{"id":1418,"date":"2026-07-10T07:00:19","date_gmt":"2026-07-10T07:00:19","guid":{"rendered":"https:\/\/ignamicros-39f34873ea-bpaacjbwcxhdezaw.z03.azurefd.net\/?post_type=articles&p=1418"},"modified":"2026-07-16T12:58:06","modified_gmt":"2026-07-16T12:58:06","slug":"how-we-evaluate-whether-a-workflow-is-ready-for-ai","status":"publish","type":"articles","link":"https:\/\/www.ignatiuz.com\/igna\/articles\/how-we-evaluate-whether-a-workflow-is-ready-for-ai\/","title":{"rendered":"How We Evaluate Whether a Workflow Is Ready for AI"},"content":{"rendered":"\t\t
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Insights<\/strong><\/p>\n\t\t\t\t

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How We Evaluate Whether a Workflow Is Ready for AI<\/h1>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t

The best AI projects don't begin with the most exciting ideas. They begin with the right workflows.<\/p>\n\t\t\n<\/div>\n\n<\/div>\n\n<\/div>\n

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\n\t\t\t\t\t\t\t\t\tOne of the biggest misconceptions about AI is that every repetitive task should be automated.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\tIn reality, not every workflow is a good candidate for AI.\t\t\t\t\t\t\t\t<\/div>\n\t\t
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From the field<\/strong><\/p>\n\t\t\t\t\t

Over the years, we've watched a team spend nearly a year trying to automate an exceptions-handling process that changed almost every quarter depending on which regulations happened to be in effect. Down the hall, a far less exciting workflow - routing routine service requests to the right department - took six weeks to deploy and became the team's most-used tool almost immediately, without a single week of change requests.<\/p>\n\t\t\n<\/div>\n\n<\/div>\n\t\t

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The difference wasn’t the technology.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t

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It was choosing the right place to start.<\/strong><\/p>\n\t\t\n<\/div>\n\n<\/div>\n\t\t

\n\t\t\t\t\t\t\t\t\tThat’s why one of the first things we do before recommending an AI agent is evaluate the workflow itself.\t\t\t\t\t\t\t\t<\/div>\n\t\t\n<\/div>\n
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Frustration Isn't the Same as Readiness<\/strong><\/h2>\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\tWhen leaders first begin exploring AI, they often identify the most frustrating process in the organization. It makes sense. If something causes daily headaches, AI feels like the obvious solution.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\tBut frustration doesn’t necessarily mean readiness.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\tSometimes the workflow isn’t documented. Sometimes different departments follow different versions of the process. Sometimes no one owns it.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\tDeploying AI into that environment rarely simplifies the work – it simply exposes the inconsistency that already existed.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\tWe’ve found that successful AI deployments begin with workflows that are stable enough to support automation and important enough to create measurable value.\t\t\t\t\t\t\t\t<\/div>\n\t\t\n<\/div>\n
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The Seven Questions We Ask<\/strong><\/h2>\n\t\t\t\t
\n\t\t\t\t\t\t\t\t\tEvery workflow we evaluate is measured against seven practical questions. Not because AI requires perfection, but because these questions consistently predict successful deployments.\t\t\t\t\t\t\t\t<\/div>\n\t\t
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01 <\/strong><\/p>\n\t\t\n<\/div>\n

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Is the workflow repeated often?<\/strong><\/p>\n\t\t\t\t

\n\t\t\t\t\t\t\t\t\tAI creates the most value when it supports work that happens every day, not once or twice a year. Examples include:\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t
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  • \n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\tAnswering policy questions<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t
  • \n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\tReviewing documents<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t
  • \n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\tProcessing requests<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t
  • \n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\tRouting service tickets<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t
  • \n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\tSummarizing meetings<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t
  • \n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\tPreparing reports<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t
    \n\t\t\t\t\t\t\t\t\tIf a process only occurs occasionally, automation may not justify the investment.\t\t\t\t\t\t\t\t<\/div>\n\t\t\n<\/div>\n\n<\/div>\n
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    02<\/strong><\/p>\n\t\t\n<\/div>\n

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    Is there a trusted source of information?<\/strong><\/p>\n\t\t\t\t

    \n\t\t\t\t\t\t\t\t\tAI depends on reliable knowledge. If employees regularly ask, “Which version of this policy should I use?”<\/strong> the workflow probably isn’t ready. Strong workflows have:\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t
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    • \n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\tApproved documents<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t
    • \n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\tClear ownership<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t
    • \n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\tConsistent information<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t
    • \n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\tDefined review cycles<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\n<\/div>\n\n<\/div>\n
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      03<\/strong><\/p>\n\t\t\n<\/div>\n

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      Does someone own the process?<\/strong><\/p>\n\t\t\t\t

