待翻译：Vertical Advantage: Transforming Industries with Lakebase and Agentic AI

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Vertical Advantage: Transforming Industries with Lakebase and Agentic AI | Databricks Blog Skip to main content Leading consulting and SI partners have built production-ready solutions on Databricks Lakebase that pair deep industry expertise with a single governed foundation for operational data, analytics, and AI. Industry-specific solutions span financial services, manufacturing and energy, retail, CPG, travel and hospitality, healthcare and life sciences, communications and media, and the public sector — from regulatory-change and fraud agents to real-time claims, prior authorization, dynamic pricing, and grid intelligence. Every solution is ready to deploy today, using Lakebase's serverless Postgres, sub-10ms operational serving, zero-copy branching, and agent-native memory to collapse the distance between insight and action and turn platform capability into measurable business value. In the first blog of this series, we looked at how Lakebase Postgres is rewriting the foundation of enterprise applications - collapsing the decades-old divide between operational and analytical systems into a single governed platform. By bringing a serverless, Postgres transactional database directly onto the Data and AI Platform, Lakebase eliminates the pipelines and duplicate governance that used to sit between a transaction and a decision. We covered the cross-industry and function-specific accelerators our partners have built on that foundation - the reusable patterns for agent memory, database modernization, and real-time operations that apply no matter what business you're in. The market response has been decisive: since launch, Lakebase adoption has grown at more than twice the rate of our data warehousing product, with thousands of companies now running production workloads. But foundational capability only becomes competitive advantage when it meets the specific realities of an industry - the regulatory change a bank must respond to and prove it did, the claim an insurer needs to adjudicate in minutes instead of days, the prior authorization a provider can't keep a patient waiting on, the empty shelf a retailer has to catch before the shopper walks out. This is where our consulting and SI partners turn the platform into an outcome. In this second blog, we showcase the industry-specific solutions Databricks partners built on Lakebase - spanning financial services, manufacturing and energy, retail, CPG and travel and hospitality, healthcare and life sciences, communications and media, and the public sector. Each pairs deep vertical expertise with the operational speed, unified governance, and agent-readiness of the Databricks Lakebase, and each is production-ready today. This blog showcases innovative partner solutions built on Databricks Lakebase across the following categories: Financial Services Manufacturing and Energy Retail, CPG, Travel & Hospitality Healthcare and Life Sciences Communications, Media, Entertainment and Gaming Public Sector Financial Services Advancing analytics Advancing Analytics’ Regulation Change Agent helps financial services firms respond to regulatory change, and prove they have, using Databricks Lakebase. Compliance teams face rising volume from FCA, PRA and EU bodies, but the hard part is not just reading rules. It is proving what changed, when it was identified and how the firm responded. Specialist agents monitor, interpret and gap-check each change, while Lakebase acts as the system of record for events, analysis, drafts and decisions. Unity Catalog governs the lakehouse context the agents read. The result is faster response, less manual effort and a defensible audit trail for regulators. Read this blog to learn more. Bitwise The Bitwise AI-Native Claims Operations Platform, built on Databricks Lakebase and the Databricks Data Intelligence Platform, transforms claims processing from fragmented, manual workflows into an intelligent, AI-driven operational platform. Rather than replacing core insurance systems such as Guidewire or Duck Creek, it complements them by serving as the System of Work, while Databricks becomes the System of Intelligence. Lakebase provides a high-performance collaborative workspace for claims intake, investigations, document management, vendor coordination, and adjuster activities, with continuous synchronization into the Databricks Lakehouse through Lakeflow. Powered by a Claims Knowledge Graph and Mosaic AI agents, the platform delivers real-time fraud detection, severity prediction, reserve recommendations, document intelligence, and adjuster copilots. Insurers can reduce claims adjudication from days to minutes, lower indemnity leakage and Loss Adjustment Expenses (LAE), eliminate complex ETL and CDC pipelines, improve adjuster productivity, accelerate settlement cycles, and ultimately optimize loss ratio, combined ratio, and customer satisfaction. Capgemini KYC + pKYC industry accelerator: Capgemini’s KYC + pKYC accelerator is a domain-driven, agentic-powered solution designed to transform KYC and pKYC processes. By leveraging deep domain expertise and data-driven automation alongside conversational AI, the accelerator streamlines client onboarding, continuous monitoring, and periodic recertification. It establishes a unified KYC Data Foundation on a Lakehouse architecture, incorporating policy- and regulation-aware reasoning. This solution utilizes Lakebase to enable some of the key processes in report management and overall markedly reduces manual effort, accelerates onboarding timelines, enhances explainability and auditability, and delivers a scalable, future-ready framework for intelligent KYC and pKYC operations. Datapao The Datapao Hyper-Personalization Accelerator combines Databricks Genie and Lakebase to deliver real-time, individualized customer experiences at enterprise scale. The solution unifies analytical intelligence from the lakehouse