Use case type
Uses autonomous or semi-autonomous software agents to carry out multi-step tasks and interact with systems on behalf of users. It addresses complex workflows that require coordination, reasoning, and repeated decision-making.
29
29
10
9 mo
Adoption over time
By case publish month · completed months only
29 cases documented across 28 months (Apr 24 – Jul 26), peaking at 10 in June 2026.
Each column counts every documented case of this type by its publish month, across the full corpus. The in-progress current month is excluded from columns and surfaced separately, and cases published before the charted window are summarized as earlier cases instead of plotted.
Company examples
10 shown from 29 use cases
Visma needed a scalable way to apply generative AI and agent capabilities across more than 160 decentralized business units while maintaining governance and developer autonomy.Using Amazon Bedrock for production generative AI applications and agents at scale, Visma aligned AI work across product development, growth functions, and workforce enablement while keeping regulatory compliance and data security in place.
Blackroll needed to unify disconnected customer data and build an interactive AI coaching experience that updates guidance based on wearable signals.It consolidated e-commerce records and mobile app events into BigQuery, used Cloud SQL to ingest daily wearable data, and deployed a headless architecture on Cloud Run, Firestore, and Cloud Run functions.Using Gemini Enterprise Agent Platform and Agent Development Kit (ADK), Blackroll built autonomous coaching agents and used Agent Search to ground recommendations in verified scientific research and knowledge from its 5,000 physiotherapists.Antigravity was used to automate software development loops for faster implementation.
OtherNew Aim built an AI-native operating layer on Google Cloud to replace siloed spreadsheets and manual SKU/inventory calculations.It centralized transaction and logistics data in Cloud Storage and BigQuery, used BigQuery ML for demand and pricing models, and deployed 24/7 internal agents with Gemini Enterprise Agent Platform and Gemini Flash models.The system lets planners query complex metrics in plain English, keeps human-in-the-loop validation for qualitative adjustments, and runs applications on Cloud Run.
Kimi rolled out multiple agent-based products and built an end-to-end agent infrastructure with Alibaba Cloud to handle high-concurrency requests, fast sandbox startup, state preservation, secure isolation, and low-cost elastic scaling.The architecture combines Alibaba Cloud Container Service for Kubernetes (ACK), ACS Agent Sandbox, Lindorm multi-model database, MicroVM isolation, NetworkPolicy, and Fluid to support production AI agents and model training workloads.
SOCAR Türkiye built a company chatbot, s.e.d.a.+, with Microsoft Copilot Studio and Microsoft Foundry to reduce repetitive manual work across Finance, Legal, Corporate Services, HR, Procurement, and IT.The chatbot and discipline-specific agents are integrated with SAP, internal HR systems, Microsoft Teams, IT service management, and workflow tools to automate internal service requests and approvals.Employees can use natural language in multiple languages to retrieve data, trigger backend actions, and complete end-to-end workflows across channels.
IBM transformed HR support by consolidating 25 chatbots into a single AskHR interface for employees and managers.Using IBM's AI assistant builder and generative AI, AskHR expanded from baseline HR Q&A into transaction execution and multiagent orchestration.The system became the digital front door for HR transactions, supporting always-on self-service and backend execution for requests such as employee transfers and employment verification letters.
OtherAlayaCare develops AI-powered software for home care agencies to help caregivers focus on patient care rather than administration.The company built Layla, an AI assistant on Amazon Bedrock, to give caregivers real-time summaries of patient conditions, risks, and recent colleague notes before visits.AlayaCare also built AlayaFlow, an AI-powered workflow engine that automates scheduling, visit verification, care-plan generation, and last-minute replacement matching and approvals.The solution uses AWS with strict data residency controls so patient data stays within each client environment, and predictive analytics help identify patients at risk of re-hospitalization.
Dojo is a UK-based payments provider that built a cloud-native payments platform on Google Cloud and adopted Gemini Enterprise across the organization to deploy more than 680 AI agents in about two months.The agents support customer operations, sales, marketing, talent acquisition, onboarding, compliance, and chargeback processing, with examples including an operations triage agent, a sales daily brief agent, a document parsing agent, and a chargeback agent.
Quadrivia built its Q clinical AI platform to automate routine patient follow-ups and manage patient journeys end to end, helping clinicians focus on more complex care without adding headcount.The platform uses Gemini Enterprise Agent Platform, Gemini Flash, Google Kubernetes Engine, Cloud Healthcare API, Security Command Center, and Sensitive Data Protection to support low-latency, multimodal clinical conversations and protect patient data.
TK Elevator, a global leader in vertical transportation and urban mobility, maintains about 1.4 million units in more than 100 countries.The company built a real-time database on Azure so technicians can access telemetry, service history, shared knowledge, and customer-specific context before and during service visits.Azure AI-powered agentic modules assemble context in advance, recommend actions in the field, and capture voice-guided post-visit debriefs that update the global knowledge base.
Common questions
