AI for everyday work
Start with one task and the software you already have. Explore where a tool helps and which checks still need to be made.
Read: AI in existing softwareExplore AI consultingKnowledge
Less rekeying, earlier checks for errors or more reliable file transfers: explore how to approach these questions. Find practical examples, explanations of automation and tools for choosing a first step.
Would you like to understand the options first, or do you already have a concrete question? Choose a topic below to start reading or explore what you can discuss with Joshua.
Start with one task and the software you already have. Explore where a tool helps and which checks still need to be made.
Read: AI in existing softwareExplore AI consultingExplore data entry, checks and handovers. Use one familiar process as your starting point.
Read: processing email ordersExplore process automationA file is missing, a script is difficult to maintain or processing is unknown. Start with the bottleneck in the chain.
Read: sent versus processedExplore MFT consultingAlso useful: Invoice processing · Costs and business case · External automation case · External transfer case
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25 resources
Reading times are estimates for the explanation. Completing a worksheet or running a trial takes additional time.
Choose one AI task, compare existing options and test draft replies. Follow six steps covering sources, human review and an informed follow-up question.
Define your process question and work through a canvas, pilot, trial log and evaluation. Use the findings to decide whether to continue, adjust or stop.
Clarify arrival, processing and recovery for one critical file transfer. Use the fictional chain trial and worksheet to record evidence, ownership and agreements.
Follow an order from inbox to confirmed entry. Explore data checks, exceptions and a fictional trial you can adapt in the process canvas.
Compare integration and RPA for one data handover. Assess authoritative data, confirmations, duplicate processing and maintenance before choosing.
Follow an invoice from receipt to approval. Explore data checks, exceptions and a fictional trial with a verifiable final status.
Compare measured work with implementation, running and recovery costs. Use three fictional scenarios to identify which assumption to test first.
Establish what did and did not run before retrying. Distinguish technical failures, business exceptions and unknown outcomes.
Separate what AI may suggest from what it may execute. Make human review practical and test the mistakes that matter most.
A successful transfer does not prove processing. Check transport, arrival, validation and processing before deciding to submit a file again.
Choose one trial question, define its scope and agree test cases and responsibilities. Decide in advance when to continue, adjust or stop.
Map one process: steps, systems, data, exceptions and ownership. Start from scratch or adapt a fictional example, then save the canvas for your next discussion.
Check scope, access, test cases and stopping criteria. Connect the pilot to a trial log, evaluation and handover; a completed checklist is not approval.
Decide when a better Excel setup is enough and when integration is needed. Explore consistent sources, checks and handovers for a recurring report.
Compare a standalone AI tool, shared working practices and an integrated workflow. Consider the task, data use, human review and the full effort involved.
Test one task against what your current software can do. Check capabilities, licences, data use and human review before adding another tool.
Assess both the information and the specific AI setup. Compare data use, processing, access and terms; no training is not the same as running locally.
Make seven agreements covering the task, tool, information, instructions and review. Use a fictional service team to discuss ownership and exceptions.
Agree who decides during an interruption and which files have already been processed. Practise temporary arrangements and checks before resuming.
Assess recurring work for clear steps, data and exceptions. Use eight questions to build a shortlist and identify when further investigation is needed.
Compare screen actions, fixed workflow steps, API integration and AI support. Decide what fits your process before combining technologies.
Agree who decides, handles failures, checks changes and assesses results. Use six decision points to discuss maintenance and responsibilities.
Compare SFTP as a transfer protocol with managing a complete chain. Use six questions about scheduling, checks, partners and recovery to clarify your needs.
Map scripts, dependencies and owners. Follow seven migration steps covering tests, fallback and confirmation before retiring the old route.
Turn a missed delivery into a concrete action. Connect alerts, processing and recovery to an owner and record what evidence confirms the chain status.
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Process exampleAutomation
A customer emails an order. Someone opens the attachment, looks up the products and enters the order lines into the system. A missing delivery date starts another exchange of emails. Which parts could be simpler, and which checks should stay?
Read the articleStart with one task, process or transfer. Each guide connects explanations with existing resources and a suitable next step.
Choose one AI task, check sources and data use, and assess draft replies with canvas, pilot and trial log. Human approval remains separate.
Guide overview →From process question through canvas and pilot to trial log, evaluation and next step. Six steps using existing tools and practical examples.
Guide overview →Evidence of processing, ownership and recovery, with an editable worksheet.
Guide overview →Describe the step that keeps creating work. You do not need to have chosen a solution.
Discuss your process