Over the past two years, most organizations have experimented with AI tools like ChatGPT. Employees use them to draft emails, summarize documents, or brainstorm ideas. Now a new phase is beginning.
Instead of using AI as a standalone tool, many companies are starting to deploy internal AI assistants that connect directly to company systems and data. These systems can retrieve internal knowledge, generate reports, and help automate routine tasks. Several large organizations are already moving in this direction.
Citigroup Testing AI Agents for Employee Workflows
Citigroup is piloting AI agents that help employees complete research and operational tasks.
Instead of manually searching through internal systems, employees can ask the system to gather information about clients, summarize research, or compile insights from multiple internal sources.
The AI then retrieves relevant data and prepares a draft response or report, significantly reducing the time needed to complete the task. The goal is not to replace employees but to remove the time spent searching through systems and assembling information.
Goldman Sachs Rolling out Internal AI Assistants
Goldman Sachs has launched an internal AI assistant designed to support employees across the firm.
The system helps staff with tasks such as:
- drafting documents
- summarizing research reports
- assisting developers with coding tasks
- analyzing financial information
By giving employees access to an AI assistant that understands internal data and workflows, the bank hopes to make AI a daily productivity tool across the organization.
AI Use Case Evaluation Checklist for Businesses
Microsoft Embedding AI Agents Across its Workplace Tools
Microsoft is also deploying AI assistants internally through its Copilot platform, which is integrated across tools like Outlook, Teams, Word, and Excel.
These assistants can help employees:
- summarize meetings
- draft documents or presentations
- analyze spreadsheets
- retrieve information from internal files and SharePoint libraries
Because these tools are embedded directly into everyday software, employees can access AI assistance without leaving the applications they already use.
Why Companies are Starting Internally
Most organizations are beginning their AI efforts with internal use cases rather than customer-facing applications. There are several reasons for this.
First, internal deployments allow companies to test the technology in a controlled environment while ensuring data security and governance.
Second, many internal workflows involve repetitive tasks that are well suited for AI assistance-such as searching documents, compiling information, or generating reports. These use cases can deliver immediate productivity gains while helping organizations learn how to manage and scale AI responsibly.
The examples from companies like Citi, Goldman Sachs, and Microsoft reflect a broader shift. Over the past few years, most organizations have focused on AI experimentation-testing tools and exploring possibilities. Now the focus is moving toward embedding AI into everyday work.
Instead of opening a chatbot to ask a question, employees will increasingly interact with AI assistants that are already connected to their tools, documents, and business systems. For many organizations, that shift-from experimenting with AI to integrating it into operations-is where the real value begins to emerge.
Sources:https://www.cnbc.com/2025/01/21/goldman-sachs-launches-ai-assistant.html
https://www.ciodive.com/news/citi-agentic-AI-tools-stylus-workspaces/760804
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