AI Adoption and Department Insights
Understand Where AI Is Being Used.
Track active users, sessions, and AI requests over time.
Review the most active users and departments to understand how AI adoption is distributed across the organization.
Track AI adoption, model consumption, response performance, and user feedback.
Explore operational records and audit activity to understand how AI is performing across your organization.
Wisebric provides visibility into AI adoption, model consumption, operational performance, and governance activity.
Understand Where AI Is Being Used.
Track active users, sessions, and AI requests over time.
Review the most active users and departments to understand how AI adoption is distributed across the organization.
Understand Consumption Across Your Selected AI Models.
Review input and output tokens, model activity, and usage by provider.
Analyze consumption across reporting periods to understand which models are being used and how usage changes over time.
Understand Response Times and Failures.
Review p50 and p95 response latency, failed calls, error categories, and retry-related usage.
Investigate performance patterns by model and provider.
Understand How AI Capabilities Are Used.
Review skill activity, connector call status and latency, and user feedback associated with AI assistants.
Use positive and negative ratings to identify conversations that may require review.
Maintain Visibility Into Important Administrative Events.
Review login activity, role changes, administrative actions, and recorded guardrail events.
Use searchable audit records and export capabilities to support internal reviews.
Different teams need different views of enterprise AI activity. Wisebric provides reporting and operational information across its analytics and administration interfaces.
Understand Adoption Across the Organization.
Review active users, AI requests, sessions, and department-level activity.
Identify which teams are adopting AI and how usage changes over time.
Primary FocusAdoption and Department UsageInvestigate Model Performance and Consumption.
Review model and provider activity, token consumption, response latency, errors, and connector operations.
Use diagnostic information to investigate operational issues.
Primary FocusPerformance and ReliabilityLearn From User Feedback.
Review positive and negative feedback associated with assistants.
Inspect rated questions and comments to identify areas requiring configuration or content review.
Primary FocusFeedback and Assistant UsageReview Administrative and Policy Events.
Inspect audit records, login activity, role changes, and guardrail events.
Use exportable audit records for internal governance reviews.
Primary FocusAudit and GovernanceWisebric provides analytics through two administration environments.
Model usage, token consumption, latency, errors, skill usage, connector activity, feedback, and technical diagnostics.
User adoption, department-level usage, organizational activity, login information, administrative events, and audit records.
Access to individual views depends on deployment configuration, enabled modules, and permissions. Some technical diagnostics may be available only to platform operators or in dedicated deployment environments.
From enterprise conversations to assistants and agent workflows, Wisebric records information that helps teams understand usage and investigate issues.
Understand Conversation Usage and Feedback.
An organization wants to understand how employees are using Enterprise AI Chat.
Review AI requests, token consumption, and user activity.
Use recorded feedback to identify conversations that received negative ratings.
Identify Assistants That Need Attention.
An internal knowledge assistant receives several negative ratings.
Filter feedback by assistant, review the rated questions and comments, and inspect related skill usage.
Use the findings to determine whether assistant instructions, knowledge, or skills need further review.
Investigate Business Process Execution.
A scheduled reporting workflow fails during a connected system operation.
Review the workflow execution record, identify the failed step, and inspect relevant connector activity and error information.
Workflow-specific execution details remain available through Workflow Orchestration.
When AI activity needs attention, Wisebric provides request-level diagnostics, user feedback, and administrative records to help teams understand what happened.
Search operational logs by request details, severity, and module. Inspect recorded status, duration, and error information.
Review positive and negative ratings, filter feedback by assistant, and inspect rated questions or comments.
Review administrative activity and recorded guardrail events. Export audit records to CSV or Excel where the relevant administration interface supports it. Review flagged or blocked guardrail events and their recorded review status.
Open Usage & Spend and review the Errors tab. Identify the affected model, provider, or error category.
Open the Latency tab to understand response-time patterns around the issue.
Open Logs, search for the relevant request or path, and inspect the recorded status and error details.
Check connector activity, assistant feedback, or workflow execution records when relevant to the incident.
Use the findings to investigate model configuration, connected systems, workflow steps, or application behavior.
Wisebric provides audit and guardrail records that help authorized teams investigate administrative changes and policy-related events.
Search and export recorded administrative activity.
Review flagged or blocked interactions and identify false positives.
Inspect login events, role changes, and recorded administrative actions.
Wisebric is planning additional capabilities to help organizations manage AI model usage and operational activity.
These capabilities are on the product roadmap and are not part of the currently available Monitoring & Analytics functionality. Availability and scope are subject to product development and release plans.
Planned controls for defining usage boundaries and monitoring consumption across selected AI models.
Planned notifications for selected consumption or operational conditions.
Monitoring & Analytics works alongside Wisebric's platform capabilities to provide visibility into usage, performance, and operational activity.
Understand model and provider usage through AI Studio analytics, alongside centrally managed model settings and configuration history.
Explore Model Gateway & RoutingReview usage, feedback, and diagnostic information associated with configured AI capabilities.
Explore AI StudioInspect connector activity, request outcomes, and recorded operational information for connected systems.
Explore Enterprise IntegrationsInvestigate workflow execution records, step-level activity, and failures through the workflow execution interface.
Explore Workflow OrchestrationUnderstand adoption, review model consumption, investigate operational activity, and gain visibility into the AI capabilities your organization uses.
From AI adoption to operational visibility, understand the activity behind your enterprise AI.