Appfeel AI Layer connects your documents, tasks, assets, contracts, people operations, and checklists into one AI-enabled workflow. Teams can ask questions, search, summarize, analyze, report, notify, and move follow-up work forward directly inside each Appfeel solution.
Get answers based on the current screen, including documents, tasks, assets, contracts, and people-related context.
Analyze trends, risks, bottlenecks, open work, and usage patterns to support faster, clearer decisions.
Turn analysis into reports, emails, notifications, follow-up tasks, and checklist actions.
Appfeel AI Layer is a shared AI foundation that works across Metis, Moira, Hermes, Plutus, Fides, Hestia, Themis, and the broader Appfeel solution suite. It helps organizations use business data securely within each solution while respecting user roles and access permissions.
This makes AI more than a feature attached to a single screen. It becomes a consistent enterprise work layer across the Appfeel ecosystem.
Give teams one consistent AI experience across multiple business solutions.
Keep AI responses aligned with each solution’s data structure and permission model.
Extend the same AI foundation to new Appfeel solutions and new areas of work.
Appfeel AI Layer is not just a chatbot. It answers questions inside your work screens, analyzes data already captured in Appfeel solutions, and turns that information into usable reports and next-step actions.
Teams can ask questions in natural language without knowing the exact search terms. AI finds the right information based on the current screen, user permissions, and related work data.
AI interprets your operational data and provides insights that managers and teams can use immediately. Reports, reviews, notifications, and follow-up work can all be connected to execution.
What businesses need is not AI for its own sake, but better speed, accuracy, visibility, and execution. Appfeel helps apply AI capabilities in stages, based on the needs of each solution.
Find the right business information with natural-language questions, even without knowing document names or menu paths.
Summarize documents, comments, contracts, and review results, then draft reports and emails.
Analyze operational metrics, trends, bottlenecks, and risks to identify what needs attention first.
Connect analysis to email reports, notifications, follow-up tasks, and checklist creation.
Appfeel delivers AI Chat and Intelligence based on the type of work data each solution manages. Knowledge, projects, assets, contracts, people operations, and checklist workflows can all become part of one connected AI experience.
Ask natural-language questions across internal policies, manuals, wiki pages, and attachments.
Analyze document usage, duplicates, outdated content, and related knowledge recommendations.
Ask about project status, delay drivers, owner-specific issues, and comment history right from the task screen.
Generate task trends, lead time, cycle time, overdue analysis, and weekly reports.
Chat in the context of the current work screen and surface relevant information immediately.
Summarize conversations and extract decisions, owners, and follow-up tasks.
Query asset status by user, department, or asset number using natural language.
Analyze unreturned assets, duplicate assignments, maintenance history, and replacement candidates.
Ask about contract terms, responsibilities, approval history, and review comments in natural language.
Generate insights on risky clauses, version changes, approval bottlenecks, and review summaries.
Ask about leave, assignments, access, onboarding, and organization information in natural language.
Analyze onboarding progress, people-related change history, and request trends by department.
Ask about checklist standards, incomplete items, evidence, and corrective actions.
Analyze recurring non-compliance, completion rates, risk items, and improvement recommendations.
Enterprise AI should start with reliable business data. Appfeel calculates metrics based on system logic and database records, then uses AI to explain the results and turn them into reports and recommendations.
Connect documents, tasks, assets, contracts, checklists, and HR data based on user permissions.
Calculate completion rates, trends, lead time, delays, asset movement, and contract status at the system level.
Summarize causes, risks, and recommendations based on calculated metrics and work history.
Turn reports into email updates, follow-up tasks, owner notifications, and checklist actions.
Appfeel provides an enterprise AI foundation that can be applied in stages across AI Chat, data analysis, automated reporting, email delivery, and follow-up execution—based on your existing work data and processes.