# Account Management Published articles for Account Management. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## How AI-native companies turn workflows into operating capability DevFeed: [How AI-native companies turn workflows into operating capability]() Original publisher: [Read original article]() Published: 2026-09-01T17:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [Artificial Intelligence]() Tags: [account-management](), [agents](), [ai](), [ai-adoption](), [ai-agents](), [codex](), [developer](), [experimentation](), [integration](), [onboarding](), [tools](), [workflows]() ### AI overview The article explains how Basis, Clay, and Exa Labs embed AI agents into onboarding, account management, and developer integrations. It presents a progression from teaching agents stable processes to giving them persistent context and enabling tested action, with emphasis on repeatability, measurement, trust, and continuous improvement. ### Source excerpt Basis, Clay, and Exa Labs use AI agents to improve onboarding, account management, and developer integrations. See what enterprise leaders can apply. ## Building Jarvis Pro: Route first, answer later DevFeed: [Building Jarvis Pro: Route first, answer later]() Original publisher: [Read original article]() Author: Christian Coffrant Published: 2026-08-21T00:00:00Z Content type: article Language: en Sources: [Grab Tech]() Topics: [AI Chat]() Tags: [account-management](), [ai](), [artificial-intelligence](), [business](), [classification](), [data](), [engineering](), [evaluation](), [llm](), [product](), [routing]() ### AI overview Grab describes Jarvis Pro, an AI assistant for account managers that routes a request to a constrained task type before generating an answer. The design aims to avoid confident but unsuitable merchant recommendations, and reports offline routing and answer-quality evaluation results. ### Source excerpt Introduction The first Jarvis Pro prototype could produce answers that sounded right. That was the problem. One early answer looked polished: it named the merchant, summarized the week, and recommended pushing promotions before the next review. It was also wrong. The merchant's order volume was down, but the sharper issue was operational: more outlets were paused and fulfilment had slipped. Sending more demand into that setup would have made the merchant look worse. That failure changed how we judged the system. Fluent was not enough. Jarvis Pro is the AI assistant we built for Grab account managers. Its job is to help them turn account data into better merchant conversations: what changed, why it changed, and what to do next. They rarely ask clean dashboard questions. They ask: "I am meeting this merchant tomorrow. What should I tell them?" or "Which accounts in my portfolio need attention this week?" Those questions hide decisions: scope, access, business diagnosis, and metric definition. If the system gets those wrong, confidence becomes a liability. So the core design became: route first, answer later. In an internal offline evaluation (not a measure of production performance or business impact), routing matched the expected safe route for 99.4% of 351 realistic prompts drawn from labelled eval sets from the first half of 2026. In a focused portfolio and brand answer-quality suite, the average score moved from 78.5 to 91.0. These figures come from offline launch-readiness evaluation only; they are not business-impact proof. Why dashboards were easier A dashboard answers a bounded question: "Show net sales for merchant X last week." An account review question has to diagnose the work to be done: "This merchant softened this week. Should I push promos, ads, or operations fixes before the review?" If outlets were paused, more traffic can backfire. If average order value fell, the next action may be menu or bundle design. If a dashboard, warehouse table, and local s ## Circles powers telco personalization with OpenAI technology DevFeed: [Circles powers telco personalization with OpenAI technology]() Original publisher: [Read original article]() Published: 2026-08-03T00:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [OpenAI](), [Artificial Intelligence](), [API](), [Software as a service](), [data](), [real-time](), [codex]() Tags: [account-management](), [agents](), [ai](), [api](), [codex](), [customer-engagement](), [data](), [development](), [efficiency](), [openai](), [real-time](), [saas](), [testing]() ### AI overview Circles uses the OpenAI API and Codex to build AI-native telco experiences, including personalized recommendations, conversational support, and specialist-agent workflows. The article reports a 22% increase in ARPU, a 9% reduction in churn, a 65% autonomous support resolution rate, and a 29% improvement in development efficiency. ### Source excerpt Circles uses the OpenAI API and Codex to power AI-native telco experiences, increasing ARPU by 22%, reducing churn by 9%, and improving development efficiency. ## Introducing DigitalOcean Organizations, a new and comprehensive account layer DevFeed: [Introducing DigitalOcean