Blogs
Traditional AI agents struggle with the complexity of real enterprise work. In new benchmarks, causaLens Digital Workers achieved up to 20× reliability gains over OpenAI agents on causality-heavy, mission-critical tasks.
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Most enterprise AI delivers marginal efficiency gains because it relies on brittle, single-agent systems. In this post, we benchmark causaLens’ multi-agent Digital Workers against industry baselines and show why reliability changes what automation can actually achieve.
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The race to operational excellence has already begun. Identify the manual, high-cost processes holding you back and discover how Digital Workers can start delivering impact today. Which workflow will you automate first?
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Inefficiency costs pharma billions in delays, compliance penalties, and burnout. See how Digital Workers reclaim wasted time and reduce risk.
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AI Proofs of Concept are slow and ineffective. Learn why C-suite leaders are switching to 30-day production probation periods to evaluate and deploy AI faster.
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Pharma is at an inflection point. Digital Workers – multi-agent systems with governance – deliver end-to-end automation, real ROI, and speed beyond RPA and basic copilots.
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For pharma leaders, slow sales territory alignment hurts revenue. An AI Digital Worker automates the fix, turning messy data into fair territories that boost quota attainment.
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Slow MLR cycles delay launches and drain resources. Our Marketing Operations Digital Worker embeds compliance into your workflow, pre-screens assets, validates claims, enforces channel specs, and ensures fair balance – integrating with PromoMats and AEM for faster approvals and fewer revisions.
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LLMs are great copilots – but they aren’t built to run complex, regulated processes. This article explains why enterprises are shifting to agentic Digital Workers that integrate with existing systems and execute processes end-to-end with auditability.
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While rule-based RPA follows fixed instructions for single tasks, AI-driven Digital Workers adapt to and manage entire, complex business processes from end to end. This adaptability allows Digital Workers to handle changing environments and exceptions that would otherwise disrupt traditional automation tools.
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