Your call center only works 8 hours a day, but your customers need 24/7 attention. Every missed call outside business hours is a lost opportunity. Every customer waiting in queue is evaluating your competition. Every manual phone process is wasted money.
Pleasepoint Phone Agent (PA) is your AI phone agent that works 24/7 handling multiple business use cases: customer service, incident reporting, appointment scheduling, and commercial calls. A complete system of specialized agents that understand, process and execute actions automatically.
This specific demo shows you: How PA handles technical incident reporting in real time, from problem understanding to automatic ticket generation. It's just one of PA's use cases, but demonstrates the core capabilities that apply to all business phone scenarios. Book a personalized demo session now.
This is the table of contents you'll find in the article:
- Pleasepoint Phone Agent use cases
- What is this specific demo?
- Technical capabilities demonstrated
- Demo architecture
- Cross-industry business use cases (Clinics and medical centers, Industrial maintenance companies, B2B professional services, Software-as-a-Service (SaaS), Hotels and hospitality, eCommerce and retail, Automotive and dealerships, Real estate sector, Education and training, Insurance
- Pleasepoint PA differentiation
- How to try the demo
- Next step: real implementation
- Related resources
- It's not time for experiments, it's time for results
Pleasepoint Phone Agent use cases
PA is not a basic phone chatbot. It's a complete phone automation platform that handles the most critical business processes that traditionally require human staff:
24/7 customer service
What it does: Resolves customer inquiries, provides product/service information, manages complaints and requests. Accesses enterprise knowledge base and customer history for personalized responses.
Typical example: Customer calls asking about order status → PA queries management system → Provides detailed shipping information and estimated date → Offers options if there are delays → Records inquiry in history.
Technical incident reporting
What it does: Captures technical problem reports, classifies by type and urgency, creates structured tickets, assigns to appropriate teams. Works 24/7 without information loss.
Typical example: User reports system failure → PA asks specific questions to diagnose → Classifies as "Critical-Hardware" → Creates ticket with complete information → Notifies on-call technical team.
Appointment and booking scheduling
What it does: Queries real-time availability, schedules appointments according to business rules, sends confirmations, manages cancellations and rescheduling automatically.
Typical example: Customer requests medical appointment → PA checks specialist's calendar → Proposes available times → Confirms patient data → Books appointment → Sends SMS/email confirmation.
Commercial calls and prospecting
What it does: Makes commercial follow-up calls, qualifies leads, schedules meetings with salespeople, provides product information based on prospect profile.
Typical example: Calls lead who downloaded ebook → Evaluates interest and budget → Provides personalized information → Schedules meeting with appropriate salesperson → Updates CRM with conversation notes.
Cross-cutting capabilities in all use cases:
- Contextual understanding: Understands intention and adapts conversation according to case
- System access: Queries and updates CRM, calendars, databases in real time
- Personalization: Uses customer history and contextual information
- Intelligent escalation: Transfers to humans when necessary with complete context
- Multichannel integration: Coordinates follow-ups via email, SMS, WhatsApp
What is this specific demo?
This is an interactive Proof of Concept (POC) that demonstrates the real capabilities of our AI phone agent for automatic incident reporting. It's not a simulation or video: it's technology working in real time.
Specific use case: Complete voice incident reporting system that replicates the flow a real user would have when calling your call center to report a technical, operational or service problem.
The demo uses our conversational AI technology with multi-agent orchestration, where different specialized agents collaborate to:
- Understand the problem in natural language
- Extract specific information through intelligent questions
- Classify automatically the type and priority of the incident
- Register all information in structured format
- Confirm to the user with ticket number and next steps
Why it's relevant for your company: Although this demo focuses on incidents, the technical capabilities you'll see (natural understanding, agent orchestration, action execution) are the same that PA uses for customer service, appointment scheduling and commercial calls. If your business handles more than 50 weekly calls of any type, you're losing money every hour these processes aren't automated.
Technical capabilities demonstrated
Multi-agent orchestration
Unlike basic chatbots that work with a single generalist agent, PA uses multi-agent orchestration: multiple specialized agents that collaborate in a coordinated way to solve complex tasks.
How it works in the demo:
- Triage agent: Identifies that it's an incident report
- Extraction agent: Gets specific details through targeted questions
- Classification agent: Categorizes problem type and urgency level
- Registration agent: Structures and stores all information
- Confirmation agent: Provides summary and next steps to user
Advantage vs single agents: Each agent is specialized in a specific task, resulting in higher precision, better handling of complex cases and superior scalability. It's like having a team of specialists working in coordination on each call.
