Axiant launches with a process-first methodology constructed on a easy argument: most automation failures should not expertise issues.
In keeping with a extensively cited trade analyst report, 85 % of AI and automation tasks fail. The statistic is extensively cited. What’s much less extensively examined is why.
Lubbock, TEXAS, Could 04, 2026 (GLOBE NEWSWIRE) — Axiant, a enterprise course of automation consultancy launching at this time, has spent years finding out that query, and its reply is constant throughout trade, firm measurement, and expertise platform. The automation is just not the issue. The method beneath it’s.
Official emblem for Axiant.
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“Companies aren’t failing because they moved too fast,” says Jeff Woodham, Govt Vice President of Axiant. “They’re failing because they skipped the step that makes automation work.”
The sample exhibits up throughout industries. A significant confectionery producer went dwell on a nine-figure ERP implementation two months earlier than its most crucial gross sales interval of the 12 months. The system functioned. The method it was constructed on didn’t. The corporate couldn’t route current stock to ready orders and missed greater than $100 million in gross sales, in keeping with extensively reported trade protection. A world quick meals chain ran a multi-year AI drive-thru ordering pilot throughout greater than 100 places earlier than discontinuing it in 2024, in keeping with extensively reported trade protection, not as a result of the expertise malfunctioned, however as a result of its error fee was operationally unacceptable at scale. A significant retailer manually entered product information for tens of 1000’s of SKUs into a brand new enterprise system below deadline strain, with no validation layer and no course of to make sure accuracy, in keeping with a printed autopsy evaluation of the case. Shops opened with empty cabinets and by no means recovered.
In every case, the finances was enough. The expertise was accessible. The method was not prepared.
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Axiant’s proprietary methodology, known as Course of First Automation (PFA), was constructed to deal with precisely this hole. Earlier than any platform is chosen or vendor is engaged, Axiant runs a structured diagnostic that determines whether or not a course of is able to be automated, whether or not it must be redesigned first, or whether or not automation is the improper determination totally. The result is a documented operational baseline that any implementation could be measured in opposition to.
“The technology in most of these failures was not the problem,” Woodham mentioned. “The problem was that no one had defined what the process was supposed to produce before the technology was turned on. We start there. Every engagement, every time.”
The automation trade has largely constructed itself round platform choice and implementation velocity. Axiant is constructed across the query that precedes each.
For extra data, go to axiant.co.
About Axiant
Axiant is a enterprise course of automation consultancy serving to organizations obtain lasting operational transformation via its proprietary Course of First Automation (PFA) methodology. PFA ties each automation funding on to measurable enterprise outcomes, making certain purchasers construct automation methods grounded in course of readability, diagnostic rigor, and provable affect. Axiant serves organizations prepared to maneuver past reactive expertise adoption and towards automation that scales. Begin with the method. Show it with the result.
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Press Inquiries
Jeff Woodhaminfo [at] axiant.cohttps://www.axiant.co4521 98th St, Lubbock, TX 79424
