The Industry Landscape
The Mandate for Intelligence Acquisition in the Digital Age
For information processing firms, the ability to rapidly analyze, synthesize and distribute high-volume, high-velocity data is central to their value proposition. Their customers now demand real-time insights, tailored sector coverage and nuanced interpretations across markets, languages and domains.
Traditional methods of tracking and processing information are too slow and labor-intensive. To stay competitive, leading firms are turning to Gen AI tools and intelligently automated workflows to power scalable insight engines, delivering faster turnaround, greater consistency and deeper strategic relevance.
The Client Challenge
Manual Processes. Slow Turnaround. Data Obsolescence. Limited Scalability.
The client relied on manual efforts to track and curate news and developments across the infrastructure sector. Analysts spent hours conducting open research, identifying, processing and updating relevant information on a proprietary database. As sector coverage widened and expectations for real-time updates grew, this model came under pressure.
To scale efficiently, the firm sought to embed intelligent technologies into its knowledge gathering operations. Specific objectives included:
The Solution
Gen AI-powered Research Engine
As a digital-led domain partner, WNS leveraged its customizable cognitive information processing tool, InfoTurf.ai, to automate the sourcing, extracting, processing and updating of industry-relevant details on the client database.
Key components of the solution included:
The Outcome
Accelerated, High-quality Intelligence Gathering
The engagement delivered a streamlined research process that drove measurable improvements in productivity, data capture quality and turnaround times. This enabled the client to accelerate and scale sector-specific coverage with greater breadth and depth, freeing analysts to focus on higher-value tasks.
Increase in coverage
increase in data fields populated, reflecting deeper coverage
wider coverage, strengthening the overall database
Building on the solution’s success, the client is exploring the feasibility of extending InfoTurf.ai across additional industries, expanding intelligent automation adoption across the enterprise.