Support that knows your business
AI assistants powered by your data, deployed across every channel your customers use. Accurate answers grounded in real context, not generic chatbot scripts.
One AI brain, every customer touchpoint
Your customers reach out on WhatsApp, email, SMS, and web chat. Your AI assistant gives consistent, accurate answers on all of them.
Web Chat
Embedded widget that matches your brand, with seamless handoff to human agents when needed.
WhatsApp Business
Reach customers on the platform they already use. Full WhatsApp Business API integration with rich media support.
SMS via Twilio
Two-way SMS conversations for customers who prefer text. Automated responses with intelligent escalation.
AI-drafted replies to support emails with citation links, reducing first-response time from hours to seconds.
RAG: retrieval-augmented generation
Your AI assistant does not guess. It retrieves real information from your knowledge base, then generates a grounded response. Here is the pipeline.
Your data, structured for AI
Documents, help articles, product manuals, and CRM records are chunked, embedded, and stored in a vector database. We support PDF, HTML, Notion, Confluence, and custom API sources.
Semantic search, not keyword matching
When a customer asks a question, the system finds the most relevant passages using vector similarity search. This handles misspellings, synonyms, and natural language phrasing that traditional search misses.
Grounded answers with citations
The LLM generates a response using only the retrieved context, with source citations. No hallucinated answers. If the system does not have enough context, it escalates to a human agent rather than guessing.
Actions through MCP
Using Model Context Protocol (MCP), the assistant can check order status, update account details, create tickets, and trigger workflows in your existing systems. It is not just answering questions, it is resolving issues.
Traditional support vs AI-assisted support
Metric
Traditional
AI-Assisted
First response time
4 - 24 hours
Under 3 seconds
Resolution without escalation
30 - 40%
65 - 80%
Availability
Business hours
24/7, every channel
Consistency
Varies by agent
Same quality every time
Cost per interaction
Higher with volume
Decreases with volume
AI that takes action, not just responds
Most chatbots can only answer questions. Using Model Context Protocol (MCP), your AI assistant connects directly to your business systems and takes action on behalf of the customer.
Check order status in your OMS. Update a billing address in your CRM. Create a support ticket in Jira. Cancel a subscription through Stripe. The assistant resolves issues end-to-end, without human intervention for routine requests.
MCP provides a standardised protocol for tool use, meaning new integrations can be added in hours, not weeks. As your systems evolve, your AI assistant evolves with them.
CRM and Helpdesk
Salesforce, HubSpot, Zendesk, Freshdesk
Create tickets, update contacts, log interactions
E-commerce and Orders
Shopify, WooCommerce, custom OMS
Track orders, process returns, check inventory
Billing and Payments
Stripe, GoCardless, Xero
Check invoices, update payment methods, process refunds
Knowledge Base
Notion, Confluence, custom docs
Search articles, surface procedures, cite sources
Internal Tools
Custom APIs, databases, ERPs
Query data, trigger workflows, update records
PingMe: AI that became a trusted team member
Off-the-shelf AI chat tools were too generic for PingMe. Customers got irrelevant answers, and the support team spent more time correcting the bot than it saved. We built a RAG-powered assistant grounded in real business data, connected to internal systems through MCP, and deployed across WhatsApp, SMS, email, and web chat.
The result: faster, more relevant support with reduced costs and improved customer satisfaction. AI that understands context and delivers answers people actually trust.
Give your customers the support they deserve
Let us show you how a RAG-powered AI assistant can reduce response times and support costs while improving accuracy.