Chat with your Hi Platform data

AI to analyze Hi Platform data with Claude and ChatGPT

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No credit card required | 14 days | 10 million records | 30 pipelines

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Hi Platform
You
How many tickets are open in Hi Platform right now?
Hi Platform
You currently have 47 open tickets awaiting resolution across all accounts.
Via Kondado MCP
You
What is the average resolution time this month?
Tickets
The average resolution time is 4.2 hours, which is 15% faster than last month.
Via Kondado MCP
You
Which ticket status has the highest volume today?
Support Queue
The 32 pending tickets in "waiting for customer" status represent the largest queue.
Via Kondado MCP
You
How does this week's ticket volume compare to last week?
Hi Platform
This week shows +23% more tickets created compared to the same period last week.
Via Kondado MCP
Works in Claude, ChatGPT and any MCP client

AI to analyze Hi Platform data with Claude and ChatGPT

Chat with Claude, ChatGPT, or any MCP client to explore your Hi Platform customer relationship data through natural language. Ask about ticket resolution patterns, compare open versus closed ticket volumes across specific date ranges, or analyze average response time trends without writing a single line of SQL. The AI reads your replicated support data and answers instantly, turning complex ticket databases into simple, insightful conversations that help you understand customer service performance.

Kondado replicates Hi Platform data to a structured destination, exposing 1 pipeline with 220 fields via an MCP server compatible with Claude, ChatGPT, and other MCP clients. This same data also powers ready reports in Power BI and Looker Studio for teams who prefer visual dashboards.

Customer support managers use this daily to identify bottlenecks by asking about tickets stuck in specific statuses for too long. Operations teams monitor resolution efficiency by querying average handle times across weeks or months to spot trends. Marketing analysts correlate support interaction spikes with campaign launch dates by exploring ticket creation timestamps. Finance controllers track support costs by analyzing ticket volume against team capacity. Every role gets precise answers by simply typing questions in chat, eliminating manual spreadsheet exports and technical report building entirely.

I prefer ready dashboards

Dashboard templates in Power BI and Looker Studio, connected to your Hi Platform data by Kondado in minutes.

View Hi Platform dashboards →

I want to ask the AI

Claude, ChatGPT and other MCP clients query your Hi Platform data in natural language.

View MCP setup →

The Tickets pipeline listed below contains 220 fields capturing every detail from creation timestamps and resolution status to account interactions, priority levels, and custom tags. Query this rich dataset in chat to uncover resolution bottlenecks for specific issue types, track daily backlog trends across support queues, or calculate average time-to-close across different ticket priorities and agent assignments. Since Hi Platform offers this single comprehensive pipeline with deep interaction history, you can perform detailed operational analysis on support workflows without needing to join multiple sources. Support leaders investigate seasonal volume patterns or compare first-response times between teams simply by asking questions naturally. The data replicates on a configurable schedule, ensuring your chat queries always reflect current ticket volumes and the most recent customer interactions for accurate daily decision-making.

How to connect Hi Platform to Claude, ChatGPT and other AI clients

MCP is an open standard. Add the Kondado server to the connections of Claude (Web or Desktop), ChatGPT, or any other MCP client you use, and authorize via OAuth at app.kondado.com.br. Setup through the UI, no code.

Kondado MCP server: https://mcp.kondado.io/mcp
Detailed guide: Claude Detailed guide: ChatGPT
AI vocabulary

Hi Platform tables and metrics available via Kondado

Each item below is something Claude, ChatGPT or another MCP client already knows how to query — no schema setup, no manual mapping.

1
Table
220
Fields
∞
Ad-hoc questions
Tickets
Table contains information about tickets, including fields such as id, account_id, and status, as well as interactions and timestamps like created_at and resolved_at.
Full docs on the wiki → Connect Hi Platform now →

How to connect and use AI with your data

In 3 steps: connect on Kondado, pick dashboard or chat, analyze.

1
Connect Hi Platform at app.kondado.com.br

Connect Hi Platform on Kondado at app.kondado.com.br and select a 'Via Kondado destination' so your Tickets data lands ready for AI access and the available dashboard templates.

2
Add Kondado MCP in Claude or ChatGPT

In Claude (Web or Desktop) or in ChatGPT, add the Kondado MCP server in the connection settings and authorize once via OAuth. The setup process is identical in both clients with no CLI commands or code required.

3
Ask questions or open dashboards

Ask in chat using natural language about your Hi Platform ticket data, resolution times, or status distributions. For visual recurring monitoring, open a ready Power BI or Looker Studio dashboard template powered by the same replicated data.

Other connectors with AI via MCP

Same Kondado data, in chat through Claude, ChatGPT and other MCP clients.

