> ## Documentation Index > Fetch the complete documentation index at: https://docs.germainux.com/llms.txt > Use this file to discover all available pages before exploring further. # Configure AI Services & Prompts (Automated Actions) > GermainUX AI Services can be customized to support your organization’s applications, data, business objectives, privacy policies, and automation requirements. Components [`Agent`](https://docs.germainux.com/main/germainux-agent) [`Engine`](https://docs.germainux.com/main/germain-ux-engine) [`Mobile`](https://docs.germainux.com/main/germain-ux-mobile-app) [`RPA Bot Recorder`](https://docs.germainux.com/main/germain-ux-rpa-bot-recorder) [`RUM JS`](https://docs.germainux.com/main/germain-ux-rum-js) [`RUM Ext`](https://docs.germainux.com/main/germain-ux-rum-extension) [`RUM Windows`](https://docs.germainux.com/main/germainux-rum-windows) Service `Automation` Availability 2014.1 or later > [card] [Configuration Overview](#configuration-overview) > > Models and execution location > [card] [Select an LLM](#select-an-llm) > > Pick the analyzing model > [card] [Choose Online or Local Execution](#choose-online-or-local-execution) > > Where AI processing runs > [card] [Customize an AI Prompt](#customize-an-ai-prompt) > > Tailor prompts to your data ## Overview GermainUX AI Services can be customized to support your organization’s applications, data, business objectives, privacy policies, and automation requirements. AI-driven features are prompt-based. Each prompt can be tailored to a specific use case, data type, KPI, model, and expected output. ## Configuration Overview | Capability | Description | | - | - | | **Prompt-driven analysis** | AI features use configurable prompts to generate summaries, classifications, explanations, and recommendations. | | **Use-case-specific prompts** | Different prompts can be created for sessions, errors, feedback, conversations, workflows, conversion, adoption, productivity, and technology data. | | **KPI selection** | Prompts can use preconfigured or custom GermainUX KPIs as context. | | **LLM selection** | Each prompt can use an available model appropriate for its use case. | | **Online or local models** | Supported features can use externally hosted models or models running within the customer’s environment. | | **Feature controls** | AI can be enabled or disabled globally and, where supported, for individual features. | | **Automation integration** | AI outputs can trigger alerts, actions, approvals, remediation, or other workflows. | Model availability and online or local execution support may vary by AI feature. ![Configure AI Services & Prompts (Automated Actions): Configuration Overview](https://mintcdn.com/germain-ux/ZJflvRMC808oZDAs/images/main/configure-ai-services-prompts-automated-actions/image-20260825-040722.png?fit=max\&auto=format\&n=ZJflvRMC808oZDAs\&q=85\&s=b8aa6a96a7c978b6c47a5c33d781481a) ## Select an LLM Choose the model that will analyze the GermainUX data associated with a prompt. Go to: **GermainUX Workspace -> System -> AI -> Prompts** Then: **1. Select or create a prompt** **2. Open the Model field** **3. Select the LLM** **4. Save the configuration** Consider the model’s analytical quality, speed, context capacity, infrastructure requirements, privacy characteristics, and operating cost. ## Choose Online or Local Execution For supported models and features, AI processing can run: | Mode | Advantages | Considerations | | - | - | - | | **Online** | Access to externally hosted models that may provide stronger performance, larger context windows, or faster processing. | Data-governance approval, external data transfer, availability, and usage costs may apply. | | **Local or offline** | Keeps AI processing within the customer-controlled environment and can better support strict privacy or data-residency requirements. | Requires suitable infrastructure and may have throughput, model-quality, or context-length limitations. | Go to: **GermainUX Workspace -> System -> AI -> Prompts** Select a prompt and configure its available **Online/Offline** setting. Some capabilities—particularly AI Explorer—may require or perform better with supported online models. Before enabling online processing, confirm that the selected configuration complies with your organization’s privacy, security, contractual, and regulatory requirements. ## Customize an AI Prompt Prompts can be tailored to the application, KPI, data type, business process, or analytical objective. Go to: **GermainUX Workspace -> Left Menu → Settings --> System -> AI -> Prompts** ![Configure AI Services & Prompts (Automated Actions): Customize an AI Prompt](https://mintcdn.com/germain-ux/ZJflvRMC808oZDAs/images/main/configure-ai-services-prompts-automated-actions/image-20260825-040837.png?fit=max\&auto=format\&n=ZJflvRMC808oZDAs\&q=85\&s=71a6345b46fd3063bd6fce0156b3c43b) Then: **1. Select an existing prompt or create one** **2. Edit the prompt in the right-side configuration panel** **3. Select the appropriate model** **4. Configure online or local execution, when available** **5. Reference the required GermainUX data and KPIs** **6. Define the expected analysis and output** **7. Save and test the prompt** A prompt can instruct GermainUX to: * Summarize a recorded user session. * Identify UX, workflow, or technology friction. * Analyze errors and their user impact. * Categorize and prioritize feedback. * Evaluate a conversation or chatbot interaction.7 * Identify causes of conversion drop-offs. * Recommend corrective actions. * Produce structured output for downstream automation. For example, a session-analysis prompt can combine User Session Replay, user interactions, errors, performance transactions, business-process steps, feedback, and application metadata to explain what occurred and recommend next steps. ## Connect AI Analysis to Automated Actions AI results can be used with GermainUX [automation capabilities](https://docs.germainux.com/main/automation.md) to create an agentic workflow. Depending on the use case, GermainUX can: **1. Detect a configured condition** **2. Collect the relevant KPI and contextual data** **3. Execute the selected AI prompt** **4. Generate a summary, classification, priority, or recommendation** **5. Trigger an alert, API call, script, ticket, report, remediation, or approval workflow** **6. Monitor subsequent data to determine whether the issue was resolved** Actions can execute automatically or require human approval based on the organization’s policies and the risk associated with the action. ## Additional Resources > [card] [AI](https://docs.germainux.com/main/ai-driven-insights.md) > > Insights & Recommendations > [card] [AI Management](https://docs.germainux.com/main/ai-settings.md) > > Read more > [card] [AI Advice dashboard](https://docs.germainux.com/main/ai-advice-dashboard.md) > > Read more > [card] [AI Explore diagnosis feature](https://docs.germainux.com/main/search-and-filters.md) > > Read more > [card] [Analytics](https://docs.germainux.com/main/analytics.md) > > More Analytics Features > [card] [Automation](https://docs.germainux.com/main/automation.md) > > More Automation Features > [card] [Dashboards](https://docs.germainux.com/main/dashboard-and-report.md) > > Dashboards and reports overview > [card] [Reports](https://docs.germainux.com/main/reporting-automatic.md) > > Automatic and scheduled reports > [card] [Management](https://docs.germainux.com/main/management.md) > > More Management Features ## Get Help > [card] [Contact GermainUX Support](https://docs.germainux.com/main/support.md) > > The GermainUX team helps you get up and running faster, empower your team, turn data into actionable insights, and optimize performance to deliver measurable business outcomes. > [card] Can't find what you need? > > Search all GermainUX docs with **Ctrl + K**, or use the feedback buttons at the bottom of this page to tell us what is missing. 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