Discover how we've helped businesses across industries achieve remarkable transformations through our AI-powered solutions. Each case study represents a unique journey of innovation and success.
Delivering measurable outcomes across diverse industries with cutting-edge AI solutions
Building long-term partnerships with businesses of all sizes, from startups to enterprises
Fast deployment and quick time-to-value with our streamlined implementation process
Manual processing of statement/KYC/loan-document emails in Zoho Desk led to high agent workload, variability in responses, and SLA slippage. Agents had to interpret free-text, locate records, fetch documents from external systems, draft emails, update CRM, and close tickets—creating delays and quality risks.
LLM-assisted email automation that reads each inbound message, classifies the request, extracts key fields (account, date range, IDs), calls the correct document API, composes a compliant reply, sends it from Desk, updates CRM, and auto-closes or escalates the ticket.
High-volume cross-border contracts (MSA/SOW/DPA) demanded 40+ hours per matter. Teams wrestled with inconsistent clause language, scattered precedents, and manual compliance checks (GDPR/CCPA/UK-GDPR). Redlines arrived late, SLAs slipped, and partner time was consumed by low-value review. PII risks and version confusion (PDFs, scans, Word) added audit pressure.
We deployed an AI review layer that normalizes PDFs/Word/scans, maps clauses to firm standards, and flags deviations with risk scoring. Auto-generated Word redlines include explainable rationale and source links. Built-in GDPR/CCPA guardrails catch PII and cross-border transfer issues. Everything routes through existing tools-iManage/NetDocs for files, and Jira/ServiceNow for approvals-so attorneys stay in the loop while the system handles the heavy lifting.
Inventory blind spots and supply disruptions were driving line-down events and costly expedites. Forecasts went stale with frequent ECOs; planners lacked a single view across ERP/MES/WMS and machine data, while unplanned downtime and changeover losses kept OEE suppressed across plants.
We unified streaming shop-floor signals (PLCs/IoT) with ERP/MES/WMS to create real-time visibility. Predictive models flagged impending equipment failures and quality drifts; probabilistic demand forecasts recalibrated safety stock; and a constraint-aware scheduler auto-sequenced work orders and generated buy/transfer proposals-pushing actions back into existing systems for approvals.