Concrete example: User calls saying "The application doesn't work" → Triage agent identifies technical problem → Extraction agent asks which application, what specific error, when it occurred → Classification agent determines it's "Authentication error, medium priority" → Registration agent creates ticket with complete structure → Confirmation agent reports "Ticket #INC-2024-1156 created, review in 4 business hours".
Agents with knowledge base
Real-time Knowledge Retrieval means agents don't just process what you tell them, but consult specific documentation during conversation to provide accurate and updated responses.
In the specific demo:
- Predefined categories: The agent knows the types of incidents your company handles
- Resolution procedures: Accesses basic troubleshooting steps before registering
- Integrated FAQs: Can resolve common problems without generating ticket
- Escalation protocols: Knows when to refer to specialized human support
Operational advantage: Perfect consistency in responses. While a human agent might forget to ask important details or misclassify an incident, the AI agent follows exact protocols in each interaction. Additionally, the knowledge base is updated without retraining staff.
Practical example: User reports "Network connection error" → Agent consults knowledge base → Identifies there are 3 types of network errors with different procedures → Asks specific questions to classify correctly → If it's a known problem, gives immediate solution; if it's new, registers ticket with complete context for the technician.
Real-time action execution
This is the critical difference: PA doesn't just converse, it executes real actions in your enterprise systems while maintaining conversation with the user.
Specific actions in the demo:
Information search:
- Queries user's previous ticket history
- Verifies similar incidents in the system
- Accesses account and configuration information
Automatic registration:
- Creates ticket with unique automatic ID
- Structures information in specific fields: type, description, urgency, contact data
- Automatically assigns to technical team according to incident type
- Establishes SLA and review date according to priority
Instant confirmation:
- Provides unique ticket number
- Explains next steps and timeframes
- Can send email confirmation (in real implementation)
- Automatically notifies assigned technical team
Enterprise system integration: In real implementations, PA connects with your ticketing systems (Jira, ServiceNow, Zendesk), CRM (Salesforce, HubSpot), calendars to schedule technical visits, and ERP to query customer or product information.
Complete flow example: Call → "My POS system doesn't print tickets" → Agent consults knowledge base about printing problems → Asks specific questions: printer model, error type, when it started → Queries history: customer had similar problem 3 months ago → Registers ticket INC-2024-1157 classified as "Hardware-Printer-High Priority" → Automatically assigns to POS specialist technician → Informs customer: "Ticket registered, technician will contact in 2 hours" → Notifies technician via WhatsApp with problem summary.
Real timeframe: This entire process occurs in less than 2 minutes of call, compared to 8-12 minutes average in traditional call centers that require transfers between departments.
Demo architecture
Simplified technology stack for understanding:
Frontend: Web interface with real-time voice recognition. User speaks directly and sees instant transcription, simulating a real phone call.
Backend: Conversational AI platform with advanced natural language processing capabilities. Models are specifically trained for contextual understanding and enterprise task execution.
Agent layer: Orchestration system that coordinates multiple specialized agents. Each agent has a specific role and knows when to pass control to the next agent in the sequence.
Knowledge base: Vector database containing procedure documentation, FAQs, classification and resolution protocols. Queried in real time to provide contextual responses.
Action connectors: APIs that allow executing actions in external systems: create tickets, query information, send notifications, schedule tasks.
Processing flow:
User speaks → Real-time transcription → Intent analysis → Routing to specialized agent → Knowledge base consultation → Execution of necessary actions → Contextual response to user → Complete interaction recording
Optimized latency: Average response time less than 2 seconds from when user finishes speaking until receiving agent response. In production implementations, optimized to <1 second.
Multilingual support: The demo works in Spanish, but PA is prepared to handle more than 20 languages with the same level of understanding and precision.
Cross-industry business use cases
Clinics and medical centers
Challenge: Phone appointment scheduling consumes administrative staff time, generates calendar errors, and loses opportunities outside office hours.
Solution with PA: PA manages complete scheduling 24/7: queries specialist availability, schedules appointments according to medical rules, confirms patient data, sends automatic reminders, and handles cancellations/rescheduling.
Measurable result: +345% appointments scheduled outside hours, -78% calendar errors, 24/7 availability without additional staff.
Industrial maintenance companies
Challenge: Urgent incidents outside hours aren't registered, status queries saturate technicians, and lack commercial follow-up of opportunities.
Solution with PA: PA handles multiple flows: 24/7 incident reporting with automatic classification, customer service for service status queries, and commercial follow-up of leads for new contracts.
