70% of businesses stick to RPA—why they're missing out on AI’s next big leap

Unlock the potential of blending RPA with Cognitive Automation to elevate your business efficiency and decision-making.

Hello Innovators! Welcome to this edition of our newsletter, where we explore the powerful synergy between Robotic Process Automation and Cognitive Automation. Are you ready to rethink your strategy and embrace AI's transformative capabilities? Let's dive into how businesses can move beyond traditional automation and leverage advanced technologies for smarter, more efficient operations.

🤖 Innovation Insight

Hey business leaders! Are you sticking with RPA and missing out on Cognitive Automation's benefits?

• RPA: Automate those repetitive, rule-based tasks—like data entry or invoice processing—for quick efficiency wins and cost savings.

• Cognitive Automation: Employ AI magic like Machine Learning (ML) and Natural Language Processing (NLP) to tackle unstructured data (e.g., emails, voice inputs) and enable intelligent decision-making.

• Why it matters: Integrating RPA and Cognitive Automation could reshape your operations by combining speed with adaptability. While RPA excels in structured workflows, Cognitive Automation unlocks value in dynamic environments—think healthcare diagnostics, fraud detection, or personalized customer interactions. Together, they future-proof scalability while reducing errors.

Get the full scoop: What Are the Key Differences Between RPA and Cognitive Automation?

🧠 Brainy Business Hacks

PSA for decision-makers: If you're using RPA alone, you're likely in the 70% of businesses overlooking AI's transformative edge. Here's how to bridge the gap:

• Mixing RPA with AI: Pair RPA's rule-based efficiency with Cognitive Automation's AI-driven adaptability. This combo scales operations and handles exceptions—think processing invoices and interpreting customer emails simultaneously.

• Dive into unstructured realms: Deploy NLP-powered Cognitive Automation to unlock trapped value in emails, voice recordings, and free-text documents. Example: Automate contract analysis by extracting clauses from unstructured legal text.

• Don't miss the AI leap: 20-30% faster decision-making in complex workflows could be your game-changer. Cognitive Automation learns from data patterns to predict supply chain bottlenecks or flag fraudulent transactions in real-time.

As highlighted in this analysis, industries achieving the highest ROI use RPA for speed and Cognitive Automation for intelligent iteration.

Ready to supercharge your processes? Start by auditing workflows that involve both structured data (RPA’s sweet spot) and unstructured inputs (where Cognitive Automation shines).

🚀 Future-Ready Moves

Let’s get tactical with automation strategies tailored to your role:

• For CIOs: Leverage AI-driven Cognitive Automation platforms to lead in innovation. Deploy tools combining Machine Learning (ML) and Natural Language Processing (NLP) to automate complex decision-making in IT workflows, such as parsing unstructured log files or prioritizing system alerts. This mirrors insights from Naluda Magazine’s analysis, which highlights Cognitive Automation’s ability to adapt to dynamic data environments—critical for scaling digital transformation.

• Finance leaders: Secure 20-30% cost savings by adopting advanced automation hybrids. Pair RPA for structured tasks (e.g., reconciliations) with Cognitive Automation to interpret unstructured financial documents like contracts or audit trails. This dual approach eliminates manual bottlenecks while ensuring compliance through AI-powered anomaly detection.

• Healthcare pros: Streamline patient data processing with NLP-powered Cognitive Automation. Automate extraction of critical insights from unstructured sources—clinical notes, lab reports, or voice-recorded patient histories—to accelerate diagnoses and reduce administrative overhead. As noted in the referenced analysis, this is where Cognitive Automation outshines RPA, turning fragmented data into actionable intelligence.

Are you poised to evolve? Businesses blending RPA’s speed with Cognitive Automation’s intelligence, as outlined here, are already achieving error reductions of up to 45% in document-heavy industries. Audit your workflows today—structured data needs RPA, but unstructured complexity demands Cognitive Automation’s AI edge.