The stakes have never been higher for AI in production. When your LLM-powered agents handle customer support, process insurance claims, or manage supply chain decisions, a single hallucination, prompt injection, or performance regression can cascade into compliance violations, customer churn, and operational chaos. Yet most enterprises are flying blind—monitoring infrastructure and applications while the AI agents themselves remain a black box.

Today, we're excited to introduce ARMS (Agent Resource Management Software)—the enterprise LLM observability and reliability platform purpose-built to make AI trustworthy, transparent, and cost-effective at scale.

The Hidden Risks of Production AI

Every day, enterprises face AI emergencies that traditional monitoring tools can't catch:

• LLM production failures that break customer workflows without triggering infrastructure alerts

• Hallucinations that provide confidently wrong answers to critical business questions

• Prompt injection attacks that manipulate AI agents into revealing sensitive data

• Model drift that slowly degrades performance until customer satisfaction plummets

• Cost overruns that spiral out of control as token usage scales unpredictably

These aren't hypothetical scenarios—they're happening right now in contact centers, financial services, healthcare systems, and logistics operations worldwide. The question isn't whether your AI will encounter these issues, but whether you'll detect and resolve them before they impact your business.

Introducing ARMS: Enterprise LLM Observability That Works

ARMS is the first enterprise platform designed specifically for LLM observability, evaluation, and monitoring in production environments. Unlike general-purpose MLOps

tools built for experimentation or APM platforms focused on infrastructure, ARMS provides complete visibility into the AI agent layer—from prompt to response to business outcome.

Built for regulated, operations-heavy enterprises, ARMS ensures your AI agents are not just functional, but provably reliable, compliant, and cost-efficient across every interaction.

The Three Pillars of AI Reliability

1. Vulnerability Detection

Protect your business from AI-specific risks

• Real-time hallucination and bias detection using advanced scoring algorithms

• Prompt injection and data exfiltration guardrails that block malicious attempts instantly

• PII and secrets leakage alerts to prevent compliance violations before they occur

• Automated safety boundaries that quarantine problematic outputs for human review

2. Performance Metrics Tracking

Optimize AI operations with actionable insights

• Token usage and cost tracking with attribution by team, project, client, and geography

• Latency and throughput monitoring to maintain SLAs during peak demand

• Success and error analysis that pinpoints failure modes and improvement opportunities

• Performance benchmarking across models, markets, and languages for data-driven optimization

3. Compliance Reporting

Turn compliance from liability into competitive advantage

• Immutable execution logs capturing every prompt, response, and decision pathway

• GDPR, HIPAA, and SOC2-ready evidence packs that export automatically for audits

• Retention and access controls aligned with regulatory requirements and corporate policies

• Audit trail visualization that explains AI decisions to regulators and stakeholders

Getting Started: From Zero to Full AI Observability in Under an Hour

While competitors require weeks of setup, complex integrations, and extensive configuration, ARMS delivers complete LLM observability in minutes—not months.

Step 1: Instant Account Setup (2 minutes)

• Sign up and join your organization's ARMS subscription

• Your personalized dashboard generates a secure API key automatically

• No complex onboarding, no professional services required

Step 2: One-Line Integration (5 minutes)

• Install the ARMS Python package with a single pip command

• Set your environment variables and add your API key to the project

• Zero infrastructure changes, zero disruption to existing workflows

Step 3: Immediate Visibility (30 minutes)

• Run your first trace with multiple spans across your AI pipeline

• Watch real-time data flow into your ARMS dashboard instantly

• Complete observability from prompts to responses to business outcomes

Step 4: Full Analytics and Insights (15 minutes)

• Explore comprehensive metrics: token usage, costs, performance, quality

• Set up alerts for hallucinations, errors, and performance thresholds

• Generate your first compliance report and audit trail

Total time to production-grade AI observability: 52 minutes.

This isn't just faster—it's a fundamental competitive advantage. While your competitors spend months implementing complex observability solutions, you're already optimizing AI performance, catching issues before they impact customers, and generating audit-ready reports.

The Future of AI is Observable

As AI becomes critical infrastructure for business operations, observability becomes non-negotiable. ARMS ensures that your AI agents are not just intelligent, but trustworthy, transparent, and aligned with your business objectives.

Don't wait for an AI incident to realize you need better visibility. The enterprises that invest in AI observability today will be the ones that scale AI confidently tomorrow—with compliance assurance, cost control, and operational excellence that competitors can't match.

Ready to see ARMS catch and explain production AI issues in minutes?

[Request a Live Demo] to learn how to scale your AI innovation with real-time LLM observability, or [Download our Free version] to see how ARMS fits into your existing MLOps and observability stack.

ARMS is developed by ElsAi Foundry, the enterprise AI platform company trusted by global leaders in healthcare, financial services, and logistics. Learn more at www.elsaifoundry.ai.