Orchestrating Success Across Every Industry
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Challenge: Scaling personalized HR experiences led to slow information access, fragmented analytics, and a surge in repetitive support queries.
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Solution: Beacon’s AI Copilot, universal search, and widget-based Workline Lite streamlined information access, automated query resolution, and enabled real-time analytics.
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Outcome: 60% fewer support tickets, 80% of repetitive queries resolved automatically, employee engagement score rose from 66 → 86, and mood score improved from 3.2 → 4.5.
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Challenge: AMTPL faced manual bottlenecks in claims processing, policy management, and multi-language customer support, causing delays, errors, and high operational costs.
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Solution: Beacon deployed specialized AI agents to automate claims, policy operations, and multilingual support, orchestrating workflows across systems without APIs.
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Outcome: 60% reduction in manual interventions, 90% fewer errors, 50% cost savings, and 500+ man-hours saved monthly.
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Challenge: Darwinbox faced surging support ticket volumes, with repetitive “how-to” and complex L2/L3 queries slowing resolution and diverting product teams from innovation.
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Solution: Beacon.li deployed AI support agents and autonomous workflow orchestration directly on Darwinbox’s product UI, automating ticket handling and in-product guidance without backend changes.
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Outcome: 64% of tickets deflected, same-day resolution increased from 28% to 70%+, and product teams regained focus on roadmap initiatives.
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Challenge: Keka’s HRMS platform faced growing user queries, complex navigation across multiple modules, and slow feature adoption, creating inefficiencies and repeated support requests.
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Solution: Beacon.li implemented AI-powered in-app guidance, including Co-Pilot and Beacon Bar, to provide real-time assistance, guided workflows, and seamless feature navigation without overwhelming the support team.
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Outcome: 62% faster first responses, 4x higher feature adoption, improved user satisfaction, and reduced repetitive support efforts.