Brief Description:
Virtual curator for insurance agents
Context
Designed for insurance sales — helps agents quickly master product information and confidently communicate with clients. Replaces live supervisors and curators previously assisting tens of thousands of agents.
What the Agent Does

• Provides real-time relevant prompts about the selected insurance product
• Suggests optimal response phrasing and next steps
• Gives instant access to key terms and product comparisons
• Generates personalized sales scripts tailored to each client

Key AI Capabilities

• Real-time hints and recommendations during client conversations
• Context memory for up to 20 recent messages for personalized answers
• Separate knowledge bases for each product (operating independently)
• Voice support: accepts voice input and replies with both text and speech
• Script adaptation to audience type (students, retirees, customer hobbies)

Problem Solved
New agents struggle to absorb product information, resulting in long onboarding periods (up to 6 months) and lower client engagement. Scaling through human supervisors requires significant resources.
Business Impact

• +15–20% increase in sales conversion
• Training time reduced from 6 months to 2 weeks
• Cost savings: up to 500 curators × $15–20K/year = ~$10M vs. $70–80K to build the AI agent (8–10× efficiency gain)
• Faster ramp-up for new employees

Usage

• Works through standard communication channels (e.g., Telegram), offering contextual history and instant access to product knowledge. Supports both text and voice interaction.

Brief Description:
Virtual assistant for creating and optimizing sales dialogues — helps insurance teams design persuasive scripts, handle objections, and standardize client communication for faster onboarding and higher conversion.
Context
Created to support insurance agents and training methodologists: helps structure dialogues, prepare arguments, and design sales scenarios. Used for building conversation modules, training agents, and analyzing typical client objections.
What the Agent Does
AI Agent ScriptMaster helps design dialogue logic, selects ready-made phrases and arguments for product presentations, and assists in handling objections or unusual situations. It creates personalized tips, training materials, and ready-to-use scripts that can be integrated into CRM systems, call centers, and training programs.
Key AI Capabilities

• Script and prompt generation for consultations and sales
• Selection of benefits and arguments for specific products and client types
• Automatic objection handling and generation of dialogue-based responses
• Context memory for up to 20 messages for personalized recommendations
• Separate knowledge bases for each product
• 🎤 Voice support: can provide responses via both text and speech

Problem Solved
Agents and trainers spend significant time preparing sales scripts and training materials. Knowledge is fragmented, and there is no unified structure for dialogues and arguments — reducing sales effectiveness and slowing new agent onboarding.
Business Impact

• Reduced time to develop scripts and training materials
• Improved quality of consultations and agent confidence
• +15–20% sales conversion growth through structured dialogues and precise arguments

Usage

• Works via standard channels (chat or voice), enabling creation, editing, and adaptation of dialogues for different products. Ideal for insurance companies, call centers, and training departments.

Brief Description:
An intelligent AI assistant that helps product teams accelerate launches, analyze competitors and users, and make data-driven product decisions faster.
Context
Built for product teams overloaded with research, segmentation, and backlog planning tasks. The AI Product Manager Assistant automates market analysis, feature prioritization, and progress reporting — allowing teams to focus on strategy instead of manual data work.
What the Agent Does

• Analyzes competitors and builds comparison tables by features and pricing.
• Segments users based on CRM, feedback, and behavioral data.
• Drafts product requirements and feature descriptions from user insights.
• Suggests hypotheses, backlog priorities, and product roadmaps.
• Generates reports and summaries on product performance.

Key AI Capabilities

• Automated market and user data analysis.
• Competitive benchmarking and insights generation.
• Feature prioritization by ROI, effort, and business impact.
• Context memory of product discussions and versions.
• Integrations with Jira, Notion, Miro, Slack, BI dashboards.
• Data visualization (dashboards, charts, summaries).

Problem Solved
Product teams spend days or weeks on competitor research, user segmentation, and reporting. This slows down product iterations and increases the risk of poor decisions.
Business Impact

• 30–50% faster product launches.
• Market and competitor analysis reduced from days to minutes.
• More accurate and confident product decisions.
• Lower research and analysis costs.

Usage
Works in corporate environments (Teams, Slack, Telegram, or web app).
Integrates with Jira, Confluence, CRM, and BI systems. Ideal for tech, banking, insurance, and e-commerce product teams.