Organizations, a new and comprehensive account layer]() Original publisher: [Read original article]() Author: Nicole Ghalwash Published: 2025-10-02T08:00:00Z Content type: release Language: en Sources: [DigitalOcean]() Topics: [Digital Ocean](), [Cloud]() Tags: [account-management](), [announce](), [billing](), [cloud](), [customers](), [digitalocean](), [enterprise](), [feature](), [management](), [organization](), [payment](), [product-updates](), [teams]() ### AI overview DigitalOcean announces Organizations, a new top-level account layer that lets customers consolidate multiple teams under one organization. It is intended to centralize access management, simplify billing, and provide a unified view of their DigitalOcean cloud presence. ### Source excerpt We're excited to announce a powerful, new top-level account layer designed to bring all your teams together under one cohesive structure. This new account layer--we call it Organizations--is perfect for teams that need scalable structure without the massive, complex overhead of traditional enterprise cloud providers. Organizations was built to simplify account management for DigitalOcean customers who manage multiple teams and users. We've heard from our growing customers, agencies, partners, and enterprises that managing multiple teams, separate bills, and fragmented user access is a pain. With this new organization layer, you can better organize your team's access even as you scale up. Why we built a new account layer Before today, every Team on DigitalOcean was treated as its own separate account. If you managed five different clients, five different projects, or five internal departments, that meant five separate bills, five different places to manage user access, and a fragmented view of your overall cloud presence. Our new account layer closes this gap by allowing you to consolidate multiple teams under one Organization, providing the centralized control and simplified operations needed by growing enterprises. By unifying your entire DigitalOcean presence into a single group, so you can streamline operations, gain more financial control, and build a cohesive environment that scales seamlessly. What this new feature means for your team The new Organizations account layer is designed to save you time, reduce administrative overhead, and give you a clearer picture of your entire DigitalOcean environment. 1. Consolidated billing and financial control For customers managing dozens of teams, manually reconciling separate invoices and payment methods is a monumental task. We've eliminated it. Here's how: Single invoice: Receive one unified invoice and utilize a single payment method for every Team included in an Organization. Detailed spend breakdown: Get complete fina ## Keycloak and Angular CLI DevFeed: [Keycloak and Angular CLI]() Original publisher: [Read original article]() Author: Stan Silvert Published: 2018-02-09T00:00:00Z Content type: tutorial Language: en Sources: [Keycloak Blog]() Topics: [Keycloak](), [Angular](), [Angular CLI](), [npm](), [browser]() Tags: [account-management](), [angular](), [angularjs](), [browser](), [cli](), [idm](), [kerberos](), [keycloak](), [ldap](), [npm](), [openid-connect](), [saml](), [self-service](), [sso]() ### AI overview This tutorial shows how to install and configure Keycloak in an Angular CLI application using a schematic. It covers importing a generated client configuration, running the application, and using the resulting Keycloak service and guard for authentication-related features. The integration is described as early alpha software. ### Source excerpt So I made a schematic that installs and configures Keycloak in any Angular CLI application. If you want to try it out, do this from the command line: npm install -g @ssilvert/keycloak-schematic ng new myApp cd myApp ng generate keycloak --collection @ssilvert/keycloak-schematic --clientId=myApp Now Keycloak is integrated into your app. Of course, you can do this with any existing Angular CLI application. It doesn't have to be a new one. Then, go to the Keycloak Admin console (master realm) and go to Clients --> Add Client --> Select File. Select the client-import.json file that the "ng generate keycloak" command created in /myApp. Assuming your Keycloak server is running on localhost:8080, you are ready to go. Start your application: ng serve Go to your browser to start the app and see this: Oh joy! myApp is protected with Keycloak! The keycloak-schematic installs a KeycloakService and a KeycloakGuard. So you can easily: Add login/logout buttons Access user self service (account management) Guard protected routes instead of the whole app Work with roles Lots more Click here for a comprehensive getting started guide, full documentation, and sample code. Note that this stuff is early alpha right now. And it will move from @ssilvert to @keycloak before long. In the mean time, I'd love to get feedback. There is a lot to do to make Keycloak/Angular integration even better, but I think the keycloak-schematic is a big step forward. So long, and thanks for all the fish.