CASE LIBRARY
Find an AI path worth following
Start from real business problems and filter for cases closer to your market, model and stage. Each case is rated for evidence and replicability, with public sources attached.
Editor's pickFreight Forwarder: AI Customs Document Automation
A freight forwarding and customs brokerage firm processed non-standard trade documents by hand, cross-checking bills of lading, invoices, and packing lists before filing. ZenAI built an AI document-flow and compliance-verification system — VLM parsing, cross-document validation, a compliance-risk agent, and freight-ERP integration — that cut complex import processing from 40–60 minutes to under two minutes while keeping entry writers in control.
Financial Services Firm: AI Due Diligence Copilot
A financial services firm's deal team was bottlenecked by repetitive document review, manual cross-checks, and cross-file relationship risks — all on material too sensitive for public AI tools. ZenAI built a private AI due-diligence platform: financial-grade document parsing, a GraphRAG entity-relationship graph, parallel financial-audit and legal-risk copilots, and a Data Room classification agent, cutting initial Data Room organization and risk scanning from about two weeks to within 48 hours.
Heavy Equipment Manufacturer: AI Maintenance Copilot
An asset-heavy manufacturer's maintenance team lost hours per fault because manuals, work orders, and fault knowledge were scattered and senior engineers were the only route to answers. ZenAI built an AI maintenance troubleshooting copilot on GraphRAG and an industrial knowledge graph — OCR/VLM over manuals, drawings, fault codes, and work orders — that turns a device ID, alarm code, or plain-language question into a sourced standard SOP, cutting initial fault localization from over 2 hours to under 10 minutes.
Fertility Care Org: AI Medical Report Analysis Platform
A Los Angeles fertility care organization processed dense, unstructured medical reports and multi-source patient data by hand, and could only scale by adding staff. ZenAI built an AI report-analysis and data-processing platform — a parsing engine, unstructured-data standardization, multi-source integration, a high-throughput pipeline, and a human-in-the-loop review workflow — moving report processing from hours to minutes without replacing professional judgment.
Editor's pickBay Area Automotive Group: An AI Communication Platform That Moved the Weekend Numbers
A multi-location Bay Area dealership group was losing leads to slow follow-up and inconsistent service scheduling. ZenAI designed and built a custom enterprise AI communication platform — 24/7 AI service agents, AI-driven proactive marketing, and Google-standard engineering — that tripled appointment conversion, saved six figures per dealership per year, and produced record-breaking weekend sales.
Editor's pickDealership Group: AI Fixed Ops & DMS Modernization
A dealership group ran a rigid, fragmented DMS: technicians burned time across systems, repair orders were keyed by hand, and repair knowledge sat in silos. ZenAI built a non-replacing AI layer — a multimodal technician copilot, a RAG repair-knowledge base, multi-agent repair-order orchestration wired to the DMS API, a parts-inventory agent, digital multi-point inspections, and a private-deploy ops dashboard — cutting diagnostic and parts-lookup time by 60%+ and lifting daily repair-order capacity 15–20% without adding bays or technicians.
Cross-Border Trade: AI Finance Reconciliation
A cross-border trade company reconciled payments, invoices, and customs documents across multiple gateways and currencies in spreadsheets, making month-end slow and error-prone. ZenAI built an AI finance automation and reconciliation platform — OCR/VLM document parsing, gateway and ERP integration, a reconciliation agent with fuzzy matching and anomaly detection, multi-currency FX handling, and a finance dashboard — cutting monthly reconciliation from about 7 days to under 1 day.
Food & Beverage Distribution Group: ERP Modernization
A Los Angeles food and beverage distribution group ran a legacy ERP that capped order value, limited field operations, and kept data in silos. ZenAI delivered an end-to-end modernization — a responsive cross-device ERP, an AI sales recommendation engine, and a seamless UX designed from frontline feedback — lifting order value and overall sales, transforming field operations with mobile-first design, and breaking data silos for centralized business intelligence.
Editor's pickLogistics Company: Legacy TMS + AI Dispatch Intelligence
A logistics and supply chain company ran transportation, warehousing, and port operations on legacy AS400-based TMS/WMS systems with data silos and T+1 reporting. ZenAI built a non-invasive modernization layer — CDC extraction, a lakehouse, an AI semantic layer, a metadata RAG copilot, and AI dispatch intelligence — giving minute-level visibility and natural-language analysis without replacing the core systems.
Manufacturing Company: AI Production Scheduling Copilot
A discrete manufacturer did not lack a scheduling system — ERP, MES, and supply chain data were siloed, so material delays and rush orders triggered slow, experience-bound decisions with no traceability. ZenAI built a production scheduling copilot on read-only ERP/MES/SCM integration: a multi-agent workflow that captures state, checks inventory and substitutes, simulates production impact, and produces traceable adjustment options for human approval — cutting abnormal-analysis time from over 3 hours to under 5 minutes.
Energy Exploration: Private AI Knowledge Platform
An energy exploration and production company had years of geological, engineering, and production documents scattered across Excel, Word, legacy databases, and scanned logs — valuable but hard to search and too sensitive for public cloud AI. ZenAI built a private AI knowledge platform — multi-modal document processing, hybrid search, a GraphRAG knowledge layer, and AI-assisted workflows — cutting typical historical lookup from about 45 minutes to under 5 seconds, with source traceability.
Editor's pickLA Surrogacy Agency: An AI-Assisted Clinical Data System That Cut Waiting Time
A leading Los Angeles surrogacy agency was bottlenecked by manual clinical data review and fragmented cross-clinic coordination. ZenAI built a custom intelligent clinical data management system — a unified workflow platform, an ML-powered AI diagnostic assistant, and a high-concurrency clinic collaboration network — that roughly halved processing time, freed clinicians from data entry, and created a future-ready digital platform.
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