Measurable result: +234% incident capture outside hours, -89% technician phone time, +67% commercial lead conversion.
B2B professional services
Challenge: International clients need multilingual support, meeting scheduling, and problem reporting in different time zones.
Solution with PA: Multilingual PA handles customer service in +20 languages, meeting scheduling with time zone consideration, and incident reporting with automatic translation for local teams.
Measurable result: +890% language/time coverage, global 24/7 availability, -85% multilingual support costs.
Software-as-a-Service (SaaS)
Challenge: Poorly classified tickets delay resolution, commercial demos require manual coordination, and user queries saturate support.
Solution with PA: PA combines precise technical registration of incidents, demo scheduling with lead qualification, and customer service for common query resolution.
Measurable result: +400% technical classification precision, +156% demos scheduled, -60% average resolution time.
Hotels and hospitality
Challenge: 24/7 phone reservations, last-minute cancellation management, service inquiries, and guest complaint handling require continuous staff with high costs.
Solution with PA: PA manages automatic reservations checking real availability, customer service for service and amenity information, incident management (room problems, services), and commercial follow-up for events and groups.
Measurable result: +456% reservations outside hours, -67% missed calls in high season, +89% satisfaction through immediate resolution.
eCommerce and retail
Challenge: Order status queries, returns, website technical problems, and commercial opportunities require personalized but scalable attention.
Solution with PA: PA combines customer service querying orders and managing returns, technical incident reporting of platform issues, appointment scheduling for personalized services, and commercial follow-up of abandoned carts.
Measurable result: +234% query resolution outside hours, -78% poorly classified tickets, +45% abandoned cart recovery.
Automotive and dealerships
Challenge: Workshop appointments, technical queries, repair follow-up, and sales opportunities require specialized knowledge and extended availability.
Solution with PA: PA handles workshop scheduling according to availability and service type, customer service for warranty and repair queries, technical incident reporting, and commercial follow-up for vehicle renewal.
Measurable result: +345% appointments scheduled outside hours, -56% technician phone time, +67% qualified commercial leads.
Real estate sector
Challenge: 24/7 property inquiries, visit scheduling, rental incident management, and commercial lead follow-up require continuous availability.
Solution with PA: PA manages property information with updated data, visit scheduling coordinating calendars, incident reporting in rental properties, and commercial qualification of potential buyers.
Measurable result: +567% inquiries handled outside hours, +78% visits scheduled, -89% administrative time in coordination.
Education and training
Challenge: Enrollments outside hours, academic queries, tutoring scheduling, and student incident management require personalized attention with limited resources.
Solution with PA: PA handles enrollment process verifying course availability, customer service for academic and scholarship queries, tutoring scheduling and teacher meetings, and student incident reporting (campus problems, systems).
Measurable result: +789% enrollments outside administrative hours, +234% tutoring scheduled, -67% administrative load in secretariat.
Insurance
Challenge: 24/7 urgent claim reports, policy queries, advisor appointment scheduling, and commercial follow-up of renewals require expertise and continuous availability.
Solution with PA: PA manages claim reporting with automatic urgency classification, customer service for coverage and policy queries, appointment scheduling with specialized advisors, and commercial follow-up for renewals and new products.
Measurable result: +456% claims reported outside hours, +89% satisfaction through immediate attention, +45% renewal conversion.
Note about the demo: Although the demo focuses on incident reporting, the same technical capabilities (natural understanding, agent orchestration, action execution) apply to appointment scheduling, customer service, and commercial calls in all these sectors. The technology is the same, only the sector-specific workflow configuration changes.
Pleasepoint PA differentiation
vs Traditional call centers:
- 15x reduction in operational costs (€35K/year per human agent vs PA cost)
- 24/7 without hiring night or weekend staff
- Perfect consistency: same protocol in each call, no bad days or mood variations
- Instant scalability: handles call peaks without capacity limits
vs Basic IVRs:
- Natural language understanding vs rigid option menus
- Bidirectional conversation vs unidirectional navigation
- Real action execution vs simple routing to human agents
- Adaptation to unforeseen cases vs limitation to predefined flows
vs Other voice AI agents:
- Multi-agent orchestration vs single agent with specialization limitations
- Deep integration with enterprise ecosystem vs isolated solutions
- 10-day deployment with complete support vs months of development and configuration
- Enterprise knowledge base vs generic responses from public models
Technological validation: Pleasepoint is AWS ISV Accelerate Partner with validated competence in generative AI, guaranteeing that technology meets enterprise standards of security, scalability and efficiency.
