becomes understandable. 03 · TOOL ### We choose the simplest solution for the bounded step. That may be a rule, template, better handover, existing system, or precisely applied AI. AI is used only where it prepares the bounded step dependably. 1. Starting point 2. Process 3. Data and knowledge 4. Tool 5. Decision package 6. Separate implementation Objectives, exceptions, and approvals remain with the accountable people. 04IMPACTS IMPACTS BY APRIXITY ## Turn an open initiative into a testable decision package. IMPACTS leads from the real problem to an implementation decision in five clear movements. 1. I ### Clarify the objective and bottleneck We define the result and the limiting step. 2. M ### Remove ballast We remove work that does not contribute to the result. 3. P ### Simplify the flow We put steps, rules, and decisions in order. 4. A ### Make knowledge usable We bring knowledge to the right step. 5. C · T · S ### Specify, test, and hand over Process boundary, context, tool choice, acceptance criterion, and approval become the implementation specification. [See IMPACTS in detail](/en/methodology) 05 ## The next move becomes decidable with complete context. The first intervention, missing foundations, acceptance criterion, and accountable approval are clear. APRIXITYDECISION / 01 1. 01 The boundary of the affected workflow 2. 02 The required data, rules, and experience 3. 03 The reason for the chosen tool 4. 04 The criterion for a good result 5. 05 The accountable human approval 6. 06 The implementation specification for the separately commissioned build ### The first case is tested against the work in the business. The measure is chosen first: less coordination, more revenue capacity, faster action, or better decisions. Not a performance promise, but a clear acceptance criterion. 06 ## AI prepares. People gain room for judgment and human contact. Searching, transferring, calculating, sorting, and checking can be prepared. People decide with complete context. The recovered room remains available for customer contact, reflection, and recovery. Consequential decisions remain with a person who is accountable for them. CONSULTING AND IMPLEMENTATION ## Consulting creates clarity. Implementation follows separately. Aprixity delivers the decision package. Building the operational system is commissioned separately afterwards. Technology follows the task: AI only where it fits more dependably than a rule, template, handover, or existing tool. [Go to the Aprixity Academy](/en/aprixity-academy) ## What matters before you get in touch. Aprixity is based in Hannover. What is the outcome of AI consulting? You receive a decision package covering the process boundary, required context, tool rationale, acceptance criterion, accountable approval, and implementation specification. Do I need a concrete AI case already? No. A concrete case leads directly into AI consulting. If only the problem is visible, the bottleneck check first clarifies the underlying cause. What is the difference between AI consulting and the Aprixity Academy? AI consulting decides a concrete operational case. The Academy enables teams through training, workshops, and analyses. Is technical implementation included in consulting? No. Consulting creates a dependable foundation for decision and implementation. Building the operational system is commissioned separately afterwards. Does Aprixity only work with companies in Hannover? No. Aprixity is based in Hannover and also works with companies outside the region and across Germany. ## Your concrete AI case is the starting point. Aprixity is based in Hannover. Send us a case held up by searching, transferring, follow-up questions, or approvals. We clarify the decision and implementation specification. [Request 30-min AI consulting](mailto:kontakt@aprixity.run)[Open the bottleneck check](/en/bottleneck-check)