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Find your first AI workflow.

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Find Your First AI Workflow

Answer one question at a time. You can go back and change an answer at any point. The recommendation updates as you progress.

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Choose an answer to start seeing the most likely first AI workflow.

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Question 1 Which work creates the most pressure right now? Choose the recurring workflow that already has a visible cost for the team.

Recurring reports, summaries, and status updates The team loses time collecting data and explaining what changed. Finding answers in documents, policies, or history People ask the same questions or struggle to locate the right context. Drafts, proposals, emails, or documents for review Work starts from a blank page even though the pattern repeats. Sales, support, or customer follow-up Next steps get missed, replies slow down, or visibility is weak. Tasks across several systems that need approval The process needs action, but risk requires clear stop points.

Question 2 How often does this workflow happen? AI creates more value when the workflow repeats often enough to learn and measure.

A few times per year It may matter, but it is probably not the fastest pilot. Monthly or weekly There is enough repetition for a structured test. Every day A strong candidate if ownership and context are clear. Many times per day A strong candidate if risk and review are controlled.

Question 3 Is there a clear owner for the result? The first AI workflow needs someone who can say whether the output is useful.

Yes, there is one named owner This is a strong readiness signal. There is a team, but not one person Possible, but the reviewer needs to be clarified. Not yet The first step is likely workflow clarification, not automation.

Question 4 Where does the needed context live? You do not need a perfect data stack, but you need enough accessible context.

A few documents, spreadsheets, or folders A good start for an assistant or summary layer. ERP, CRM, database, or recurring exports A good start for reporting, analysis, and management visibility. Scattered, but accessible Possible if the first scope is narrowed. Not accessible or unknown The first step is context preparation.

Question 5 What output would be most useful? Choose the kind of output that would save time or improve decisions.

A short report or management summary Fits a reporting and visibility workflow. An answer with a source or citation Fits a knowledge assistant. A draft that a person edits and approves Fits a drafting workflow. A list of next actions Fits sales, support, or operational follow-up. An action that must stop for approval Fits a governed AI agent, not a fully autonomous start.

Question 6 What is the risk if the output is wrong? Higher risk means stronger boundaries and human review.

Low, internal orientation only Usually suitable for a fast pilot. Medium, it influences a business decision Needs clear sources and review. Customer-facing or external output Suitable only with a human in the loop. Regulated, contractual, or confidential context Controls, access, and responsibility must be clarified first.

Question 7 Who can review the output at the start? Without a review habit, a pilot easily becomes another untrusted experiment.

The same owner can review every week A very good adoption signal. A team lead can review key outputs Works if the quality criteria are clear. Nobody can review regularly Ownership and acceptance need to be clarified first.

Question 8 What would prove value in 30 days? Choose the clearest signal that the first AI workflow is worth continuing.

Hours saved on repeated work Fits reporting, drafting, and research workflows. A faster decision with better context Fits reporting, knowledge, and leadership workflows. Fewer missed follow-ups Fits sales, support, and operations. More visibility and control Fits workflows that need clear responsibility.

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