Your AI phone agent that handles calls autonomously: incident reports, customer service, FAQs, and appointment scheduling. 93% resolution rate without human intervention. Deployed in 10 days.
Every unanswered call, every wait time, every inconsistent response costs you customers and revenue. Traditional call centers can't scale with your business needs.
€35K+ per human agent annually, plus infrastructure, training, turnover, and management overhead. Costs spiral as call volume grows.
7-minute average wait times during peak hours. Frustrated customers hang up and call competitors. Lost opportunities every hour.
New agents give wrong information. Experienced agents have bad days. Quality varies by shift, mood, and training level.
After-hours calls, lunch breaks, holidays, sick days. Every minute without coverage is lost revenue and competitor advantage.
AI that understands natural language, accesses real-time information, executes actions, and escalates intelligently. Transform your phone lines from cost centers into revenue generators.
No call center disruption, no complex training. PA integrates with your existing phone system and handles calls immediately.
Platform integrates with Amazon Connect, Twilio, or existing phone infrastructure. AI learns your FAQs, processes, and service protocols.
PA learns your specific terminology, service flows, escalation rules, and action workflows. Test scenarios ensure accuracy.
PA goes live handling real calls with oversight. System monitors performance, captures improvement opportunities, adjusts responses.
Complete automation activates. PA handles calls 24/7 independently while continuous learning improves performance over time.
While your competitors miss calls and frustrate customers with wait times, your PA handles every call instantly, accurately, and profitably. Deploy in 10 days and never miss another opportunity.
Every aspect of customer service enhanced with AI. Natural understanding, real-time actions, intelligent escalation, and continuous improvement.
Understands natural speech patterns, accents, and technical terminology. Processes caller intent in real-time even in noisy environments.
Handles conversations in 20+ languages with native-level comprehension. Automatically detects language and switches seamlessly.
Maintains conversation context throughout the call. Handles interruptions, clarifications, and topic changes naturally.
Detects caller emotion and urgency levels. Adapts tone and escalation decisions based on customer sentiment.
Captures complete incident details, creates tickets with proper categorization, assigns to appropriate teams, confirms via SMS/email.
Checks real-time availability, books appointments, sends confirmations, handles rescheduling and cancellations automatically.
Accesses knowledge base instantly to answer product, service, policy, and process questions with accurate, up-to-date information.
Retrieves order status, service progress, delivery information from integrated systems. Provides real-time updates to callers.
Connects with CRM, ERP, ticketing, inventory, and calendar systems. Seamlessly accesses and updates information across your tech stack.
Triggers complex workflows based on call outcomes: create tickets, send notifications, update records, schedule follow-ups.
Escalates to human agents with complete conversation transcript, caller history, attempted resolutions, and recommended actions.
Sends follow-up confirmations via SMS, email, or WhatsApp. Maintains consistent communication across channels.
Monitors call volume, resolution rates, average handling time, escalation patterns, and customer satisfaction in real-time.
Analyzes conversation quality, accuracy of responses, and caller satisfaction. Identifies improvement opportunities automatically.
AI improves from every interaction. Learns new terminology, refines responses, adapts to changing business needs automatically.
Detailed analytics on call patterns, common issues, peak times, cost savings, and ROI tracking. Export capabilities for further analysis.
From industrial maintenance to professional services, PA transforms how companies handle customer calls, incident reports, and service requests.
Your tech stack stays intact. We just make it intelligent. Connect anything—from that Excel file accounting still loves to your latest microservices. Integration in hours, not sprints.
Native connectors for PrestaShop and Shopify. JavaScript SDK for custom storefronts. REST API for Magento, WooCommerce, VTEX. Real-time inventory sync.
Native integration with Salesforce, Klaviyo, HubSpot. AI-powered segmentation and personalization. Automate campaigns using unified customer data. Transparent, no-code activation.
Unify physical stores with online channels. Loyalty programs, POS systems, inventory management. SAP, Oracle, Microsoft Dynamics ready. Omnichannel truth.
Connect your existing data lake: Snowflake, BigQuery, Redshift, Databricks. Add AI layer without migration. Keep your architecture, gain intelligence.
Activate AI predictions in Mailchimp, Brevo, ActiveCampaign. Push segments to Google Ads, Meta. Your channels stay, intelligence multiplies everywhere.
That Excel from accounting? Those CSVs from 2015? JSON exports? We ingest everything. Automated validation, no manual transformation needed.
Full REST API with GraphQL support. Webhooks for real-time events. Rate limits that scale with your needs. Enterprise-grade security.
