Staff assistant solutions help employees find information, draft content, summarize communication, and complete routine tasks. They address internal productivity challenges by reducing time spent on repetitive knowledge work.
Use cases
11
Examples
11
Industries
6
Timeline
8 mo
Data updated 1 day ago
Adoption over time
Documented cases per month
By case publish month · completed months only
11 cases documented across 27 months (May 24 – Jul 26), peaking at 3 in May 2026.
AI Use Cases Hub
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.
2.6Innovativeness2.6/5Differentiated2.6/5 - Differentiated. This is a practical enterprise chatbot and RAG-style knowledge base build, similar to other recent Bedrock knowledge-assist cases; it improves internal retrieval but does not show a novel architecture or agentic design.
Coast Capital Savings, a member-owned Canadian credit union, built a staff-facing generative AI chatbot to help employees find answers buried in a large intranet more quickly.The solution began with lending-team questions and was later expanded to human resources content, with the goal of improving self-service information retrieval across the organization.
2Innovativeness2/5Incremental2/5 - Incremental. A practical cross-department deployment of Amazon Q Business with measurable productivity gains, but it follows a common enterprise knowledge-assistant pattern rather than a novel architecture.
Deriv is an online trading and brokerage company that struggled to make internal knowledge easy to find across Slack, Google Drive, GitHub, internal wiki pages, and other repositories.The scattered information made onboarding training labor-intensive, slowed recruiting questionnaire review, and delayed marketing coordination across distributed teams.
3Innovativeness3/5Differentiated3/5 - Differentiated. The implementation combines Bedrock, RAG, semantic search over 500,000+ records, and secure VPC deployment to solve an internal knowledge retrieval problem, which is a differentiated applied use of generative AI but not a novel architecture.
Orion Health is a New Zealand-based healthcare software company that supports public health systems globally and needed to improve access to internal knowledge spread across six silos.Employees had to search multiple sources for technical documentation, past support cases, and other records, which slowed case resolution and hurt SLA performance.The company built Oribot, an internal generative AI chatbot, to help staff retrieve accurate answers from more than 500,000 internal records quickly and securely.
3Innovativeness3/5Differentiated3/5 - Differentiated. The article shows a practical generative AI assistant built on Amazon Bedrock and Claude 3 for technician troubleshooting, but it is a targeted workflow improvement rather than a novel architecture.
KONE, a global leader in elevator and escalator solutions, uses AWS generative AI to speed up elevator and escalator maintenance.The company built a Technician Assistant to help field technicians resolve equipment issues more efficiently and improve service delivery.
1.8Innovativeness1.8/5Incremental1.8/5 - Incremental. This is a fairly standard enterprise assistant deployment centered on Amazon Q Business and no-code workflows, similar to other recent packaged assistant cases rather than a novel custom architecture.
Kepler Group, a global digital marketing agency, implemented Amazon Q Business inside its Kepler Intelligence Platform to give employees secure AI access for internal workflows and client work.The solution connects to Amazon S3-centric data sources, supports chat history and file upload capabilities, and is secured with AWS Identity and Access Management and single sign-on.
3Innovativeness3/5Differentiated3/5 - Differentiated. AskT is an internal secure AI concierge that centralizes company knowledge and reduces search time dramatically, but the evidence does not show unusual architecture beyond secure knowledge access and summarization.
Deutsche Telekom confronted significant challenges regarding employee access to critical knowledge across customer care, finance, HR, and legal departments. Legacy internal search systems were slow, scattered, and difficult to use, resulting in customer care agents putting callers on hold and internal teams spending extra minutes searching for policy or documentation information. To solve this, Deutsche Telekom partnered with Glean to develop 'AskT', an AI-powered employee concierge. AskT centralizes and secures company knowledge, enabling employees to instantly retrieve essential information without the risks associated with consumer AI tools. Customer care agents can now deliver faster, real-time support while HR and other business units benefit from simplified access to relevant content. AskT integrates more data sources monthly, growing smarter over time, and enforces strict access controls to maintain security and compliance. The platform has had a significant impact, reducing average search time from over two minutes to just 18 seconds, and enabling AI to summarize large sets of documents in seconds, driving efficiency and productivity across the business.
2Innovativeness2/5Incremental2/5 - Incremental. An internal information-access chatbot built on Azure AI/LLMs reduces manual search time, but the evidence does not show advanced architecture such as RAG, multi-system orchestration, or specialized operating model.
UNIQA Insurance Group, in collaboration with Zühlke, faced the challenge of ensuring employees had rapid access to vital business information to improve internal efficiency and support better decision-making.Zühlke developed an AI-powered chatbot leveraging Azure AI technologies and large language models, which enables employees to quickly retrieve crucial company data.The new AI chatbot reduced manual search time and improved internal communication across UNIQA.This case has been recognized with the Microsoft Visionary Award, highlighting leadership in practical insurance workflow automation.Zühlke is renowned for tackling complex challenges with a focus on innovation specifically tailored to client needs and diverse industry requirements.The joint initiative showcases how AI can transform information management in insurance, while also maintaining data security and compliance standards.The solution is a tangible example of applying advanced technology for measurable business improvement.The partnership between UNIQA and Zühlke emphasizes multidisciplinary collaboration and rigorous quality management.