      \n\t\t\t\t\t\t\t\t\tOne question often uncovers more than any other: “Who is responsible for this workflow?”<\/strong> When the answer is unclear, AI becomes difficult to maintain.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t
      \n\t\t\t\t\t\t\t\t\tSuccessful AI projects always have a business owner – not just a technical owner. That person defines success, approves changes, and ensures the workflow continues to improve over time.\t\t\t\t\t\t\t\t<\/div>\n\t\t\n<\/div>\n\n<\/div>\n
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      04<\/strong><\/p>\n\t\t\n<\/div>\n

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      Can success be measured?<\/strong><\/p>\n\t\t\t\t

      \n\t\t\t\t\t\t\t\t\tAI shouldn’t be deployed simply because it’s possible. Every project should answer a simple question: what outcome are we trying to improve?<\/strong> When the answer is unclear, AI becomes difficult to maintain.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t
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      • \n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\tFaster response times<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t
      • \n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\tReduced manual effort<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t
      • \n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\tIncreased consistency<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t
      • \n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\tHigher customer satisfaction<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t
      • \n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\tBetter compliance<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t
      • \n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t<\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\tShorter processing times<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t
        \n\t\t\t\t\t\t\t\t\tWithout measurable outcomes, it’s difficult to know whether AI is creating value.\t\t\t\t\t\t\t\t<\/div>\n\t\t\n<\/div>\n\n<\/div>\n
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        05<\/strong><\/p>\n\t\t\n<\/div>\n

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        Is human judgment still important?<\/strong><\/p>\n\t\t\t\t

        \n\t\t\t\t\t\t\t\t\tOne of the biggest myths about AI is that every decision should be automated. We disagree. Some workflows should remain fully human. Others benefit from AI recommendations with human approval. Still others can be safely automated end to end.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t
        \n\t\t\t\t\t\t\t\t\tUnderstanding where human expertise adds value is just as important as identifying where AI can help. The goal isn’t replacing people. It’s allowing people to focus on higher-value work.\t\t\t\t\t\t\t\t<\/div>\n\t\t\n<\/div>\n\n<\/div>\n
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        06<\/strong><\/p>\n\t\t\n<\/div>\n

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        Are the systems connected?<\/strong><\/p>\n\t\t\t\t

        \n\t\t\t\t\t\t\t\t\tMany workflows depend on information spread across multiple applications. Documents may live in SharePoint. Customer information may be stored in a CRM. Financial data may exist inside an ERP. Policies may be stored elsewhere.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t
        \n\t\t\t\t\t\t\t\t\tA workflow doesn’t necessarily need perfect integration to succeed – but understanding where information lives helps determine the right deployment strategy.\t\t\t\t\t\t\t\t<\/div>\n\t\t\n<\/div>\n\n<\/div>\n
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        07<\/strong><\/p>\n\t\t\n<\/div>\n

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        Will people actually use it?<\/strong><\/p>\n\t\t\t\t

        \n\t\t\t\t\t\t\t\t\tThis may be the most overlooked question of all. We’ve seen technically impressive AI projects struggle because they didn’t fit naturally into how people already worked.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t
        \n\t\t\t\t\t\t\t\t\tThe most successful deployments feel intuitive. They meet employees where they already are – in Teams, on a website, inside an existing application, or within a familiar workflow.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t
        \n\t\t\t\t\t\t\t\t\tAdoption isn’t something that happens after deployment. It’s something you design for from the beginning.\t\t\t\t\t\t\t\t<\/div>\n\t\t\n<\/div>\n\n<\/div>\n\n<\/div>\n
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        A Simple Workflow Readiness Scorecard<\/strong><\/h2>\n\t\t\t\t
        \n\t\t\t\t\t\t\t\t\tWe often evaluate workflows using a simple maturity scale.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t
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        Evaluation Area<\/th>\r\n Low Readiness<\/th>\r\n High Readiness<\/th>\r\n <\/tr>\r\n <\/thead>\r\n
        Frequency<\/td>\r\n Rarely performed<\/td> Performed daily or weekly<\/td>\r\n <\/tr>\r\n
        Knowledge<\/td>\r\n Multiple conflicting sources<\/td>\r\n Single approved source<\/td>\r\n <\/tr>\r\n
        Ownership<\/td>\r\n No clear owner<\/td>\r\n Business owner assigned<\/td>\r\n <\/tr>\r\n
        Success Metrics<\/td>\r\n Undefined<\/td>\r\n Clearly measurable<\/td>\r\n <\/tr>\r\n
        Human Review<\/td>\r\n Unclear decision points<\/td>\r\n Review responsibilities defined<\/td>\r\n <\/tr>\r\n
        Systems<\/td>\r\n Unknown dependencies<\/td>\r\n Systems identified and accessible<\/td>\r\n <\/tr>\r\n
        User Adoption<\/td>\r\n New process required<\/td>\r\n Fits naturally into existing work<\/td>\r\n <\/tr>\r\n <\/tbody>\r\n <\/table>\r\n<\/div>\r\n