The shift from AI assistants to Outcome Agents that drive KPIs | Abdullah Asiri @ LEAP 2026

Businesses are never measured on what they understand. They are measured strictly on what they deliver. Yet most organizations deploy AI as an expensive advisor: generating meeting summaries, drafting emails, and offering insights while leaving the real work to humans. In this keynote, Abdullah Asiri, Founder and CEO of Lucidya, addresses the core inefficiency of insight-focused AI adoption and shows how to transition from task-based intelligence to Outcome Agents that directly automate and drive company KPIs. What is an Outcome Agent? An Outcome Agent is an autonomous system built to execute entire business workflows and deliver finished business metrics. Rather than giving human workers advice, drafts, or suggestions, it takes direct ownership of operational goals to resolve customer needs end-to-end. Numbers & case studies cited in the talk Gartner Benchmark: By 2029, 80% of customer interactions will be handled by AI agents, reducing operational costs by 30%. Lucidya in Insurance: AI agents automated over 85% of customer interactions, saving $168,000+ and cutting costs by over 30%. Klarna Benchmark: Customer inquiry resolution times reduced from 11 minutes to 2 minutes, matching the capacity of 700 human agents. Lucidya in Public Sector: Average handling time reduced from 12 minutes to 45 seconds for a Saudi government entity. Timestamps 00:00 - Introduction & welcome 00:17 - Opening remarks & Lucidya's 10-year AI journey 01:09 - The problem: AI is everywhere but underutilized 02:18 - Moving from understanding to business outcomes 03:22 - Giving AI a “brain,” “hands,” and a business target 04:22 - Introducing “Outcome Agents” 05:27 - Outcome Agents in action (Marketing, customer service, sales) 06:21 - Why Outcome Agents matter: Cost, speed, & predictability 08:14 - Case study: Insurance industry cost reduction 09:14 - Case study: Klarna & government entity response times 10:13 - How to start: Strategic considerations 11:03 - Rule #1: It must be a mandate, not a pilot 12:09 - Rule #2: Governance from day one 13:08 - Choosing the right starting function 14:02 - Timing: When waiting becomes falling behind 14:52 - Competitive pressure & customer expectations 15:47 - Saudi government’s AI adoption success story 16:44 - Closing statement About Lucidya Lucidya is the agentic CX platform redefining how enterprises and public sector organizations understand, engage, and resolve customer needs. Its AI-native architecture, powered by over a decade of proprietary Arabic CX data and an NLP engine that understands 17 Arabic dialects with 92% accuracy, ingests customer data and market signals in real time across voice, chat, email, social media, and 40+ digital sources to instantly detect intent and sentiment. The platform then routes and orchestrates workflows to AI agents that execute end-to-end resolutions autonomously, enabling up to an 85% containment rate from initial contact through retention. Designed on a unified, single-tenant infrastructure with in-region data residency, Lucidya combines enterprise-grade security, governance, and continuous learning with compliance to PDPL, NCA, GDPR, CCPA/CPRA, SOC 2 Type II, NIST CSF, and ISO/IEC 42001. • Book a demo ➡ https://www.lucidya.com/request-demo?... • Lucidya Twitter ➡   / lucidya   • Lucidya Facebook ➡   / lucidya   •Lucidya linkedin ➡   / lucidya