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AI Customer Support Chatbot for an EV Charging Network

Integra Energy commissioned an AI-powered customer support chatbot for its US EV charging network. Delivered in 2.5 months and deployed within the client’s AWS environment, the system supports text and voice interactions, multilingual conversations, and hundreds of simultaneous users. It answers questions using a private, configurable knowledge base of FAQs and troubleshooting guides, with web search available when internal information is insufficient. An admin dashboard supports monitoring and knowledge-base refinement, while queries and responses remain within the client’s system.

Apriorit· Energy & Utilities

MEDIX - It's A Matter Of Life

Medix is a global leader in medical management, serving over 6 million members across 90+ countries with 300 in-house doctors and a network of 4,000+ specialists and 2,000+ hospitals. The app offers digital medical records with trends and alerts, disease management toolkits, case management, risk assessments, video consultations, appointment scheduling, and medical knowledge access. Stanga1 helped deliver continuous health visibility, tailored insights, real-time specialist responses, and on-demand consultations for acute and chronic conditions. Key features include digital records with trend analysis, disease toolkits, case coordination, risk scoring, telehealth chats with doctors and specialists, a medical calendar with reminders, and an accessible knowledge base.

Stanga by ONE· Healthcare

DarioHealth

DarioHealth is a digital health company transforming chronic condition management via a user-centric, multi-condition digital therapeutics platform, delivering personalized interventions and coaching for diabetes, hypertension, weight management, MSK pain, and behavioral health. Goals included personalized diabetes management, seamless data integration, enhanced engagement, and global accessibility. Stanga1 helped deliver a secure, user-centric experience with global reach. Key features include connected devices such as glucometers, blood pressure monitors, smart scales, and MSK sensors syncing in real time; multi-condition support with configurable pathways; outcome tracking; and a consumer app integrating education and progress visualization for payers, employers, and providers.

Stanga by ONE· Healthcare

Scaling RAG from Pilot to Production

Moving RAG from pilot to production is primarily an engineering and operating-model challenge, not a model-selection exercise. This insight explains why retrieval quality, evolving knowledge bases, latency, security, and limited observability cause otherwise successful prototypes to stall. It outlines the production capabilities required: reliable retrieval, continuous evaluation, governance and auditability, scalable architecture, monitoring, and cost control. Technology leaders should use these criteria to assess whether a RAG initiative can deliver dependable outcomes for real users at enterprise scale.

Opinov8Article/Blog post

Proving Data Sovereignty for Agentic AI

Agentic AI increases governance risk because autonomous workflows can cross multiple data domains without a human approving each access. This insight defines four controls CDOs must be able to evidence: accountable ownership, end-to-end lineage, consistently enforced access policies, and rapid auditability. It also explains how a unified governance layer, including Databricks Unity Catalog, can connect these controls across data and AI assets. Leaders should use these proofs to determine whether their data platform is ready for sensitive AI workloads and regulatory scrutiny.

Opinov8Article/Blog post

Personalization Requires an Operating Model

Personalization fails when it is treated as a feature rather than an operating discipline. The article explains how relevance, timing and consistency depend on unified customer data, scalable content, cross-functional alignment and clear governance. It also distinguishes helpful relevance from surveillance by making value exchange and trust explicit design constraints. Technology leaders should assess these foundations before selecting platforms or expanding automation, because fragmented ownership will produce fragmented customer experiences.

Value LeapArticle/Blog post