HFS Research has highlighted that WNS InfoTurf.ai, a Generative AI (Gen AI) automation platform for information processing, delivers on the long-promised productivity gains, an area where most enterprise Gen AI deployments continue to fall short. HFS notes that that InfoTurf.ai bridges the Gen AI productivity gap by converting generative intelligence into measurable throughput, operational efficiency and business impact.
The Gen AI Productivity Gap in Enterprise Operations
According to HFS, more than 80 percent of Gen AI deployments focus on personalization and insight generation, while the core productivity premise remains unrealized, as pilots fail to translate into production-grade improvements.
Figure 1: Distribution of Gen AI & Agentic AI Outcomes by Deployment
Information services firms still depend on manual research, data extraction and publishing workflows, which increase costs, slow updates and limit coverage. HFS identifies InfoTurf.ai as a differentiator in addressing this gap.
Why HFS Research Recognized WNS InfoTurf.ai
HFS notes that InfoTurf.ai addresses Gen AI productivity challenges through:
What is InfoTurf.ai? A Gen AI-powered Productivity Platform
Among InfoTurf.ai’s core capabilities are Gen AI-led research automation, AI-powered data extraction and workflow orchestration, to name a few. Its microservices-based architecture enables enterprises to adopt specific accelerators or deploy the platform end-to-end to modernize information operations.
“Productivity will decide who owns the future in the information services space. Tools like InfoTurf.ai will help you stay on the winning side.”
- HFS Research
What’s Inside the Report
- How InfoTurf.ai is being applied in live enterprise environments, with insights into the business outcomes achieved
- A detailed analysis, including frameworks and recommendations to scale Gen AI productivity effectively
To read the full HFS highlight paper, click here