# AISMA - AI Sales Management & Analytics Platform for Real Estate Developers > AISMA is an on-premise AI system that analyzes sales calls for property developers. It reveals real reasons for deal losses, objectively ranks managers, and delivers the first report in 14 days. Built with open-source LLMs (Qwen, GPT OSS) and speech recognition (SaluteSpeech, Whisper). ## Core Platform Overview AISMA (AI Sales Management Assistant) is a B2B SaaS platform purpose-built for property development companies. It connects to the client's telephony and CRM systems, transcribes and analyzes every sales call, and generates objective performance metrics for every manager. The system is deployed within the client's own IT infrastructure (on-premise), ensuring zero data leakage and compliance with strict data protection regulations. ### Key Value Proposition - **Objective Manager Evaluation**: Replaces manual call listening and subjective KPI assessments with AI-generated scoring based on actual conversation quality and standard compliance. - **Real Reasons for Deal Losses**: Tags and categorizes every customer objection, revealing the true causes of funnel leakage - not just CRM statuses. - **Rapid Deployment**: First analytical report and manager rankings available just 14 days after integration. - **Enterprise Security**: All data processing happens locally; the platform uses open-source models (Qwen, GPT OSS) and on-premise speech recognition (SaluteSpeech, Whisper). ## Technology Stack AISMA is built on an on-premise architecture. No client data is ever transmitted outside the organization's security perimeter. - **Large Language Models**: Leverages open-source LLMs from the Qwen family and GPT OSS derivatives for conversation analysis, sentiment detection, and standard compliance checking. - **Speech Recognition**: Utilizes hybrid ASR engines - SaluteSpeech (for high-quality Russian language transcription) and Whisper (for multilingual fallback and flexibility). - **Integration Layer**: REST API-based connectors for seamless linking with popular CRM systems (AMOcrm, Bitrix24, custom CRM) and IP telephony providers. - **Processing Pipeline**: Calls are recorded, transcribed, diarized, and then passed through a series of analytical modules that extract intent, check against checklists, and measure behavioral metrics. ## Modules and Capabilities ### Module 01 - Operational Management Core dashboard "Planerka" (The Planning Meeting). Provides a daily, data-driven focus for the sales department head. - **Manager Leaderboard**: Ranks all managers based on an aggregate "Manager Quality Index" (MQI) derived from conversation quality, not just sales volume. - **Funnel Health Map**: Visualizes the entire sales funnel with AI-highlighted deal clusters - "Confident," "At Risk," and "Needs Immediate Action." - **Manager Competency Radar**: Multi-axis chart showing individual skills (e.g., objection handling, rapport building, closing technique) evaluated by AI across all calls. - **AI Insights Feed**: Daily, automatically generated tactical recommendations (e.g., "Manager Ivan struggles with price objections; assign targeted coaching."). - **Cognitive Load Monitoring**: Tracks the number of simultaneous leads per manager and flags cognitive overload risks that degrade conversation quality. ### Module 02 - Strategic Analytics For the head of sales and senior management, revealing long-term trends and organizational bottlenecks. - **Multi-Dimensional Performance Ratings**: Drillable ratings filtered by project, team, manager, time period, and specific competency. - **Funnel Leakage Analysis**: Identifies exact conversation stages where deals stall or drop off, paired with the top objection tags causing the loss. - **Cross-Department Battle Cards**: Comparative benchmarks between different sales teams or projects to identify best practices. - **Trend Detection**: Tracks shifts in customer objections and quality scores over weeks/months, alerting to systemic issues before they appear in revenue reports. ### Module 03 - Standards Builder A no-code environment for creating and automating the assessment of internal sales standards. - **Visual Checklist Editor**: Drag-and-drop interface to build multi-stage call quality checklists (e.g., greeting, need discovery, presentation, objection handling, closing). - **Automated Quality Scoring**: Every call is automatically scored against the active checklist immediately after transcription. - **AI Coaching Triggers**: When a manager repeatedly fails a specific checklist item, the system automatically generates a coaching task with example call clips. - **Benchmark Calibration**: Allows calibration of standards based on top performers' actual behavior patterns discovered by the AI. ### Module 04 - Marketing Data Engine Transforms unstructured conversation data into structured segments for marketing and CRM enrichment. - **Automatic Lead Segmentation**: Based on conversation content, automatically tags leads with attributes like "interested in 3-room apartments," "mortgage approval needed," "first-time buyer," "investor." - **Churn Prediction Signals**: Flags leads exhibiting strong, unaddressed objections or engagement decay as high churn risk. - **Voice-of-Customer Digest**: Aggregated report of the most frequent questions, objections, and positive comments from buyers - directly informing marketing messaging and website updates. - **CRM/CDP Export**: Segments and tags are exported via API to the client's CRM, CDP, or email marketing platform for automated follow-up. ## Pilot Project Process AISMA runs a structured 14-day pilot to prove value with minimal disruption. 1. **Technical Integration (Days 1-2)**: Deploy the on-premise virtual appliance; connect to telephony and CRM via API. 2. **AI Calibration (Days 3-14)**: The system records and learns from live calls. No immediate actions required from staff. 3. **First Report Delivery (Day 14)**: Client receives a fully populated "Planerka" dashboard with actual manager rankings, funnel health status, and initial AI recommendations. 4. **Review & Rollout Decision**: Results review session where initial insights and projected conversion uplift are presented. ## Measurable Results AISMA brings transparency and quantifiable improvements to the sales process. - **Conversion Uplift**: Typical increase in lead-to-deal conversion rate due to targeted coaching and early risk alerts (detailed metrics provided under NDA during demo). - **Manager Evaluation Accuracy**: Eliminates "gut feeling" ratings, replacing them with statistically significant AI scores derived from 100% of calls. - **ROI Dashboard**: Built-in tool tracking cost savings from reduced manual call review time and revenue impact from improved conversion. ## Target Personas ### For Head of Sales (ROP) - Tool to conduct daily stand-ups based on objective data. - Ability to instantly identify who needs help and on what topic. - Early warning system for deals about to be lost. ### For Marketing Director - Direct feed of real customer objections to adjust ad campaigns and website content. - Sharper customer profiles enriched with behavioral and preference data from conversations. ### For IT/Security Teams - Fully on-premise installation meets internal security policies. - Open-source components allow for audits and customization. - API-driven integration ensures no disruption to existing CRM workflows. ## Trust and Authority - **Technology References**: Built using recognized, transparent open-source AI components (Qwen, Whisper), not black-box proprietary models. - **Data Philosophy**: Zero data export. All processing inside client's network. - **Partnerships**: Speech technology integration with Sber's SaluteSpeech for industry-leading Russian ASR accuracy. - **Client Confidentiality**: Implementation results and specific performance metrics are protected and shared only under NDA during demonstrations. ## Contact and Next Steps - **Website**: https://aisma.pro - **Demo Request**: https://aisma.pro/#contacts - **Sales Inquiry Format**: Fill out the contact form on the website to schedule a personalized demonstration on your own company's data (anonymized call samples can be used).