AI automation: from email to a controlled action
See how AI can help process a fictional email using fixed rules, controlled actions, human review and a trial that measures the whole business process.
See how a process, application or integration can work. Short animations with narration, captions, a transcript and the source article.
See how AI can help process a fictional email using fixed rules, controlled actions, human review and a trial that measures the whole business process.
Recent explanations, scenarios and practical choices from OXIAE.
1:38See how AI can help process a fictional email using fixed rules, controlled actions, human review and a trial that measures the whole business process.
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1:44Follow a fictional registration through an n8n workflow and see why visible failures, stable references and controlled recovery matter to daily operation.
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1:52Use a fictional service request to see how teams can automate handovers with clear information, meaningful states, accountable owners and exception paths.
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1:49See how a fictional invoice moves through checks and exceptions, keeping missing information and repeated inputs from passing into another system unnoticed.
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1:51Use a fictional purchase request to learn when fixed workflow rules are sufficient and how to check clear states, repeated requests and exception paths.
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1:45Follow a fictional project assistant as it gathers information and prepares a proposal, with restricted tools, explicit permissions and a clear stopping point.
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1:52An illustrative CRM request shows how an API integration handles repeated messages, invalid fields and a timeout whose outcome has not yet been established.
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1:47Explore OXIAE’s website subscription: €350 a month excluding VAT, with hosting, maintenance, SEO and weekly articles, an informative video and a useful tool.
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1:51Use a fictional sales enquiry to see how an AI agent separates facts, unknown information and suggested next steps while a salesperson retains the decision.
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1:51Follow a fictional support question from intake to human acceptance and see why a ticket, queue placement and an accepted case are different states.
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1:46See how a fictional course enquiry reveals whether a website chatbot uses relevant source pages, preserves conditions and recognises missing information.
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1:50Examine a fictional answer about business documents and learn to check passages, conditions, missing information and conflicting versions separately.
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1:51Use a fictional procedure question to trace a RAG failure to missing sources, missed passages, incorrect use of context or access controls before answering.
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1:52Follow a fictional work instruction through its lifecycle and see how source owners, versions, access permissions and deletion keep an AI knowledge base manageable.
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1:55Use a fictional assistant to examine where business information is processed and retained, from documents and model input to search indexes, logs and backups.
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1:57Make ChatGPT useful for your team with shared tasks, permitted information and review. An illustrative example shows how to organise a practical team trial.
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1:55Compare language models on the same maintenance reports. Assess output format, source accuracy, total waiting time and review effort before choosing a model.
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1:59See how model output becomes controlled application input. An illustrative report explains field validation, content checks, error handling and permissions.
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2:00Follow customer details, work status and invoice data through three fictional systems. See why each integration field needs an agreed source and direction.
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1:58An illustrative CRM example explains stable source references. See why matching rules, shared email addresses and human review matter when linking customer records.
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1:56An illustrative workflow compares configuration, integration and custom development. Identify the constraint that needs your own software and plan its maintenance.
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2:00An illustrative quotation tool shows how an MVP examines one assumption. Separate a working product, independent task completion and evidence of willingness to pay.
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1:51An illustrative worklist shows how a dashboard leads back to source records. Check definitions, filters, freshness and the difference between zero and missing data.
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2:01An illustrative management meeting shows how to investigate an exception. Compare equivalent periods and give follow-up work an owner and a review date.
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1:54Three fictional AI ideas receive different next steps. See how sources, ownership and dependencies create an actionable sequence without invented ROI claims.
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2:00An illustrative recovery question separates missing evidence from a demonstrated defect. Make scope, impact, follow-up action and verification clear in an audit.
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