3Innovativeness3/5Differentiated3/5 - Differentiated. The case builds GenAI conversational assistants for HR policy access and cooler productivity monitoring, embedding natural-language querying across business data sources.
Coca-Cola Beverages Vietnam partnered with Happiest Minds to deploy generative AI solutions leveraging Azure OpenAI Service, targeting transformation within HR and Sales operations.Before the project, HR policy information was dispersed across documents and business functions, hampering productivity and decision-making.Sales reps and asset managers faced complex, multi-system workflows to monitor cooler productivity and performance.Through a consultative discovery phase, Happiest Minds engaged with Coca-Cola's strategic team to understand detailed requirements.A conversational GenAI interface was developed, enabling employees and managers to intuitively access and interact with information using natural language.Two primary business needs were addressed: an HR assistant for policy/data exploration and a Cooler Productivity Monitoring System for national asset management.All interfaces leveraged Microsoft Azure OpenAI Service integrated with open-source components, simplifying access and streamlining critical workflows.The deployment led to improved operational efficiency through automation, reduced manual workload, greater employee satisfaction, and decision empowerment for staff.The project demonstrates rapid time-to-value, with implementation completed within weeks and strong collaboration between technical and business teams.Happiest Minds, a Microsoft AI Partner Council member, played a key role in tailored cloud-based AI solutions, ensuring alignment to Coca-Cola Beverages Vietnam's specific needs.This initiative forms part of a broader digital transformation and showcases tangible benefits from GenAI in manufacturing and beverage sectors.
4Innovativeness4/5Advanced4/5 - Advanced. BNP Paribas describes an enterprise AI transformation operating model (delivery tribes and an AI Factory) scaling internal and customer-facing generative AI (Gary and Genius Bar) with security controls and structured adoption/training.
BNP Paribas, one of Europe's largest banks, has systematically advanced its use of AI, structuring its program around dedicated delivery tribes, an AI Factory, and a center of expertise to maximize business value. Initially focused on machine learning for scoring models and document processing, the bank is now rolling out generative AI solutions, notably Microsoft Copilot, for greater productivity in both internal and customer-facing operations. The 'Gary' system assists employees with procedural knowledge and is adopted by 90% of the workforce, though scaling remains challenged by inconsistent data sources. The 'Genius Bar' MVP aims to revamp customer service, replacing legacy chatbots with generative AI and targeting over a million interactions within two years. Copilot trials faced mixed adoption, leading to targeted training initiatives. The bank measures AI's success across employee engagement, efficiency, and customer satisfaction—showcasing a real-world, iterative approach to AI transformation in finance.
2Innovativeness2/5Incremental2/5 - Incremental. Telstra’s Ask Telstra provides real-time agent-assist summarization of customer history and product information to reduce follow-ups, which is a straightforward use of generative summarization for call support.
Telstra, one of Australia's leading telecom providers, implemented the Ask Telstra solution powered by Microsoft Azure OpenAI services. The solution helps customer service agents quickly retrieve, process, and summarize customer data and recent history in real-time, improving both the speed and quality of customer interactions. By integrating generative AI summaries and product knowledge, Telstra's agents have immediate access to actionable insights during calls, reducing onboarding time for new agents and boosting their effectiveness. This rollout is part of a broader industry trend where real-world companies leverage advanced AI platforms for measurable business benefits. In other examples, Motel Rocks used AI to deflect tickets and improve satisfaction, and ClickUp improved support efficiency via generative copilots, but only Telstra’s deployment utilizes Microsoft Azure OpenAI in a production capacity with measurable outcomes described. The article includes concrete KPIs such as reduction in call follow-ups and increased agent effectiveness, demonstrating the value and depth of this AI-driven transformation.
How many staff assistant use cases are documented?
The AI Use Case Hub documents 11 real staff assistant deployments across 6 industries, with 11 detailed company examples you can browse.
Which industries adopt staff assistant the most?
Staff assistant is most common in Tech & Comms (27%), Finance (27%) and Manufacturing (18%).
Which countries lead in staff assistant?
United States leads documented staff assistant deployments, followed by Germany and France.
What technologies are used for staff assistant?
Teams most often build staff assistant with Amazon Bedrock, Azure AI and Azure OpenAI.
What AI capabilities power staff assistant?
Across the documented deployments, the most common capability patterns are RAG (36%), Agent (9%) and Multi-agent (9%).
What results do companies report from staff assistant?
Across the 11 deployments reporting outcomes, companies most often cite speed & agility (73%), new product / capability (64%) and customer experience & trust (55%). Where impact is quantified, the strongest evidence is in time & speed: a median −47.5% across 2 reported metrics.