EXIQO Insights

Real stories. Sharp perspectives. Built for leaders who think ahead.

Research Paper

Agentic AI 2026 | A Mid-Market Playbook for Adoption and Scale

From pilot ambition to enterprise-scale execution. ~200 mid-market leaders surveyed.

Press Release

R Systems Unveils EXIQO to Enable Enterprise-Scale Agentic AI Integration and Accelerate Engineering Velocity

EXIQO, an AI Studio by R Systems, combines enterprise context, embedded guardrails, and human oversight to deliver governed, enterprise-grade execution at scale

All Posts

Case study

From churn risk to retention win

100% of early churn signals were missed. Real-time scoring across 280+ variables fixed that.

Brochure

OptimaAI – Enterprise agentic AI platform 150+ agents | 12+ industries

Agents that reason, decide, and act — governed, auditable, outcome-driven.

Case study

From fragmented tools to one governed platform

Chat, voice, and agentic workflows siloed across systems. A single coordinated platform tripled concurrent interactions at 40% faster delivery.

Case study

From manual review to real-time classification

100% of tax notices reviewed by hand. OCR + AI classification automated it at 92% accuracy — zero categorization delays.

Case study

From 12-hour reports to sprint-ready velocity

45 complex reports. 8 weeks. Manual effort cut by 50% — 2× velocity delivered via AI-first engineering from sprint one.

Case study

From end-of-life Oracle to enterprise-scale Jasper

2000+ reports across multiple countries facing manual migration risk. Automated conversion delivered 40–50% faster with zero business disruption.

Case study

350+ SAS programs. Zero manual errors. One accelerator.

PAMB | SAS to Databricks migration using GenAI-powered accelerators, full business logic preserved across actuarial & finance workloads.

Case study

From monolith to microservices in record time

A tangled PHP monolith transformed into Java microservices , 75% less migration effort, 4x faster per-module delivery.

Case study

From 15-day reports to daily decisions

Marketing decisions running on stale data replaced by a real-time AI agent, 15x faster optimization cycles.

Case study

AI-orchestrated delivery at enterprise scale

Siloed feedback and QA backlogs slowing every release, agent-driven SDLC delivered 2x velocity and 4x QA throughput.

Case study

Enterprise data access, no SQL required

Critical healthcare data locked behind SQL expertise, AI agents unlocked 100% non-technical access, 70% faster insights.

Case study

From reactive planning to proactive forecasting

Siloed manual demand planning replaced by AI forecasting, 5–10% MAPE accuracy across four time horizons.