ServiceNow wants to make leaving Salesforce a matter of weeks

ServiceNow has launched a product called the Autonomous CRM Engine, an AI-native tool built to move enterprises off legacy customer relationship management platforms in weeks rather than the months or years such projects typically take 1

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. It is aimed squarely at the switching costs that keep customers locked with incumbent vendors 1

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How it claims to compress months into weeks

Amit Zavery, ServiceNow's president and chief product and operating officer, put the problem plainly: "The problem that enterprises find is that the switching costs are high. It takes time to move from one system to the modern system. [There's also] the double bubble, right? Where you will have to also have the old legacy system running while they transition to the new modern CRM capabilities from ServiceNow" 1

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The tool works in four stages, per the vendor's description: it maps how the existing system is actually used, designs a replacement based on ServiceNow's industry practices, then builds and deploys the approved changes 1

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. Afterwards it watches for configuration drift 2

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. It then applies AI to rebuild how sales approvals and service requests actually run 2

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. ServiceNow says it can even expose gaps between documented procedures and what staff actually do, including bypassed approval steps 2

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Discovery is the heart of the speed claim: interviewing employees across departments is normally the most time-consuming part of a CRM overhaul. "We're able to collapse that into literally days where we show them how all their sales processes occur by product line," said Terence Chesire, the company's group vice president for CRM and industry workflows 2

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. Zavery said migration timelines vary by customer. With existing users, migrations have run in months instead of years, or weeks instead of months, and discovery can produce a timeline before a contract is signed 1

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Aimed at Salesforce, and at the incumbents' argument

The initial rollout works only on Salesforce, the CRM giant that one report describes as dominating the enterprise footprint, with support for other platforms planned 2

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. Zavery's case against the incumbents is that their AI additions are fragmented extensions of old architectures, built on the same foundation "90 per cent of the time" 1

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. Rivals, he argues, have little incentive to tell customers to throw away what they already have 1

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. Incumbents would answer that they are already shipping modern, AI-driven systems of their own 1

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ServiceNow is pushing from growth, not desperation: its CRM and Industry Workflows business has passed $2 billion in annual contract value 2

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. The company says net new CRM contract value tripled in the third quarter 2

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. The timing has help from outside the company too. Gartner warned last year that legacy CRM creates hidden maintenance expenses and integration dependencies. The analyst also predicts that by 2028 most enterprises will treat outdated CRM as an obstacle to using AI 2

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The receipts question

The biggest caveat comes from ServiceNow itself. Chesire acknowledged the company has conducted no comparative productivity studies against competing CRM platforms, so the benefit claims rest on demos and customer anecdotes 2

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. He also conceded that automation does not remove hard organizational decisions, and that the hardest part is the linkages to other systems. "The parts that potentially get extended are all those linkages to other systems because we always land inside a heterogeneous environment," he said 2

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. ServiceNow's answer is its Workflow Data Fabric, which reads external data without copying it, plus robotic process automation for older applications 2

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The Engine is available now, with continuous configuration monitoring and eventually autonomous operation planned for 2027 2

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. Whether any of it shifts the status quo is a separate question. The diginomica reporter raised the counterpoint that speed can work against effective change when people need time to adapt 1

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. Zavery said he sees little friction because customers are already frustrated with what they have 1

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. Buyers, meanwhile, have shown little appetite so far for dropping the systems they already run. In diginomica's February survey of its chief information officer community, 78 percent said AI alternatives had not yet led them to drop or trim any SaaS renewals 1

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