// API Example
URL: https://api.pleasepoint.com/api/onetoone/recommendation/getRecommendation
PARAMETERS:
{
"account_id":"XXXXXXXXXX",
"ssid":"XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX",
"deploy_slug": "itemitem-v4_deploy",
"model_type": "item-item",
"product_reference_id": "0904219.66",
"user_reference_id": "4000140388",
"num_items": 3 ,
"rule_slug": "pdp-item-recommendations"
}
RESPONSE:
{
"status": "ok",
"data": [
{
"reference_id": 1357816.84,
"name": "Los Compas perdidos en el espacio",
"price": "€ 19.90",
"url": "https://www.url.com/9788427048348/1357816.84.html",
"image_url": "https://www.url.com/dw/image/2b7c8379/images/large/1357816.84.jpg",
"recommendationId": "RID-f5-45d4-99e8-3c7b1ad35de4-CID-49a0f9"
},
{
"reference_id": 1299455.03,
"name": "El corazón del pirata",
"price": "€ 18.90",
"url": "https://www.url.com/9788414023488/1299455.03.html",
"image_url": "https://www.url.com/dw/image/35cfc573/images/large/1299455.03.jpg",
"recommendationId": "RID-f5-45d4-99e8-3c7b1ad35de4-CID-49a0f9"
},
{
"reference_id": 1336752.48,
"name": "Las Ratitas 2. Súper Alma en acción",
"price": "€ 14.95",
"url": "https://www.url.com/9788408227977/1336752.48.html",
"image_url": "https://www.url.com/dw/image/1a6d0de/images/large/1336752.48.jpg",
"recommendationId": "RID-f5-45d4-99e8-3c7b1ad35de4-CID-49a0f9"
}
]
}
Drop-in SDKs for all major languages. One-line integration for JavaScript. Server-side libraries for Python, PHP, Java, Ruby, Go.
// Python SDK - Usage examples with AIstudio:
from pleasepoint_py import AIStudio
studio = AIStudio()
studio.platform.API_NAME.API_NAMESPACE.METHOD(**arguments)
studio.platform.genai.salesAgent.invokeSalesAgent(session_id=ID, user_reference_id=ID, user_prompt=prompt_msg)
Real answers from hundreds of deployments. Clear answers about architecture, implementation, and capabilities. For technical teams and business leaders.
7 days to first production use case. Day 1-2: Connect your data sources (API/sFTP). Day 3-4: Platform auto-builds ETL pipelines adapted to your data model. Day 5-6: Configure and train AI models with one-click. Day 7: Deploy via API/SDK or native connectors. No hidden complexity.
Perfect. Connect it directly via SQL/NoSQL connectors. Pleasepoint acts as your AI layer on top, not a replacement. Keep Snowflake, BigQuery, or whatever you use. We read from it, enrich it with AI predictions, and write back. Your data stays where it is.
Yes. AI Studio provides full Jupyter environment with Python ML libraries and Pleasepoint SDK. Direct access to all platform data. Connect any LLM (GPT-4, Claude, Llama). Deploy custom notebooks on schedule. Your team owns the innovation.
Your data never leaves your infrastructure if self-hosted. Cloud version runs on AWS with SOC2, GDPR compliance. Data encrypted at rest and transit. Role-based access control. Full audit logs. You maintain complete ownership and control.
Auto-scaling on AWS. Handles 10K+ predictions/second. Parallel processing for batch jobs. Real-time APIs with <100ms latency. From startup to enterprise load without architecture changes. Pay only for what you use.
Every model is configurable. Adjust parameters, retrain with your data, combine multiple models. Visual configuration for business users, code access for data scientists. Pre-built doesn't mean locked-in.
Start with a single use case. 7-day implementation, monthly billing. Most clients expand to multiple use cases within 60 days after seeing the ROI. No need for annual contracts upfront. Pay as you grow. Cancel anytime with 30 days notice.
Those are ML platforms. Pleasepoint is a business capability platform. We already built the ETL pipelines, feature engineering, model training, deployment orchestration. You configure use cases, not infrastructure. Months of development already done.
Our platform analyzes your data schema and automatically creates optimized pipelines. It detects data types, relationships, and patterns to build feature engineering specifically for ML models. Updates to your schema trigger automatic pipeline adjustments.
Yes. AI Studio provides full Jupyter environment with direct data access. Train any model using TensorFlow, PyTorch, or scikit-learn. Deploy custom models alongside our pre-built ones. Full Python ecosystem available.
Self-hosted option keeps all data on-premise. Cloud version offers region selection (US, EU, APAC). GDPR and SOC2 compliant. Encryption at rest and in transit. Full audit logs available.
Automatic monitoring of prediction accuracy. Alert system for performance degradation. One-click retraining with fresh data. A/B testing for model updates. Full versioning and rollback capabilities.
Cloud: None, we handle everything. Self-hosted: Kubernetes cluster (min 3 nodes), 32GB RAM per node, 500GB SSD storage. Scales horizontally based on load.
Cloud: Based on predictions/month and data volume. Self-hosted: Annual license by company size. No per-user fees. No hidden costs for additional models or connectors.
Multi-AZ deployment by default. Automatic failover in <30 seconds. Data replication across regions. Backup every 6 hours. Point-in-time recovery available.
Default: 10,000 requests/second. Burstable to 50,000/second. No hard limits on batch processing. Custom limits available for enterprise.
ISV-Accelerate Partner with AI/ML and Retail competencies. The infrastructure you trust, the innovation you need.
While they built custom solutions for months, you can have AI in production this week. No more falling behind. Choose your path: explore the tech or jump straight to a PoC with your real data.