16 PRACTICAL ANSWERS / BEFORE YOU COMMISSION
AI consulting & automation
A clearer starting point.
Assess a task before investing in an AI workflow. These guides cover useful pilots, information readiness, evaluation, human review and the ownership needed after a demonstration works.

Original AI-assisted conceptual artwork / The Absurd Company.
How do you choose a first AI use case for your business?
Choose a first AI use case with a bounded purpose, accessible inputs, an evaluator and a useful fallback.
Read the answer AI / workflow ownershipHow do you define success for an AI pilot?
Define AI pilot success before examining the tool's best output.
Read the answer AI / workflow ownershipHow do you estimate the practical value of an AI workflow?
Estimate an AI workflow's value by comparing the useful outcome and total operating effort with the current method.
Read the answer AI / workflow ownershipHow do you prepare a knowledge base for an AI assistant?
Prepare an AI knowledge base by improving the source information and its ownership before connecting an assistant to it.
Read the answer AI / workflow ownershipHow should a business compare AI tools?
Compare AI tools through a task-specific evaluation rather than a broad feature list or a single impressive demonstration.
Read the answer AI / workflow ownershipHow should you monitor errors after an AI workflow launches?
Monitor an AI workflow by defining which failures matter, how they are detected and who can act on them.
Read the answer AI / workflow ownershipShould you build or buy an AI workflow?
Compare building and buying an AI workflow by the required behaviour, integration, information controls and ongoing ownership.
Read the answer AI / workflow ownershipWhat data questions should you ask before an AI project?
Before an AI project, establish what information the workflow needs, who may access it and how the proposed systems would process it.
Read the answer AI / workflow ownershipWhat determines the cost of an AI integration?
AI integration cost depends on the workflow around the model: data preparation, system connections, evaluation, permissions, review and maintenance.
Read the answer AI / workflow ownershipWhat must change before an AI pilot goes into production?
Moving an AI pilot into production requires evidence about representative work and a plan for reliable operation.
Read the answer AI / workflow ownershipWhat should an AI automation handover include?
An AI automation handover should let the receiving team operate, evaluate, pause and change the workflow without depending on undocumented knowledge.
Read the answer AI / workflow ownershipWhat should an AI workflow audit examine?
An AI workflow audit should examine a specific piece of work, its inputs, decisions, outputs and failure consequences before proposing technology.
Read the answer AI / workflow ownershipWhat should practical AI training for a team cover?
Practical AI training should help a team use a defined workflow, recognise its limits and take responsibility for the result.
Read the answer AI / workflow ownershipWhen does an AI assistant need retrieval rather than a longer prompt?
Retrieval can help when an assistant needs relevant information from a changing collection of documents rather than a small, stable set of instructions.
Read the answer AI / workflow ownershipWhen is conventional automation a better choice than AI?
Conventional automation may be a better choice when the task follows explicit, stable rules and the inputs are structured enough to apply them reliably.
Read the answer AI / workflow ownershipWhere should human review sit in an AI workflow?
Put human review where it can meaningfully prevent or correct consequential mistakes.
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