# Process optimization: Understand, simplify, automate | Aprixity > Source: https://aprixity.run/en/aprixity-academy APRIXITY ACADEMY # Process optimization: Understand, simplify, automate. Training, workshops and analyses for companies that want to use AI safely, make their data usable and improve processes with precision. [View programs](#programme) PROGRAMS ## Where would you like to start? You can start at any point. - [PeopleUse AI safelyView AI Literacy Training](#angebot-ki-kompetenz) - [DataOrganise data and knowledgeView Data Workshop](#angebot-daten-workshop) - [ProcessesMake processes visibleView Process Capture](#angebot-prozess-aufnahme) - [DecisionsIdentify the bottleneckView Bottleneck Analysis](#angebot-engpass-analyse) ## Tailored to your operation. Content, examples and exercises reflect your existing stack, your real workflows and your team's experience. Before the session, three short questions clarify the systems you use, the team's experience and the workflow that should improve. ## AI literacy ### AI Literacy Training (Article 4 EU AI Act) Situation AI is already in use or planned, but the team lacks a shared operating standard. Content Context-specific work on the AI systems in use: roles and prior knowledge, purpose, affected groups, risks, safe use, limitations and human responsibility. Format In-house training for teams Retained artifact Internal record of systems, risks, learning objectives, content and participants Boundary Training and internal documentation; no system implementation, individual legal advice, certification or compliance guarantee. [Enquire about AI literacy training](mailto:hello@aprixity.run?subject=AI+Literacy+Training+%28Article+4+EU+AI+Act%29&body=Three+short+details+help+us+prepare+the+offer+for+your+operation%3A%0A%0A1.+Which+systems+do+you+use+in+the+relevant+workflow%3F%0A2.+How+does+your+team+use+AI+and+data+today%3F%0A3.+Which+workflow+or+decision+should+improve%3F) ## Data & company knowledge ### Data Workshop Situation Relevant data and operational knowledge exist, but there is no shared view of sources, quality, gaps and ownership. Content Data quality and knowledge documentation as prerequisites for dependable AI use. Format facilitated workshop Retained artifact Data map and knowledge inventory Boundary Shared inventory and decision basis; no prototype or system implementation. [Enquire about the Data Workshop](mailto:hello@aprixity.run?subject=Data+Workshop&body=Three+short+details+help+us+prepare+the+offer+for+your+operation%3A%0A%0A1.+Which+systems+do+you+use+in+the+relevant+workflow%3F%0A2.+How+does+your+team+use+AI+and+data+today%3F%0A3.+Which+workflow+or+decision+should+improve%3F) ## Processes & automation ### Process Capture Situation There is no reliable view of the current process, making work, waiting, handoffs and information loss difficult to see. Content Make the work sequence visible, identify bottlenecks and establish decision criteria for prioritization. Format facilitated on-site workshop Retained artifact Process landscape, bottlenecks and prioritization matrix Boundary Visibility and prioritization; no implementation roadmap or system build. [Enquire about Process Capture](mailto:hello@aprixity.run?subject=Process+Capture&body=Three+short+details+help+us+prepare+the+offer+for+your+operation%3A%0A%0A1.+Which+systems+do+you+use+in+the+relevant+workflow%3F%0A2.+How+does+your+team+use+AI+and+data+today%3F%0A3.+Which+workflow+or+decision+should+improve%3F) ### Bottleneck Analysis Situation A usable process map and target exist, but the binding constraint and sensible implementation order are unclear. Content Structured analysis of the constraint, its operational effects and the order of possible interventions. Format structured analysis Retained artifact Prioritized roadmap Boundary Prioritization and implementation order; no process capture or implementation. [Enquire about Bottleneck Analysis](mailto:hello@aprixity.run?subject=Bottleneck+Analysis&body=Three+short+details+help+us+prepare+the+offer+for+your+operation%3A%0A%0A1.+Which+systems+do+you+use+in+the+relevant+workflow%3F%0A2.+How+does+your+team+use+AI+and+data+today%3F%0A3.+Which+workflow+or+decision+should+improve%3F) ## A concrete case rather than a learning objective? The Academy enables teams. A concrete operational AI case that needs a decision belongs in AI consulting. [Go to AI consulting Hannover](/en/ai-consulting-hannover) ## The method in five thought movements Understand first, then simplify, then automate. Clarify the target and constraint. Remove ballast. Simplify the flow. Make knowledge explicit. Prove it on a small scale. [View the method](/en/aprixity-academy/methode) ## Frequently asked questions ### Do we need prior AI knowledge? ### We already use AI. Is the portfolio still relevant? ### Does this fit our industry? ### Is this about specific AI tools? ### What does Article 4 of the EU AI Act require? Providers and deployers of AI systems must take measures to support the development of AI literacy among their staff and other persons dealing with the operation or use of AI systems on their behalf. Appropriate measures depend on prior knowledge, roles, systems used, purpose and risks. Article 4 mandates neither a specific individual competence level nor a certificate or uniform course format; training, guidance and other measures can be documented internally. ### “Our processes are too complex for that.” Most processes are not complex but complicated: many steps, yet each one can be traced. A complicated process can be mapped, simplified and then automated with precision. The size of your company is no reason to stop — it is the reason to start by understanding. ### What remains after an engagement? ### Questions about the appropriate offer? Write to us with the process or situation you want to clarify. [hello@aprixity.run](mailto:hello@aprixity.run)