Agentic AI Workflows: ServiceNow Bets on Autonomous Automation

From Automation to Autonomy

For most of the past decade, workflow automation meant scripting predictable steps: route this ticket, fill that form, trigger the next approval. The emerging pitch from enterprise software vendors and analysts is more ambitious. The new goal is software that carries out work and also decides which work matters and then sees it through.

That is the premise behind what the industry now calls agentic workflows. Commentary in CIO frames the shift bluntly: AI is poised to outgrow the workflows companies have built around it. The next generation of systems is expected to prioritize and act rather than simply execute instructions 1. The piece anchors that claim in a Gartner forecast that at least 15% of day-to-day work decisions will be made autonomously through agentic AI by 2028, compared with effectively none in 2024 1.

The figure deserves careful reading. Fifteen percent of routine decisions is not a takeover of the workplace. But a move from zero to a meaningful share of operational choices in roughly four years would be a steep adoption curve for any enterprise technology. It is even steeper for one that hands judgment, not just labor, to software.

ServiceNow's Concrete Bet

Where the analyst view sketches the destination, ServiceNow is trying to sell the vehicle. The company announced AI Workflow Factory at its World Forum event in Mumbai. The product is designed to turn workflow improvement into a continuous loop driven by agentic AI rather than a periodic, project-based exercise 2. Alongside it comes Autonomous Engineer, which offers what ServiceNow describes as unattended coding. The tool autonomously plans, builds, and tests implementation work 2.

The company's headline promise is speed. Enterprises can supposedly scale business operations "in days, not months" 2. Both products are positioned as operating under AI Control Tower, ServiceNow's governance layer 2. Developers get a single environment for scaling delivery while, according to the company, retaining control over critical decisions 2.

That last point is where the two perspectives meet most directly. The CIO argument emphasizes AI that decides 1. ServiceNow's messaging pairs autonomy with an explicit promise that humans keep authority over the decisions that matter most 2. These positions are not contradictory, but they reveal the central tension in the category. Vendors need to sell autonomy as a productivity gain while reassuring buyers that autonomy will not slip out of their hands.

Why India, and Why Partners

The choice of Mumbai as the launch venue is telling. ServiceNow presented the announcement as reinforcing India's status as a key market for governed, enterprise-wide AI transformation 2. Its Indian partner ecosystem is already adopting AI Workflow Factory and the new developer capabilities 2.

Accenture's Bhaskar Babu, who leads the firm's ServiceNow business group in India, argued that the next phase of AI requires connected execution rather than fragmented point solutions 2. He said the product could help clients close the gap between AI spending and measurable business outcomes, while preserving the visibility and governance needed to expand AI across an organization 2.

That "gap between AI investment and outcomes" framing is perhaps the most revealing line of the launch. It implicitly concedes that many enterprises have spent heavily on AI without clear returns. Agentic workflows are being positioned as the fix: a way to wire AI into the systems companies already run instead of bolting on isolated pilots.

The Labor Question in the Background

Coverage of the launch has linked agentic automation to mounting job cuts across the technology sector 2. No direct causal link is established. Still, the juxtaposition is hard to ignore when a product's selling points include unattended coding and compressing months of implementation work into days. Tools that plan, build, and test software autonomously will inevitably raise questions about which roles shrink, which change, and which grow around oversight and governance.

The Verdict

Taken together, the analyst forecast and the ServiceNow launch point in the same direction. The market is moving from AI as an assistant to AI as an operator, and governance is the price of admission. The Gartner number suggests the shift is real but bounded 1. ServiceNow's packaging suggests vendors know buyers will only accept autonomy if it arrives wrapped in controls 2.

The more skeptical reading is that "agentic" risks becoming the latest rebranding of automation. The real test will not be launch-day claims about speed. It will be whether enterprises can show that autonomous decisions are accurate, auditable, and tied to the business outcomes that earlier AI spending often failed to deliver. Until that evidence accumulates, agentic workflows are best understood as a credible direction with an unproven return.