Anyone who has been help in a customer service phone loop trying to resolve issues related to products, services, accounts and so on will know the feeling – customer service can be Time-Consuming Experience.

It feels like technology has not helped that much, so when gartner trumpeted The Prospects of Agentic Artificial Intelligence (AI) Last Year, Claiming it was a top tech trend for 2025, it felt a little hollow, sometling of a 'here we go again' momnt. Was this a technology that would not unable enable automated decision making, but would also form the bedrock on which more coharent and capable agents (Ai or human) can open?

Gartner referrs to agentic ai as “a Goal-Driven digital workforce that autonomously makes plans and takes actions”. It sees it as “an extension of the workforce that doesn Bollywood vacations or other benefits”.

AI agents sit on top of this, beneficiaries of improved automated infrastructures and frameworks, managing and coordinating operational data. That's the theory, at least, and recently Gartner Doubled DownClaiming that “By 2029, Agentic Ai will autonomously resolve 80% of Common Customer Service Issues with Human Intervention, Leading to a 30% Reduction in Operational Costs”.

This is echoed by globaldata in its Automation 2.0: The Rise of Intelligent Ai Agents Report, which calls agentic ai “a transformative force redefining the boundaries of automation”.

[Agentic AI’s] Ability to adapt in real time positions it as a cornerstone of digital transformation, particularly in sector Demanding Dynamic Decision-Making
Kiran Raj, Globaldata

Kiran Raj, Head of Disruptive Tech at Globaldata, Says agentic ai the potential to reduce administer burdens in healthcare, streamline financial transactions, or optimise enestity. “Its ability to adapt in real time positions it as a cornerstone of digital transformation, particularly in sectors demanding dynamic decision-making.”

These are big predictions. The problem is that it comes to ai, we've had a lot of big predictions over the past 24 months. It can get a little weary fighting through the superlatives and references to “Efficiency” and “Seamless Automation”.

While the idea of ​​ai agents autonomously handling complex tasks is appealing, the reality is that adoption is slow. It's a landscape stil dominated by experimentation raather than scled implementation.

That haasn't stopped Nvidia Ceo Jensen Huang From weighting in. DURING HIS KEYNOTE At the Nvidia GTC Event Recently, Huang Descibed Agentic Ai as “The Next Wave” of Intelligent Systems, Ones That Can Reason, Plan and Act with Far Greater Autonomi Autonomi forehead ' Models. These agents, he suggested, will not just just respond, they will actually do things.

Secret Escapes Sports Up Chatbot with Genai for Better Cx

Eirik Pettersen, Chief Technology Officer (CTO) at Travel Company Secret EscapesIs one of the few uk executives already putting that claim to the test. Secret Escapes was an early adopter of Salesforce's agentforce Technology, an autonomous ai agent platform designed to be an always-on support for employees and customers access a range of departments-including, of Course, Customer Support.

“As soon as we switched over to the genai version [of our chatbot]Negative customer comments dropped off complete, “Says pettersen.

When you are fielding disgruntled communications from customers unhappy with the tool that is supposed to help them solve their problems, you can see white believes Experience ”.

It's the kind of operational change that forrester highlights in its latest research, describing agentic ai as “a paradigm shift in how Enterprises Scale, Compete and Create Value.”

In Its report, agentic ai is ai is waiting and will reforge businesses that Embrace it, forrester argues that early adopters that align their investments with bushes with business (There's that Word Again), and Entrely New Revenue Streams. But success depends on more than Enthusiasm.

As soon as we switched over to the genai version [of our chatbot]Negative Customer Comments Dropped Off Completely

Eirik Pettersen, Secret Escapes

“Agentic AI isn't just another technological evolution,” Says Leslie Joseph, Principal Analyst at Forrester. “Organizations must return their operating models, invest in resilient ai fourths, and rally teams and workforces Around a shared a share.

Unlike Traditional Automation tools or Standalone Large Language Models (LLMS), Agentic AI is defined by its autonomy and adaptability. As the Forrester Report Says: “It can plan strategically, Reason through Complex Scenarios, Collaborate Between Different Componants and Leverage external tools to Achieve Autonomy. “

Forrester Outlines a Phaased Evolution with Complex-Flow Agentic AI, which is alredy in use today, handles multistep tasks based on contexTual goals. This is the entry point. Forrester goes on to sugges that Multi-Flow Agentic Ai will be next, enabling systems to collaborate and negotiate in real time across departments. Finally, there will be any-health agentic ai, where swarms of agents act independent across enterprise ecosystems.

A reality check on autonomy

Not also organization is ready to hand over the keys to an ai workforce, Thought. At Secret Escapes, Pettersen is Still Balancing Experimentation with Control.

