IBM Consulting’s AI services platform, Advantage, is transitioning from using basic, prompt-based assistants to a more sophisticated agent-based system as the service industry continues its journey from labor-based services to a hybrid of humans and AI-powered digital coworkers.
Enterprise leaders under pressure to deliver results faster and with fewer resources must stay close to this shift. By combining AI-driven assistants with deep integration into your existing systems, companies can cut the time to impact, whether tackling cloud migrations, large-scale digital transformations, or simply trying to get more out of your current tech stack.
In the case of the Advantage platform, the AI tools aren’t just bolted on—they’re embedded into the way your team works. They offer digital assistants to take the load off your human workforce, automate repetitive tasks, and free your teams to focus on strategic decisions. Think of it as giving your people digital coworkers to help them finish the job faster and with fewer errors.
This platform doesn’t demand that you rip out your current systems or overhaul your infrastructure. It works with what you’ve already got—whether AWS, Azure, GCP or a mix of all three. It also integrates with tools you may already use, such as Microsoft Copilot or Amazon Q.
IBM’s marketing team has used the platform internally to reimagine their creative processes. By leveraging AI-generated copy, automating content localization for global markets, and running A/B tests for better campaign results, IBM has seen a significant boost in creative output. A healthcare client used Advantage to transform patient interactions digitally. A 52% productivity improvement across a range of development activities resulted in time-to-market and cost efficiencies while improving the patient digital experience.
The net result? Faster execution, reduced manual effort, and quicker access to results—without overhauling everything. And this promise will be repeated across the industry as service providers move to an agent-based future.
Source: HFS Research, 2024
HFS has talked a lot about the move from labor-driven services to software-based services as part of the shift from labor arbitrage to tech arbitrage—as crystalized in our HFS Tech Services and Ops Tech Vision 2030 (see Exhibit 1). Advantage is an example of the industry’s journey. IBM is applying AI to make consulting more efficient and, in doing so, is building a future where platforms of this type take the lead. HFS sees a future where AI-led services drive transformation at scale.
The AI-driven consulting model means you can get to the finish line faster—whether that’s optimizing your cloud infrastructure or reducing the time it takes to deliver on complex transformation projects. The ability to leverage multiple cloud environments and role-specific digital assistants gives your teams the tools to get ahead without waiting on outside help.
Like any complex platform, Advantage isn’t without its challenges. One of the most significant risks for enterprise leaders is managing the complexity of multiple AI models and integrations. While the platform’s flexibility is a strength, it can also create operational headaches if you’re not prepared to manage all the moving parts.
There’s also the issue of data security and ownership. With so many third-party integrations in play, it’s essential to have a clear governance strategy. Enterprises must maintain control over sensitive data and comply with industry regulations, especially in highly regulated sectors such as finance or healthcare.
And let’s not overlook the potential for vendor dependency. While Advantage offers flexibility, reliance on third-party tools can create vulnerabilities if those vendors face disruptions or shift their offerings. It’s crucial to have a contingency plan in place.
Advantage is a platform worth considering for enterprise leaders looking to do more with less—whether that’s faster project completion, higher productivity, or a smoother digital transformation. It’s designed to help you get more done faster without the need to overhaul everything you’ve already built. And its shift to more sophisticated use of agents suggests IBM is building with an eye firmly on the future.
Examples of alternative AI-driven consulting and automation platforms include Accenture SynOps, TCS Cognix, Cognizant Neuro, Wipro HOLMES, Capgemini Perform AI, Deloitte CortexAI, and Infosys Topaz.
Wherever you choose to start, be thoughtful about how you engage. Start with targeted deployments that enable you to see immediate benefits. Build out your governance structures to manage complexity and ensure you stay on top of data security. If you can manage the risks, the potential rewards are significant—reduced costs, faster results, and a more agile workforce ready to meet the challenges ahead.
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