AI
Around 90% of SME AI projects fail because businesses buy tools before preparing data, processes, and governance. Only about 9% of companies are fully AI-ready on data. The 10% that succeed start with one low-risk use case on clean data, measure results, then expand.
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Tool-first thinking. A business buys the AI product before preparing the ground: no knowledge base for it to read, no documented process to plug into, no governance, and data the model cannot trust. The failure is upstream of the AI itself. Industry reporting puts only around 9% of companies as fully AI-ready on data, which is the same story told from the other direction.
They treat AI as an operations project, not a purchase. That means starting with one internal, low-risk use case, running it on clean data, measuring the result, and only then expanding. Nothing exotic: just sequence and discipline. Readiness first, one clear win, then the next one.
Four things. Clean, connected data. A knowledge base the AI can draw answers from. Documented workflows so the AI has a defined job. And lightweight governance: what data the AI may see, where a human stays in the loop, and an audit trail. None of this needs enterprise overhead for an SME, but skipping it is what turns a promising pilot into an abandoned one.
Pick a use case that saves time without customer-facing risk: answering staff questions from your own documents, drafting replies, or triaging inbound work. Keep a human in the loop, measure the hours it saves, and use that result to justify the next step. Small, internal, and measured beats big, external, and hopeful every time.
FAQ
Reporting across enterprise and SME pilots consistently shows most fail to reach production. The exact figure varies by study, but the common thread is never the model: it is data quality, process documentation, and governance that were never put in place before the tool arrived.
An internal one on your own data: answering staff questions from a knowledge base, drafting responses, or triaging inbound requests. It saves measurable time, carries little customer-facing risk, and gives you a real result to build the next use case on.
No. Emendo builds on your own data and stays vendor-agnostic, so you can change models as the market moves. AI readiness is assessed as part of the $1,990 Business Readiness Audit, credited toward any engagement.
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$1,990 inc GST
Fixed price. Two weeks. Written scorecard and roadmap. Fee fully credited toward any engagement commenced within 90 days.
This guide is general. The Business Readiness Audit answers these questions for your business specifically.