ELI5

Use Case 1: Modernizing Legacy Enterprise Software

Problem: Organizations often rely on outdated "legacy" software that is slow, incompatible with modern AI tools, and contains fragmented data that is difficult to migrate without risking business continuity.
Solution: Eli5 Product Studio specializes in replacing legacy systems using their "6R approach." They manage the complex data migration process and rebuild business-critical tech into high-performance, AI-ready infrastructure.
Example: A financial institution with a 20-year-old database partners with Eli5 to migrate their records to a modern cloud architecture, implementing an AI layer that automates compliance checks that previously took weeks to perform manually.

Use Case 2: Reducing Operational Costs via AI Self-Service

Problem: Large enterprises often face high customer service overhead, with human agents overwhelmed by repetitive inquiries, leading to long wait times and high operational costs.
Solution: Eli5 builds custom, self-service AI platforms that handle complex customer interactions autonomously, allowing businesses to eliminate or significantly reduce traditional phone support.
Example: A utility company (similar to the "Total" case study) implements an Eli5-built AI platform that resolves 50% of customer billing and service queries instantly, allowing the company to sunset their expensive external call center.

Use Case 3: Intelligent Knowledge Retrieval for Historic Archives

Problem: Organizations with decades of documentation (PDFs, reports, archives) find it impossible to quickly locate specific insights, as traditional keyword search is too imprecise for massive, unstructured datasets.
Solution: Eli5 develops AI-powered search and recommendation engines that can "understand" the context of decades of archived material, making a 70-year-old archive as searchable as a modern database.
Example: A global market research firm uses an Eli5 solution to allow employees to ask natural language questions (e.g., "What were the consumer trends in Tokyo in 1985?") and receive instant, cited summaries from their internal library of thousands of physical and digital records.

Use Case 4: Optimizing Resource Allocation in Healthcare

Problem: Hospitals and ICU departments struggle with "patient flow"—deciding when to admit or discharge patients—leading to high readmission rates and inefficient use of critical care beds.
Solution: Eli5 builds AI-powered decision support tools that analyze patient data in real-time to predict outcomes and suggest the best course of action for hospital staff.
Example: Using the Pacmed model, a hospital integrates Eli5’s software into their ICU workflow to receive alerts on which patients are at high risk for readmission, allowing doctors to adjust discharge plans and optimize bed availability for incoming emergencies.

Use Case 5: Streamlining High-Volume Recruitment and Staffing

Problem: Firms managing staffing across multiple locations or high-growth startups often get bogged down by the manual labor of screening, registering, and matching candidates to shifts.
Solution: Eli5 creates AI-powered automation labs and custom registration applications (like Shiftio) that handle the heavy lifting of recruitment, from initial vetting to logistics management.
Example: A global logistics agency uses an Eli5-developed platform to automatically match 500+ daily shift workers to various client sites based on proximity, skill level, and historical performance, reducing manual scheduling time by 80%.