AI Buyer Insights:

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

List of Amazon Quick Suite Customers

Apply Filters For Customers

Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Aderant Professional Services 700 $164M United States Amazon Web Services (AWS) Amazon Quick Suite Generative AI Platforms 2025 n/a
In 2025, Aderant deployed Amazon Quick Suite to transform cloud operations supporting its Expert Sierra platform. The initial rollout began with an October 2025 pilot of the CloudOps Helper bot, followed by full deployment and a Chrome extension rollout in November 2025, and the solution expanded to a Support Helper bot by February 2026 to cover an additional 86 Product Support team members. The deployment targeted Aderant’s 38 person Cloud Engineering team and global all day operational support workflows for the Expert Sierra legal practice management platform. Amazon Quick Suite was configured to provide unified AI powered search, automated knowledge workflows, and on demand research capabilities under the Generative AI Platforms category. The implementation centered on the CloudOps Helper bot and Support Helper bot, Amazon Quick Flows for automated article creation with duplicate detection and human in the loop approvals, Amazon Quick Research for root cause and usage pattern analysis, and Amazon Quick Spaces to consolidate knowledge bases. The Quick Chrome extension provided daily access across engineers’ workflows and the team integrated Quick Sight dashboards for Amazon CloudWatch alarm analysis and tenant health monitoring. The configuration leveraged out of the box security and connector capabilities to minimize custom UI development. Aderant connected six core knowledge systems using pre built integrations to Confluence, SharePoint, Git repositories, Jira, Microsoft Teams, and Quick Sight dashboards, plus three MCP servers, becoming operational within weeks rather than months. Security management was enforced through Okta SSO and AWS IAM, and Amazon Quick Suite’s CloudOps Helper analyzes only Aderant internal operational and infrastructure data, explicitly excluding client application data and client business information. The unified search engine combined natural language queries with indexed content across integrated systems, enabling synthesis of meeting transcripts, ticket histories, and code and documentation context from a single interface. The architecture avoided bespoke access controls by leveraging Amazon Quick Suite built in connectors and security primitives. Governance enforced human in the loop review gates for all automated knowledge artifacts and duplicate detection to prevent redundant content. Operational workflows were restructured so engineers captured documentation immediately after incidents and Quick Research surfaced recurring query topics to drive knowledge base priorities. Adoption and operational coverage were tracked, with the CloudOps Helper achieving 95 percent active use among the 38 person engineering team and the Support Helper reaching approximately 80 percent adoption during its pilot. The deployment produced explicit operational outcomes reported by Aderant, including 90 percent faster cross platform search, documentation creation time reduced by 75 percent, and client history research time reduced from two to four hours down to two to three minutes. Documentation output increased by 200 percent and the backlog fell from more than 40 articles to fewer than 10, with Amazon Quick Suite maintaining greater than 99 percent uptime during the observed period. The CloudOps Helper bot synthesized complete engagement histories during a domain trust failure incident, enabling faster troubleshooting and coordinated actions across tickets and meetings. Aderant plans further expansion with three new Quick Flows for automated meeting notes, Jira ticket creation, and ticket pre screening to improve ticket completeness before queue entry.
Arcadia Professional Services 422 $62M United States Amazon Web Services (AWS) Amazon Quick Suite Generative AI Platforms 2025 n/a
In 2025, Arcadia implemented Amazon Quick Suite, Apps Category . The deployment leverages Amazon Web Services infrastructure and targets Arcadia’s professional services practice with an initial focus on analytics and client-facing AI capabilities supporting healthcare customers. The implementation configures Amazon Quick Suite to deliver AI-powered analytics, automated workflows, custom AI agents, and secure shared workspaces as core functional capabilities. Architects implemented a governed data layer and access controls to enable responsible generative AI use, and instrumented the suite for collaborative research and client engagement workflows consistent with enterprise analytics and knowledge management patterns. Operational coverage centers on Arcadia’s analytics and client services teams working with healthcare leader accounts, with rollout signaled at AWS re Invent and a stated intent to broaden adoption into 2026 and beyond. Governance emphasis is on data governance and responsible GenAI practices, and the program is positioned to unify analytics, automation, and secure collaboration through Amazon Quick Suite to support client delivery and internal research processes.
Avangrid Utilities 8000 $8.7B United States Amazon Web Services (AWS) Amazon Quick Suite Generative AI Platforms 2025 n/a
In 2025 Avangrid implemented Amazon Quick Suite to introduce governed generative AI capabilities into its enterprise analytics and productivity stack, deploying Amazon Quick Suite across cloud-native AWS infrastructure. Apps Category . The initiative was scoped to support analytics, automated workflows, AI agents, and secure collaborative workspaces aligned to utility operations and corporate analytics functions. The Amazon Quick Suite deployment emphasized AI-powered analytics and automated workflow modules, with configuration focused on role-based access, model governance, prompt management, and workspace provisioning. Avangrid configured custom AI agent templates and analytic notebooks within Amazon Quick Suite to accelerate research and operational decision support while retaining centralized data governance controls. Integrations were organized around governed data sources and enterprise data repositories, enabling access to metered operational data and corporate reporting feeds without compromising security. The implementation used Amazon Quick Suite to surface insights into operational workflows and to create shared workspaces that connect analytics outputs to downstream processes and collaborative teams. Governance and process changes centered on responsible GenAI practices, enforcing data lineage, model oversight, and usage policies inside Amazon Quick Suite workspaces. Rollout sequencing prioritized controlled pilot groups in analytics and operations, expanding governed access and workspace templates as controls and model guardrails were validated. Avangrid positioned Amazon Quick Suite to enable AI-powered analytics, automated workflows, custom agents, and secure shared workspaces consistent with industry guidance that combining governed data with responsible GenAI yields measurable impact. The deployment narrative focuses on architecture, governance, and operational integration rather than quantified outcomes.
Showing 1 to 3 of 3 entries

Buyer Intent: Companies Evaluating Amazon Quick Suite

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Amazon Quick Suite. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Amazon Quick Suite for Generative AI Platforms include:

  1. Proofpoint, a United States based Professional Services organization with 5000 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

Logo Company Industry Employees Revenue Country Evaluated
Proofpoint Professional Services 5000 $2.5B United States 2026-08-06
FAQ - APPS RUN THE WORLD Amazon Quick Suite Coverage

Amazon Quick Suite is a Generative AI Platforms solution from Amazon Web Services (AWS).

Companies worldwide use Amazon Quick Suite, from small firms to large enterprises across 21+ industries.

Organizations such as Avangrid, Aderant and Arcadia are recorded users of Amazon Quick Suite for Generative AI Platforms.

Companies using Amazon Quick Suite are most concentrated in Utilities and Professional Services, with adoption spanning over 21 industries.

Companies using Amazon Quick Suite are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Amazon Quick Suite across Americas, EMEA, and APAC.

Companies using Amazon Quick Suite range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 66.67%, large organizations with 1,001-10,000 employees - 33.33%, and global enterprises with 10,000+ employees - 0%.

Customers of Amazon Quick Suite include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Amazon Quick Suite customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Generative AI Platforms.