Real verifiable results: Our documented success cases include Norauto transforming their CRM with AI, Real Sociedad improving their eCommerce, and Atelier transforming their legal library with conversational AI technology.
How to try the demo
Direct access: Go to https://generative.pleasepoint.com/demo-poc-incidencias
Step 1: Click the microphone button and authorize microphone access when the browser requests it.
Step 2: Try these real incident examples to see different capabilities:
Simple technical incident:
"The mobile app crashes when I try to login"
Observe: How the agent asks specific questions about device, app version, and when the problem started.
Access problem:
"I can't access my account since yesterday, it says the password is incorrect"
Observe: How it differentiates between password problem and possible account lock, and adapts questions.
System error:
"The payment system is returning errors when customers try to buy"
Observe: How it classifies as high priority and requests specific information about affected volume.
Step 3: Observe the complete process of each interaction:
- Natural understanding: Agent understands your description without following a script
- Intelligent questions: Asks only necessary questions to complete information
- Automatic classification: Determines incident type and priority level
- Structured registration: Organizes all information in consistent format
- Complete confirmation: Provides unique ticket number and explains next steps
Important note: This is a simplified demo to show core capabilities. The complete system includes integrations with your specific ticketing system, CRM to query customer information, automatic notifications to technical teams, and intelligent routing according to staff expertise.
Next step: real implementation
What comes after trying the demo?
30-minute personalized session with our technical team to:
- Analyze your specific use case and current incident volume
- Map your current workflows and pain points
- Design integration with your existing systems (ticketing, CRM, ERP)
- Define your specific knowledge base with procedures and documentation
- Establish realistic implementation timeline: 10 days to production
What does complete implementation include?
Phone integration: Connection with your current infrastructure (traditional PBX, VoIP, or cloud) without needing to change providers. Compatible with major market systems.
Specialized agent configuration: Each type of incident you handle will have specifically trained agents: technical, commercial, administrative, urgent, etc.
Personalized training: PA learns your specific terminology, product/service names, internal procedures, and technical jargon of your sector.
Supervised testing: Validation period with real cases where we monitor precision and adjust responses before complete launch.
Production deployment: Activation with continuous monitoring, real-time metrics, and optimization based on real interactions.
Investment and ROI:
Cost context: The annual cost of a human call center agent (salary + social charges + training + infrastructure) is around €35,000. PA can handle the workload equivalent to 10+ human agents without time limitations.
Typical ROI: Our clients recover investment in 3-6 months, mainly through:
- Staff cost reduction (especially night and weekend shifts)
- Capturing lost opportunities outside hours
- Resolution time improvement that impacts satisfaction and retention
- Elimination of registration errors that cause rework
Included in the project: Dedicated implementation manager throughout the process, 24/7 technical support post-launch, continuous capability updates, and detailed performance and impact metrics.
Book your 30-minute personalized session to analyze your specific case and get a detailed implementation roadmap.
Related resources
Pleasepoint PA - Complete solution page
Discover all Pleasepoint Phone Agent capabilities: additional use cases, detailed technical architecture and interactive ROI calculator.
All Pleasepoint AI solutions
Discover our 12 specialized AI solutions for marketing, sales and customer service, from real-time personalization to automatic content generation.
Success case: Norauto
How Norauto completely transformed their CRM strategy using predictive artificial intelligence for personalization and campaign automation.
Success case: Real Sociedad
Implementation of one-to-one personalization in PrestaShop eCommerce that significantly improves fans' shopping experience.
Success case: Atelier Libros
Legal library transformation with intelligent voice search system that allows natural access to specialized legal content.
Request personalized demo
Book a 30-minute session to analyze your specific use case and design a customized implementation for your operational needs.
It's not time for experiments, it's time for results
Let's recap the problem: Every missed call outside hours is a lost opportunity. Every poorly registered incident generates duplicate work. Every customer waiting 8 minutes in a phone queue is evaluating the competition.
This demo has shown you that the technology exists, works and is ready to implement. It's not vaporware or future promises: it's code working in production processing real calls in real companies.
While your competitors keep debating whether to invest in AI, leaders are already capturing all their opportunities 24/7. The difference between a company that loses calls and one that captures them all is measured in revenue, customer satisfaction, and operational efficiency.
Pleasepoint is AWS ISV Accelerate Partner with validated technology and guaranteed 10-day implementation. Risk is minimal, ROI is demonstrable, and impact is immediate.
Your competitors no longer lose calls. When will you stop losing yours?
