Hypercell for SNAP: AI solution for government compliance challenges

Introducing Hypercell for SNAP: Hyperscience has launched a first-of-its-kind AI solution purpose-built to help U.S. State and Local Governments meet rising compliance challenges from H.R. 1 and avoid multi-million-dollar penalties. Hypercell for SNAP brings Intelligent Document Processing (IDP) to one of the most document-heavy government workflows, processing over 30 eligibility document types per application, with greater speed and accuracy. Why it matters: With H.R. 1 requiring double the documentation and stricter recertification timelines, most states are on track to fall short. Hypercell for SNAP gives agencies immediate leverage to modernize operations and improve outcomes for the 42m Americans who rely on food assistance. Learn more about how AI can help modernize SNAP: https://shorturl.at/TZ1Zo #PublicSectorAI #SNAP #DigitalTransformation #GovTech #ResponsibleAI

OpenAI is not the only AI with its claws in the British administration. The Department for Health and Social Care reported productivity improvements during a trial of Microsoft 365 Copilot covering 30,000 NHS staff across 90 organizations. According to Microsoft, an average of 43 minutes per person per day was saved.

𝐕𝐞𝐜𝐭𝐨𝐫 𝐬𝐭𝐨𝐫𝐞𝐬 𝐝𝐨𝐧’𝐭 𝐟𝐨𝐫𝐠𝐞𝐭. 𝐃𝐨 𝐲𝐨𝐮𝐫 𝐩𝐫𝐢𝐯𝐚𝐜𝐲 𝐩𝐨𝐥𝐢𝐜𝐢𝐞𝐬? RAG helps accuracy, but your vector store keeps everything. Embeddings encode meaning; deletion needs more than removing source files. One mis-tagged chunk can expose confidential plans across teams. ↳ Segment by tenant; separate indexes and keys per audience. ↳ Attach metadata ACLs; enforce filters at query time. ↳ Automate deletions; propagate removals to embeddings, caches, and backups. ↳ Tune chunking sizes; balance recall with minimizing sensitive spillover. Mini case: Sales bot retrieved an internal memo during a demo. Root cause was missing tags on a private folder. Team rebuilt ingestion, added ACL checks, and deletion SLAs. Confidence recovered across teams, improving customer conversations and enablement. ♻️ Repost to your LinkedIn empower your network & follow Timothy Goebel for expert insights: #AI #DataGovernance #PrivacyByDesign #MarketingStrategy #MLOps

I’ve been fortunate to be able to work in this exciting time for our industry. — from handwritten forms to document verification to now, AI-driven eligibility decisions that are explainable, transparent, and fast. What excites me most about Part 3 of “From Paper to Platform” isn’t just the technology — it’s what it enables: ✅ Caseworkers spending more time with citizens, not paperwork ✅ Decisions linked directly to CFR rules for accountability ✅ A foundation that scales to TANF, Medicaid, and beyond This is how digital government should work — AI as a partner to the human mission of service. Proud of what our Servos team continues to build and to see states embracing this next evolution in human services modernization. #AITransformation #DigitalGovernment #ServosGov

Virginia DSS is thinking big—and fast. The agency has just released an RFI seeking innovative solutions to improve SNAP error rate accuracy. With aggressive deadlines that could significantly impact federal reimbursement, this is an important opportunity for the technology and consulting community to help Virginia—and other states—rethink how they manage accuracy, data quality, and program performance. Now is the time for creative, data-driven, and actionable innovation. Let’s help our state partners modernize, meet their goals, and deliver better outcomes for families. https://lnkd.in/e5rpQqGg #HHSIT #SNAP #Innovation #AI

🚀 Automating Receipt Processing with n8n + OpenAI + Google Sheets Recently, I built an n8n workflow that turns messy receipt uploads into clean, structured data - automatically. Here’s how it works: 🟢 Trigger: When a user uploads a receipt photo through a simple form (or Postman), it triggers the workflow. 🤖 Data Extraction: The image is sent to OpenAI, which extracts the key details - store name, total amount, date, items, etc. 🔄 Transformation: The response string is parsed into a proper JSON object, combined with metadata like file name or upload timestamp. 📊 Storage: The structured result is saved directly into Google Sheets for easy access, filtering, and tracking. This small automation eliminates manual data entry and shows how easily AI + no-code tools can simplify everyday processes. #n8n #OpenAI #Automation #NoCode #WorkflowAutomation #GoogleSheets #AIintegration

💭 “Most enterprises are solving the wrong data problem.” In this Fast Company piece, Voxel51’s Brian Moore shares how FiftyOne helps organizations measure and improve dataset quality so models perform under real-world conditions, not just in controlled tests. Give it a read: https://lnkd.in/gVKNTudA

#Couchbase 8.0 is a landmark release that delivers end-to-end AI data lifecycle support for enterprises building AI applications and agentic systems, and hundreds of other customer enhancements. With this release we now have three distinct vector indexing and retrieval capabilities that support a variety of diverse vector workloads. In addition we have made a number of operational and developer improvements. Watch for more details: https://lnkd.in/gA3tpCfa

Couchbase 8.0 just dropped, and it’s packed. Full AI data lifecycle support, new vector indexing options, and a ton of developer upgrades. This one’s a major step toward making AI apps and agentic systems production-ready!

Workflow War: n8n vs OpenAI – The Battle for Automation Supremacy is On! 🚀 The automation landscape is heating up! We're seeing a fascinating dynamic emerge: Europe building, America accelerating. Specifically, the buzz around n8n (with its open-source roots firmly planted in Europe) going head-to-head with OpenAI's advancements in the automation space is incredibly exciting. While OpenAI focuses on embedding AI power directly into workflows, n8n continues to champion its robust, customizable, and transparent approach, allowing users to build complex integrations without being locked into specific ecosystems. This "build it yourself" ethos resonates strongly with many enterprises craving control and data sovereignty. The real win here is for the end-user! This competition fosters innovation, drives down costs, and ultimately empowers businesses of all sizes to automate more effectively. Are we seeing a new paradigm where open-source workflows challenge AI-driven automation? Time will tell! What are your thoughts? Which approach resonates more with your organization – the flexibility and control of open-source solutions like n8n, or the power and intelligence of AI-driven automation platforms? Let's discuss in the comments! 👇 #n8n #OpenAI #Automation #WorkflowAutomation #NoCode #LowCode #Integration #EuropeTech #OpenSource #ArtificialIntelligence #FutureofWork Read Full Article Here: https://lnkd.in/ggFdtCQg