Templates

Analyzes support conversations and generates concise summaries, saving time for escalations and reporting.

Surfaces key behavioral patterns, satisfaction trends, and churn signals from past interactions and CRM data.

Identifies recurring questions and outdated responses, suggests updates to help content and auto-responses.

Before a client meeting, it prepares an overview of key information (e.g., communication history, recent CRM activities) and suggests possible discussion topics and questions.

Creates personalized learning paths for employees based on skills, performance, and interests. Recommends resources and tracks progress.

Helps salespeople create business proposals by generating draft documents based on input, previous templates, product information, and client requirements.

The Sales Reporting Assistant processes meeting notes and automatically extracts key points, such as objections, client interest, or next agreed steps. Based on this information, it generates overviews of ongoing deals and helps the sales team better evaluate the progress of negotiations.

Analyzes customer behavior patterns across channels. Suggests how to target audiences in campaigns and segment customers based on their interests.

The assistant within the company Wiki not only answers practical questions about company operations and processes, but also points out missing or outdated parts of the documentation and suggests opportunities to improve its structure.

Prepares draft blog articles, newsletters, and social media posts based on your company data and chosen communication tone. It saves time on content creation and ensures consistency across channels.

Analyzes internal surveys (e.g., employee satisfaction, engagement surveys) and summarizes key insights and action recommendations for leadership.

Generates clear marketing reports and explains data in simple terms, turning complex insights into actionable decisions instantly.

Prepares talking points, competitor insights, and custom presentation materials for upcoming trade shows.

Assists new employees during onboarding - explains processes, provides documents, answers questions (benefits, leave, attendance). Allows HR to save dozens of hours of repeated explanations.

Handles repetitive customer inquiries using smart templates and live order data — reducing response time and support workload.

Analyzes campaign data, flags underperforming ads, and recommends budget and keyword adjustments to improve ROAS.

Simplified access to company contracts — quick search, summaries, key point checks (e.g., termination periods, NDAs, automatic renewals), and SLA setup.

Monitors Google Analytics and Search Console for traffic spikes, keyword shifts, and performance changes — and sends weekly insights with actionable suggestions.

Tracks product-level sales, stock, and conversion trends to recommend promotional changes, content updates, or stock adjustments.

Tracks changes between contract versions, summarizes key edits, and ensures all parties are working with the latest document version.

Monitors deadlines, identifies areas of inefficiency, and suggests better task distribution among team members.

Monitors deadlines, identifies inefficiencies, and suggests better task distribution among team members.

Checks for SSL certificate, analyzes SEO status, reviews sitemap.xml, and suggests improvements for better search visibility.

Analyzes DevOps data, Clockify data and other data about your dev team and makes report about Developer performance. .

The assistant analyzes occupancy, local events and competition and suggests price adjustments.

Handles guest questions, manages check-ins, and automates the process. Acts as a smart virtual concierge to enhance guest experience and save staff time.

Creates personalized proposals and drafts email replies, streamlining communication and helping teams respond faster and more consistently.

Generates clear reports by connecting to PMS and analytics tools, highlights key metrics, and helps management make informed decisions.

Monitors upcoming deadlines (e.g., inspections, maintenance, legal checks) and automatically alerts relevant teams to ensure nothing is missed.

Screens incoming CVs and ranks candidates based on job fit, keywords, and experience.

Analyzes internal documents to detect missing or duplicate content, evaluates quality, and suggests improvements to strengthen internal knowledge.

Answers employee questions about internal policies using connected documents and systems.

Helps hiring managers prepare for interviews by generating custom questions and notes.

Searches for and summarizes relevant laws, regulations, and case law based on the document context. Speeds up legal research.

Reviews legal and internal documents for regulatory compliance and highlights missing or risky elements.

Helps decide how much budget to allocate to each marketing channel (social media, Google, etc.) to maximize impact. Learns from past results and suggests smarter budget distribution.

Prepares for client meetings by analyzing data from the internet and internal CRM. After the meeting, generates notes, action items, follow-up tasks, and updates CRM via voice chat.

Scans internal tools for duplicate requests or missing documentation and routes team members to the correct source or person. Saves time by reducing confusion.

Tracks completed tasks, phase durations, and sprint progress. Provides weekly reports on development speed, blockers, and delivery risks to support retrospectives and planning.

Captures key points from client sprint review meetings, summarizes discussions, extracts action items, and updates backlog items based on the meeting context.

Scans repositories and environments for vulnerabilities and compliance issues. Notifies teams of risks and provides clear, developer-friendly remediation suggestions.

Analyzes cloud infrastructure usage and spending, identifies inefficiencies, and suggests concrete steps to reduce costs without compromising performance.

Drafts fast, context-aware replies based on internal knowledge, chat history, and customer intent.

Automates the creation of regulatory filings and internal reports using structured financial data.

Scans for unusual transaction patterns and flags suspicious behavior based on machine learning models.

Evaluates exposure across portfolios, leveraging historical and real-time financial data.

Analyzes customer behavior, segments clients, and supports personalized financial communication.

Estimates property value using up-to-date market trends and location analytics.

Generates engaging, feature-rich property descriptions tailored to attract buyers.

Monitors client behavior and preferences to help personalize outreach and offers.

Predicts property demand and price shifts using historical and real-time data.

Detects irregularities in machine data and suggests proactive maintenance.

Helps optimize workflows and balance workloads across teams.

Evaluates efficiency and recommends improvements in real time.

Analyzes supply chain data, predicts delays or shortages, and helps adjust procurement strategies.

Reads and explains unfamiliar code for faster onboarding and debugging.

Auto-generates API and internal docs from code or user flows.Helps plan and prioritize tasks based on team performance data.

Helps plan and prioritize tasks based on team performance data.

Analyzes cloud usage and CI/CD pipelines to reduce unnecessary spend.

It records meeting notes, extracts specific tasks from them, and automatically saves them to team tools like Jira or Notion.

Collects, organizes, and summarizes product feedback from various sources (e.g., surveys, support tickets, social media). Highlights common issues and suggests improvement areas.

Collects and summarizes ESG (Environmental, Social, Governance) data, prepares sustainability reports, and tracks compliance with standards.

Creates structured post-incident reports by summarizing logs, user reports, and engineering notes. Suggests preventative measures and improvements.

Regularly generates overviews from project management tools (e.g., weekly) and highlights key metrics, blockers, and overall project progress.

Analyzes project updates across teams, identifies dependencies, and highlights misalignments or blockers between departments.