Brief Description:
AI-powered first-line support bot that automates customer request handling, collects key data, and routes inquiries to the right teams — ensuring instant response and reduced operator workload.
AI Agent SupportFirst
Intelligent First-Line Support Bot
Context
Developed to automate the first line of customer support. It helps companies handle requests faster, reduce operator workload, and ensure accurate data collection at the initial contact stage. Used in insurance, service, banking, and technology sectors.
What the Agent Does
AI Agent SupportFirst receives incoming customer requests, clarifies key details, collects contact information, and creates a support ticket for transfer to the relevant team. Operates 24/7 and provides immediate responses without waiting for a live operator.
Key AI Capabilities

• Collects client data: name, phone number, topic, and brief issue description.
• Automatically classifies requests and routes them to the right specialist.
• Creates support tickets in CRM, Service Desk, or similar systems.
• Ensures compliance and protection of personal data under regulatory requirements.
• Sends instant confirmations — customers immediately receive notice of ticket registration.

Problem Solved
A large volume of repetitive requests and manual ticket registration overload operators, increase response times, and create a risk of lost or delayed customer inquiries.
Business Impact

• Reduces initial response time to zero minutes.
• Decreases operator workload by 30–40%.
• Improves customer experience through faster, more transparent request handling.

Usage
Works in chat interfaces, messengers, websites, or mobile apps.
Integrates with corporate systems (CRM, Service Desk, Helpdesk).
Ideal for companies where rapid request registration and consistent customer engagement at the first contact point are critical.

Brief Description:
An intelligent assistant for business analysts and executives that delivers instant data insights, reports, and visualizations — enabling faster, more confident decision-making.
Context
Designed for organizations where report preparation takes days, delaying critical decisions. Executives and analysts waste time searching for data, building charts, and aligning figures. AI Agent Business Analyst automates these tasks, providing accurate insights in convenient formats — tables, dashboards, charts, and summaries.
What the Agent Does

• Responds to analytical questions in natural language (e.g., “Show sales trends by region for the last 6 months”).
• Generates visualizations — charts, graphs, tables, and summaries.
• Produces automated KPI and metric reports, integrating with BI tools (Power BI, Tableau, Metabase, Excel, etc.).
• Ensures data consistency and a single “source of truth” for decision-makers.
• Operates as a chat interface (Teams, Telegram, Slack) or as a web dashboard.

Key AI Capabilities

• Natural-language query understanding and conversion into SQL/BI queries.
• Real-time generation of interactive charts and analytics.
• Context memory for multi-step analysis.
• Integration with corporate data sources (CRM, ERP, Data Warehouse).
• Trend detection, forecasting, and automatic insight generation.

Problem Solved
In most companies, executives wait 2–3 days for reports, slowing down decisions and reducing agility. Analysts are overloaded with repetitive requests and manual report building.
Business Impact

• Report preparation time reduced from days to seconds.
• 5–10× faster decision-making.
• 30–40% reduction in analyst workload.
• Improved accuracy and consistency in management decisions.

Usage
Available in corporate messengers, BI dashboards, and web interfaces. Integrates seamlessly with existing analytics environments and data systems. Customizable for industry-specific analytics (banking, insurance, manufacturing, etc.).

Intelligent Agent for Market & Competitor Analytics
Brief Description:
An AI agent that automates the collection, normalization, and analysis of market and competitor data, turning fragmented information into actionable insights for strategy, marketing, and product teams.
ContextIn fast-moving industries, companies are flooded with unstructured data — reports, competitor websites, news, and open databases — all requiring manual analysis.
AI Competitive Intelligence Scout automates this process, continuously gathering and organizing market data to uncover trends, risks, and opportunities.
What the Agent Does

• Monitors competitors, products, prices, and updates automatically.
• Scans industry sources, press releases, and open data sets.
• Creates comparison tables, benchmarks, and analytical reports.
• Detects emerging trends and market signals.
• Generates recommendations for positioning and business strategy.

Key AI Capabilities

• Market data normalization and categorization.
• Automated insight generation and report summaries.
• Data visualization (dashboards, trend maps, competitor grids).
• Configurable update frequency and alerts.
• Integration with CRM, BI, and corporate data platforms.
• Multi-language text analysis and key-meaning extraction.

Problem Solved
Product and research teams spend weeks collecting and reconciling fragmented data, resulting in delayed and incomplete insights.
Business Impact

• 5–10× faster market research and analytics.
• New insights and growth opportunities.
• Reporting and analysis time reduced from weeks to hours.
• More accurate forecasting and strategic decisions.

Usage
Accessible via web or chat (Teams, Slack, Telegram).
Integrates with BI, CRM, and corporate knowledge systems.
Ideal for strategic, marketing, and product analytics teams.