“One of the main goals of our project was to reduce escalation to live agents,” Says pettersen. As a business that outsources its customer support (and pays human agents by the hour), this reasoning is undersrstandably embedded with mangement. Escalating calls to humans can be expensive.

“We've Seen Around A 5% Improvement, but we're now learning to relax some of our guardrails and let the system do more. We've shackled our ai ai ai a bit! “It hasn't really had free rein yet.”

One of the main goals of our project was to reduce education to live agents. We've Seen Around a 5% improvement, but we're now learning to relax some of our guardrails and let the system do more. We've shackled our a bit too too tightly. It hasn't really had free rein yet

Eirik Pettersen, Secret Escapes

What's equally important, he says, is the empowerment of his non-technical teams. “Our head of customer service has been the one building the prompts.

Pettersen highlights five early use cases, ranging from managing bagges queries and occupance rules to processing cancellations and special requests, special requests, all of which can verry Dramatical in FORORATALY DRAMATICALY in FORORATALY in Format and Lagan Across Airlines and Hotels. Trying to model this manually was brittle and complex. But the flexibility of agentic ai offers a more human-like approach to resolving nuance at scale, he says.

Secret Escapes is not alone here. Globaldata cits a number of companies now experimenting with or scaling agentic systems. Bt is using servicenow's now platform to try to cut resolutions to under a minute and reduce paperwork by 55%, While Opentable has deployed salesforce agentforce and service clouds “to Shavay Minutes Off Support Calls While Freeing Staff to Handle Complex Issues ”.

These examples Highlight Agentic AI's Flexibility Accross Sector, from Customer Support to Supply Chain Orchestration and Marketing Optimization. But, as Deepmind Ceo Demis Hassabis recently warnedWhile the signs are promising, companies have to be war of compounding errors in ai. It is far from error-prof, which means that if agentic ai is to achieve what it sets out to achieve, organisations have to revisit the raw data and data processes thir ai.

From Experimentation to Reinventive

The idea of ​​moving from task automation to business model transformation is exactly what consultants like publicis sapient are no urging clients to explore.

“Agentic AI will become the way ai is delivered,” Says Simon James, Head of Data and AI at Publicis Sapient. “An evolution from replicating legacy processes to reimagin ons that can be improved upon by generative ai.”

He sees the term agentic fading over time, as it becomes embedded within everyday enterprise ai. But for now, businesses must make some tough calls.

“What Companies Need to Decide is the level of Autonomy they're comfortable delegating to agents and what role human oversight Should Play,” He Says.

Rather than betting on general-purpose super -Gers, james notes that successful implementations are more modest in scope. “We've seen the definition of agentic gravitate toward a more deterministic model, breaking a process into small chunks, where each block is an agent with limited, discrete functions. Transparent, and Easier to Manage, “He Says.

What Companies Need to Decide is the Level of Autonomy they comfortable delegating to agents and what role human oversight should play play

Simon James, Publicis Sapient

But is it worth the cost? As agentic AI adoption increases, so too do the questions Around cost, not just in terms of implementation, but in operating values.

“Businesses need to be medbul of the increase in cloud consumption costs driven by ai applications,” Says james. “Any AI-Focused Program Should Be Self-Funding, and Proporting to the Opportunity and Evidence of Results.”

This aligns with forrester's view that agentic ai should be treated as just another tech layer. It's not about automation for automation's sake, it's about retinking what's up.

“The Winners of the Ai Age will not Merely be the fastest adopters,” Says the firm's report. “They'll be that who redesign their business models to harness agentic ai as a strategic differentiator.”

The Momentum is also also reflected in the investment landscape. According to globaldata, agentic AI attracted $ 1.8bn in Venture Capital Funding Across 69 Deals in 2024 Alone. Notable Raises Include $ 220m for Paris-Based Startup H and $ 97.2m for New York's Emergence Ai, Signalling Confidence in this emerging infrastructure layer.

But we have seen ai investment spikes before, and the individual investment sums are not earth-shaattering-at least, not anniversary. Perhaps the real indicator of agentic ai's potential success lies in the reasons applied by corporations in adopting agentic ai.

As ethan mollick, one of the authors of The Cybernetic Teammate: A Field Experiment on Generative Ai Reshapping Teamwork and Expertiserecently Wrote: “Companies that focus soly on efficiency gains from Think bigger about the future of work. “

The point is that if Organizations See Agentic Ai as Purely a Way of Saving Money, then Productivity. This may be a harder sell to a financial director looking at head count, but it would also be the reality, at least for the next five years.

Perhaps the True Test of Agentic Ai Won'T be the tech itself but bested its companies use it to reinvent or simply reinforce old habits.

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