CRM and Sales

ActiveCampaign ActiveCampaign
Bitrix24 CRM Bitrix24 CRM
Exact Sales Exact Sales
Hubspot Hubspot
Infusionsoft (Keap) Infusionsoft (Keap)
Meetime Meetime
NectarCRM NectarCRM
Pipedrive Pipedrive
PipeRun PipeRun
Ploomes Ploomes
RDStation CRM RDStation CRM
Salesforce Salesforce

Marketing and Automation

Google Ads Google Ads
E-goi E-goi
Google Search Console Google Search Console
Huggy Huggy
Linkedin Linkedin
MailChimp MailChimp
Mandrill Mandrill
Mautic Mautic
Pushwoosh Pushwoosh
RDStation RDStation
Salesforce Marketing Cloud (Exact Target) Salesforce Marketing Cloud (Exact Target)
SenseData SenseData
Taboola Taboola
Twilio Twilio
WordPress WordPress

Advertising and Media

Apple App Store Apple App Store
Bing Bing
Criteo Criteo
Facebook Facebook
Facebook Ads Facebook Ads
Google Play Store Google Play Store
Instagram Ads Instagram Ads
Meta Ads Meta Ads
Microsoft Ads Microsoft Ads
Microsoft Advertising Microsoft Advertising
Pinterest Ads Pinterest Ads
TikTok Ads TikTok Ads
X Ads X Ads
YouTube YouTube

E-commerce and Marketplaces

Bling! Bling!
Hotmart Hotmart
Loja Integrada Loja Integrada
Mercado Libre Mercado Libre
Nuvemshop (Tiendanube) Nuvemshop (Tiendanube)
Olist Tiny Olist Tiny
Omie Omie
Pagar.me Pagar.me
Shopify Shopify
Tiny ERP Tiny ERP
Tray Tray
VNDA VNDA
VTEX VTEX
Wake Commerce Wake Commerce

Financial and Payments

ASAAS ASAAS
ContaAzul ContaAzul
Fatura Simples Fatura Simples
Granatum Granatum
Superlogica Superlogica
Sympla Sympla

Support and Customer Service

55pbx 55pbx
api4com api4com
Blip (take) Blip (take)
Clockify Clockify
EADBOX EADBOX
Freshdesk Freshdesk
Movidesk Movidesk
Recruiterbox Recruiterbox
Stilingue Stilingue
Wootric Wootric
Zendesk Zendesk
Zendesk Chat (Zopim) Zendesk Chat (Zopim)

Databases

AWS CloudWatch Metrics AWS CloudWatch Metrics
Azure Table Storage Azure Table Storage
BigQuery BigQuery
InfluxDB v1 InfluxDB v1
MongoDB MongoDB
MySQL (& MariaDB) MySQL (& MariaDB)
Oracle Oracle
PostgreSQL PostgreSQL
SQLServer SQLServer
Webhook Webhook

Productivity and Collaboration

ClickUp ClickUp
Google Sheets Google Sheets
Jira Jira
monday.com monday.com
Notion Notion
Pipefy Pipefy
Tangerino Tangerino
Toggl Toggl
Trello Trello

Social Media

Instagram Instagram
TikTok Organic TikTok Organic

User Analytics

Google Analytics GA4 Google Analytics GA4
Mixpanel Mixpanel
Zeeng Zeeng

Storage and Transfer

Amazon S3 Amazon S3
FTP FTP
Google Cloud Storage Google Cloud Storage
See all AI connectors →

Related on Kondado

Frequently asked questions about AI

How ready dashboards and chat via Claude / ChatGPT work together with your data via Kondado.

What business questions can Claude or ChatGPT answer about Hi Platform data in chat? ▼
They can analyze ticket resolution times, status distributions, and volume trends by processing your replicated Tickets data. Ask about average time-to-close, open ticket counts by priority, or resolution rate comparisons between periods. The AI calculates these metrics instantly using natural language without requiring manual data exports.
How do I configure Claude Web or Desktop to access my Hi Platform data? ▼
Open the connection settings in Claude Web or Desktop and add the Kondado MCP server. Authorize once via OAuth at app.kondado.com.br to grant the AI read access to your replicated Hi Platform Tickets data. No command line tools or JSON configuration is required for the setup.
How does authentication work when connecting ChatGPT to Hi Platform via Kondado? ▼
After adding the Kondado MCP server in ChatGPT's connection settings, the interface redirects you to app.kondado.com.br for OAuth authorization. This single sign-on process grants the AI read access to your data without storing your Hi Platform credentials on the chat platform.
Can the AI execute actions or write data back to Hi Platform? ▼
No, the AI provides read-only analytical chat capabilities. It can answer questions about your ticket data, calculate performance metrics, and identify trends, but cannot create new tickets, update statuses, modify priority levels, or perform any write operations in your Hi Platform account.
How frequently is the Hi Platform data updated for AI analysis? ▼
Data replicates on a configurable schedule that you control, ensuring your chat queries reflect recent ticket activity. This automated update process keeps your analysis current without requiring manual data refreshes or exports before asking questions.
Which dashboard templates are available for visual monitoring of Hi Platform data? ▼
Kondado offers ready report templates in Power BI and Looker Studio that visualize the same Tickets data you query via AI chat. These templates provide standardized visual monitoring for recurring KPI tracking while the AI handles ad-hoc exploratory questions.
What is the difference between asking the AI in chat and opening a ready dashboard? ▼
AI chat answers specific, spontaneous questions using natural language, such as why ticket volume spiked yesterday. Ready dashboards provide standardized visual reports designed for recurring monitoring of established metrics. Both tools use the same replicated Hi Platform data but serve different analytical workflows.

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