Lyzr AI presents, via its Agent Tracker, a living catalog of 34 AI agents deployed in production at enterprise customers, demonstrating the breadth of the platform's capabilities while establishing concrete proof points: less than one month to production and a scale of more than one million agents in production.
Strategic distribution of complexity and use cases
The catalog reveals a deliberate distribution: 21% Low-complexity agents (well-defined tasks: Multi-Channel Support, AI Image Generator, WhatsApp re-engagement, Ticket Booking), 53% Medium-complexity agents (orchestrated workflows: AirAsia's Content Workflow Assistant, Research Assistant across 4,000+ assets, ER Cardiology synthesis), 26% High-complexity agents (deep domain expertise: multi-specialty Full Diagnosis, Legal Outcome Predictor, FDA Compliance, Pitch Deck Evaluator). Emerging pattern: high-complexity agents concentrate in regulated industries (Healthcare, Banking, Legal) that demand multi-step reasoning and compliance rigor.
Dominant sector verticals
Banking/BFSI emerges as the dominant vertical with 8 agents covering commercial banking (POC evaluation, corporate insight extraction), retail operations (Teller Assistant for deposits/withdrawals/routine requests), the customer journey (KYC onboarding automation), and financial services (pitch deck evaluation, startup applications, investment memos, credit tear sheets). This reflects the strong ROI of automating regulated, document-heavy processes.
Healthcare agents focus on clinical support: Full Diagnosis (patient symptoms → evidence-based treatment recommendations, multi-specialty), ER Cardiology (real-time synthesis of complex reports for physicians), FDA Compliance (draft review, keyword insertion, compliance revision). All Medium-High complexity, with emphasis on reducing clinicians' manual review time and improving diagnostic accuracy.
Broad spectrum of marketing automation
Marketing agents range from basic content creation (YouTube Shorts for Accenture, AI Image Generator at Low complexity) to sophisticated workflow orchestration (AirAsia's Content Workflow Assistant at Medium: ideation → SEO research → writing → formatting → image tagging, with human involvement only where it adds value). Specialized agents (OCR-based structured data extraction, product recommendation personalization, video avatar for personalized insurance quotes) sit at Medium-High.
Dual-approach customer engagement
Customer service splits between reactive support (Multi-Channel chat/voice/email/SMS, 24/7 support with escalation and knowledge-base fallback, bank KYC onboarding) and proactive re-engagement (voice calls for sign-ups, WhatsApp notifications to recover drop-offs). Consistent pattern: intelligent escalation to humans and continuous learning from the knowledge base.
Accelerating Finance/VC deal flow
Finance agents target VC/PE workflows: deal-flow standardization (Pitch Deck Eval, Startup Applications at High, standardizing subjective maturity criteria), document generation (Investment Memo, Credit Tear Sheet at Medium), research synthesis (Company Finder across financial datasets, Research Agent over reliable sources, at Medium).
Customers as proof points
Meesho (HR Help Desk, travel), Accenture (YouTube Shorts, media), AirAsia (Content Workflow, travel) are named publicly. The other blurred logos protect customer confidentiality while signaling the breadth of enterprise adoption.
Platform proposition and Super Agents
Six specialized Super Agents (Diane HR, Jeff Support, Skott Marketing, Jazon Sales, Amadeo Banking, Benjie Insurance) suggest preconfigured domain experts. Agent Studio highlights no-code building, Responsible AI guardrails, hallucination management, and knowledge-graph-based orchestration.
The catalog illustrates Lyzr's positioning: enterprise-ready AI agents, proven in production across functions and industries, with rapid deployment (<1 month) and proven scale (1M+ agents, 100+ customers).