# Product Advisors Case Studies Product Advisors delivers measurable results for clients across infrastructure automation, AI-powered product transformation, and enterprise-scale technology integration. The following case studies illustrate our approach and outcomes. --- ## Dassault Systemes: Large-Scale Infrastructure Automation & Standardization **Client:** Dassault Systemes **Partner Lead:** Ken Anderson, Partner, Technology & Infrastructure **Engagement Type:** Technology transformation and M&A integration ### Context Following multiple global acquisitions, Dassault Systemes faced increasing complexity across infrastructure, tooling, and operating systems. Over 200,000 endpoints and hundreds of distributed environments needed to be standardized, secured, and maintained consistently across regions. ### Challenge - Fragmented infrastructure across acquired companies with inconsistent deployment and configuration processes - High operational overhead for patching and provisioning across multiple OS platforms (Linux, Windows, Unix) - Need for scalable, repeatable automation that could absorb future acquisitions - Requirement to align global IT standards while maintaining business continuity during integration ### Approach - Designed and implemented a centralized automation platform using Infrastructure as Code and configuration management - Introduced standardized provisioning workflows across Linux, Windows, and Unix systems - Built automated patching and lifecycle management processes across all environments - Integrated vendor APIs (infrastructure and storage providers) for scalable hardware and system provisioning - Supported M&A integration by evaluating and harmonizing newly acquired infrastructures into the unified platform ### Results - **200,000+ systems** managed consistently across global environments - **40-60% reduction** in manual operations through an automation-first approach - **70% faster onboarding** of newly acquired companies into the unified platform - Improved security and compliance through standardized patching and configuration across all endpoints - Established foundation for one of the largest automation environments in its class ### Key Focus Areas Infrastructure Automation, DevOps Transformation, Global Standardization, M&A Integration, Scalable Systems Architecture --- ## ADP: AI-Driven Product Transformation **Client:** ADP (Automatic Data Processing) **Engagement Type:** AI transformation and product strategy ### Context ADP, one of the world's largest human capital management and payroll processing companies, sought to enhance its product suite through AI-driven capabilities. The engagement focused on improving customer experience, increasing conversion rates, and strengthening fraud detection across ADP's product portfolio. ### Challenge - Customer satisfaction scores needed improvement across key product touchpoints - Conversion rates in self-service workflows were below target benchmarks - Fraud detection capabilities required modernization to address evolving threat patterns - The transformation needed to integrate with ADP's existing large-scale infrastructure serving millions of users ### Approach - Conducted comprehensive product strategy assessment identifying highest-impact AI integration opportunities - Designed AI-powered customer experience improvements targeting key friction points in the product journey - Developed machine learning models for enhanced fraud detection and risk scoring - Implemented phased rollout strategy to validate improvements incrementally before full deployment - Aligned AI capabilities with ADP's existing product architecture and data infrastructure ### Results - **30%+ improvement in CSAT** (Customer Satisfaction) scores across targeted product areas - **43%+ increase in conversion rates** for self-service workflows enhanced with AI - **Measurable reduction in fraud** through AI-powered detection and risk scoring models - Successfully integrated AI capabilities into existing product infrastructure at enterprise scale - Established repeatable framework for ongoing AI-driven product improvements ### Key Focus Areas AI Transformation, Product Strategy, Customer Experience, Fraud Detection, Conversion Optimization, Enterprise SaaS --- ## Our Approach to Every Engagement Across all case studies, Product Advisors follows a consistent methodology: 1. **Diagnose first.** We begin every engagement with a structured assessment, whether that is a product audit, technology evaluation, or AI readiness review. We do not prescribe solutions before understanding the problem. 2. **Prioritize by impact.** We identify the two or three initiatives that will deliver the most measurable value, rather than presenting a 50-page roadmap of aspirational projects. 3. **Embed and execute.** Our advisors work alongside client leadership teams, not from a distance. We implement alongside CPOs, CTOs, and operating partners rather than leaving recommendations in slide decks. 4. **Measure outcomes.** Every engagement defines success metrics upfront. We track progress against those metrics and adjust course when data demands it. ## Industries Served These case studies represent a cross-section of Product Advisors' work. We serve clients across: - [Private Equity Portfolio Companies](/private-equity) - [B2B Software Companies](/b2b-software) - [Healthcare Technology](/healthcare-technology) - [Professional Services Firms](/professional-services) --- **Want to see results like these in your organization?** [Contact Product Advisors](/contact) to discuss your product strategy, AI transformation, or technology integration challenges.
Product Advisors 