with low-latency operational serving, enabling marketing, e-commerce, and customer experience teams to generate tailored recommendations, content, and offers with sub-second responsiveness. Business users can explore customer segments and validate personalization hypotheses through natural-language queries in Genie, while Lakebase powers the production-grade serving layer for live applications. Built on Unity Catalog for governed, compliant access to customer data, the accelerator provides a repeatable blueprint for operationalizing personalization across industries. Read this blog to learn more. Entrada Entrada's Mortgage Intelligence Platform unifies internal pipelines, Cotality property intelligence, competitive signals, and geospatial context into an actionable view. AI-native insights reveal hidden opportunities and risks, empowering loan, underwriting, and risk teams. Built-in agent orchestration and Lakebase audit trails ensure every recommendation is transparent, reviewable, and fully compliance-ready. Leveraging Genie's conversational analytics and Agent Bricks orchestration, the platform enables organizations to query insights in plain language, assemble complete intelligence dossiers, and act decisively on retention and origination opportunities. Read this blog to learn more. IBM Claims & Underwriting Copilot: Claims and underwriting are where customer experience, loss economics, and compliance collide. A Claims & Underwriting Copilot built on Genie + Lakebase gives adjusters and underwriters one real-time decision layer: unified policy, claims, third-party, and document data; automated extraction from submissions, FNOLs, medical records, estimates, and correspondence; predictive risk scoring; and governed recommendations with human oversight. Capgemini’s November 2025 World Cloud Report findings show insurers are targeting AI agents at underwriting (68%) and claims processing (65%), yet only 10% of financial institutions have agents deployed at scale. That gap is the opportunity: accelerate decisions without sacrificing control or trust at enterprise speed. Impetus Impetus’ Near real-time credit card fraud detection solution framework on Databricks, powered by Lakebase and Genie, enables low-latency processing of high-volume transactions. Streaming pipelines ingest and transform data, while Lakebase serves intelligent features for fast, scalable inference. Machine learning models, combined with rule-based logic, enable accurate fraud detection, and Genie delivers conversational insights on compliance and risk data. This unified approach ensures near real-time decisioning, governed intelligence, and scalable performance, empowering enterprises to proactively detect fraud while maintaining transparency, auditability, and easy access to insights. Impetus’ Solution Framework for Real-Time Claims Processing, built on Databricks Lakebase: Insurance claims processing is a critical function for insurers, encompassing claim submission, validation, adjudication, and settlement. Traditional systems often operate in silos with batch-driven processing, resulting in delayed approvals, fragmented data, and reactive decision-making. Impetus modernizes this use case with a Lakebase-centric architecture, where claim and payment transactions are captured in real time, enabling low-latency, ACID-compliant operations with high concurrency. Leveraging Databricks’ unified data platform, transactional data can be read and written directly to Lakebase for real-time operations, while data is synced to the Lakehouse for analytics, insights, and improved operational efficiency. Read this blog to learn more. Indicium AI Enterprise Risk Intelligence gives executives continuous visibility into operational, financial, and compliance risk across the business. Built on Databricks with Lakebase, the solution unifies risk signals into governed executive views, surfaces anomalies as they emerge, and enables conversational investigation of root causes. Leaders move from quarterly risk reviews to real-time decision-making, while governance teams reduce manual oversight effort by 30 to 50% without compromising control. Carriers, banks, and regulated enterprises strengthen audit posture, resolve incidents in hours instead of weeks, and free capacity from reactive reporting. The outcome is a risk function that scales with the business rather than against it. Read this blog to learn more. Koantek Risk and Compliance based on Ascend AI AppBase productizes Databricks Apps and Lakebase best practices into governed operational-app delivery. A growing library of Lakebase-first starter kits runs on a shared Data-Intelligent Starter foundation, starting with customer intelligence, AI agent operations, risk and compliance, and industrial operations. Each kit serves Unity Catalog data via Synced Tables, stores transactional app state in Lakebase, and ships via app resources, valueFrom bindings, service-principal permissions, and Declarative Automation Bundles. Koantek adds the field layer that moves a kit beyond a demo: vertical schemas, grant matrices, generated bundles, QA harnesses, and proof-ready evidence. Read this blog to learn more. LTM LTM's Risk Sentinel is an early risk warning system for Banks. In a world where risks whisper before they roar, Risk Sentinel cuts through the noise, detecting weak signals, connecting the dots across payments, transactions, and market shifts, and surfacing prioritized, evidence-backed risk cases before accounts turn non-performing. Its agentic operations ensure zero alerts are ignored, delayed, or lost, every signal is owned from creation to closure. It is built using two platforms - Databricks and LTM's BlueVerse. LTM BlueVerse a low-code/no-code AI platform with a marketplace of prebuilt reusable agents. Risk sentinel leverages pre-built agents and tools from BlueVerse and seamlessly integrates with Databricks platform. The application is hosted on Databricks Apps, Lakebase for configuration and tok [truncated for AI cost control]