Customer Success
Case Studies
Real-world examples of how Adivi’s AI solutions drive efficiency, growth, and innovation.
Bilingual AI Legal Assistant for a Multi-Jurisdiction Law Firm
Law firm · Confidential client
An Arabic/English AI assistant that drafts legal documents, retrieves precedents with semantic search and analyses case files, with each country's data isolated in its own region.
Ambient Clinical Documentation and Coding Assistant for a Multi-Specialty Hospital Group
Multi-specialty hospital group
An ambient AI scribe that listens to the consultation, drafts the clinical note into the EHR, suggests the codes the encounter supports and flags the documentation gaps that cause claim denials, with PHI never leaving the hospital's own environment.
AI-Based Textile Pattern Design
Textile manufacturer and print design studio
A diffusion model fine-tuned on a studio's own design archive, so designers can generate on-brand, print-ready textile patterns in minutes and spend their time refining the best ones.
Fine-Tuning an Open-Source LLM for Domain-Specific Service Triage
Industrial equipment manufacturer's service desk
A privately hosted, fine-tuned language model that understands product-specific terminology to classify, prioritise, summarise and draft replies for service tickets, at a fraction of the cost of a general-purpose API.
Custom Computer Vision Model for Vehicle Damage Inspection
Used-vehicle and trade-in operation
A custom-trained detection model that finds and grades dents, scratches and panel damage from walk-around photos, so trade-in inspections are faster, more consistent and easier to defend with customers.
Lead Scoring Model for the Automotive Industry
Multi-brand automotive dealer group
A machine learning model that scores every inbound sales lead by how likely it is to buy, so sales teams call the hottest leads first and can see why each lead scored as it did.
Customer Churn Prediction Model for the Automotive Industry
Dealer network with high post-warranty service attrition
A model that predicts which customers are likely to stop using the dealership for service, and when, so retention teams can act before those customers move to independent garages.
Customer Lifetime Value (CLV) Model for the Automotive Industry
Automotive retailer with sales, service and F&I operations
A forward-looking CLV model that predicts each customer's value across vehicle sales, service, parts and finance, so marketing, retention and trade-in decisions are made on future value.
Customer Segmentation for Automotive Customers
Dealer group running brand-wide CRM campaigns
Data-driven customer segments built from purchase, service and engagement behaviour, turned into named personas the marketing and sales teams can act on.
Recommendation System for Automotive Products & Services
Automotive retailer with service, accessories and F&I products
A hybrid recommendation engine that suggests the next best service, accessory, protection product or vehicle upgrade for each customer, shown to service advisors, in the customer app and in email.
Data Engineering: Rebuilding a Nightly Batch Estate as a Lakehouse
Multi-brand retail and distribution group
A group whose reports disagreed with each other and arrived too late to act on. We replaced overnight extracts and hand-maintained SQL with change-data-capture ingestion, a layered lakehouse, tested dbt models and contracts on every source, so one set of numbers lands before the business day starts.
Forward Deployed Engineering: Clearing a Warranty Claims Backlog
Automotive parts manufacturer
An Adivi engineer embedded with a manufacturer's warranty, quality and IT teams found the real bottleneck, then built, integrated and ran an AI claims-triage system in the client's existing tools.
Forward Deployed Engineering: Automating Order Intake for an FMCG Distributor
Regional FMCG distributor
The distributor asked for a demand forecast. Our embedded engineer found that the real problem was how orders came in. They fixed order intake first, then built replenishment forecasting on the clean data that resulted.
Scaling Candidate Outreach with an AI Voice Agent Platform
Staffing & recruitment business · Confidential client
A multi-tenant AI voice agent platform that runs natural, configurable screening calls at scale, handling many roles and clients at once.
AI Tender Assistant: From Tender PDF to Bid Draft
Product showcase for EPC and infrastructure bid teams
A multi-agent assistant that reads government tenders, extracts eligibility criteria, checks them against the company profile with a deterministic engine and drafts the bid response.
How AI Turns a 10-Room Lakefront Resort into a Revenue Engine
Boutique lakefront resort · Confidential client
A direct-booking website with six AI/ML modules: a 24/7 bilingual concierge, dynamic pricing, personalisation, pre-arrival upselling, review intelligence and demand forecasting.
Advanced Dealership Account Management System
Automobile dealership network · Confidential client
Streamlined automobile dealership operations with a central account management system, providing real-time visibility into sales and service data.
Real-Time Site Progress Manager
Construction & infrastructure contractor · Confidential client
Implemented a digital site progress monitoring system that tracks construction milestones and optimizes resource allocation in real-time.
Automated HR Management & Candidate Shortlisting
HR and recruitment technology provider · Confidential client
Leveraged AI to automate candidate shortlisting and hiring processes, significantly reducing time-to-hire and improving recruitment accuracy.
Premium E-commerce Platform for Jewelry Retailers
Premium jewelry retailer · Confidential client
Developed a high-end e-commerce experience tailored for jewelry retailers, featuring secure transactions and sophisticated collection management.