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ClosedLoop AI Azure logo Azure

Enterprise-grade product intelligence pipeline

For organizations running on Microsoft Azure, customer intelligence should flow through the same enterprise infrastructure. ClosedLoop AI integrates with Azure services to deliver product insights through your existing cloud platform -- governed, scalable, and connected to the Microsoft ecosystem your organization already trusts.

Read-only to start. Recent history backfilled on day one.

The integration Azure Product & Development Tools
DirectionAzure → ClosedLoop AI
AccessRead-only
Backfill12 months, day one
SyncContinuous
StatusComing soon

What you get

What Azure can tell your product team.

ClosedLoop AI reads your Azure data and turns it into product insight you can act on. No one has to review it, and nothing gets lost.

01

Enterprise Data Pipeline Integration

ClosedLoop AI delivers customer intelligence through Azure services -- Azure Functions for event processing, Azure SQL or Cosmos DB for storage, Azure Event Hubs for streaming. Product insights flow through the same governed infrastructure as your other enterprise data.

02

Microsoft Ecosystem Connectivity

Customer intelligence delivered to Azure connects naturally to Power BI dashboards, Teams notifications, Dynamics CRM records, and Azure DevOps work items. ClosedLoop AI feeds the Microsoft ecosystem your organization already operates in.

03

Compliance-Ready Intelligence

Azure's compliance certifications, data residency controls, and access management apply to customer intelligence delivered through the platform. Product feedback data meets the same governance standards as every other enterprise dataset in your Azure environment.

04

AI-Enhanced Analysis

Customer intelligence delivered to Azure can be further analyzed using Azure AI services. Combine ClosedLoop AI insights with Azure OpenAI, Cognitive Services, or custom ML models for deeper analysis specific to your industry and use cases.

Who you'll hear from

The voices on Azure.

The customer profiles that show up on this channel, and the intelligence each one reveals.

Profile

Enterprise Architects

Cloud architects and platform engineers integrate customer intelligence into existing Azure infrastructure. Product insights flow through the same data pipelines, governance frameworks, and monitoring tools as other enterprise workloads.

Profile

Product Leadership

Product VPs and directors see customer intelligence surfaced through Azure-connected tools they already use -- Power BI reports, Teams channels, and DevOps boards. No new tools to adopt or manage.

Profile

Data and Analytics Teams

BI and data engineers incorporate customer intelligence into existing Azure data warehouses and analytics pipelines, enriching business reporting with product feedback data alongside revenue and operational metrics.

Profile

IT and Security Leadership

CISOs and IT directors reviewing data governance see customer intelligence managed within Azure's compliance framework. Product feedback data inherits the same security, audit, and access controls as other sensitive enterprise data.

How the data flows

What Azure holds becomes what your roadmap reads.

ClosedLoop AI reads from Azure and turns each part into something your product team can act on.

Conversations, records, and messages Product insights in the customer's own words
Who said it, and their role The customer and the role behind each insight
Account and deal context The revenue weight behind every request
When it happened How a theme moves over time
What came up Competitor mentions and churn risk, caught early

Read-only to start. No tagging, no manual review.

What changes

What changes when you connect Azure.

01

Automate delivery of customer intelligence through Azure infrastructure your organization already governs

02

Connect product feedback to the Microsoft ecosystem -- Power BI, Teams, Dynamics, and DevOps

03

Customer intelligence meets enterprise compliance requirements by flowing through governed Azure services

04

Enrich existing analytics and data warehouses with structured product feedback data

05

Leverage Azure AI services for deeper analysis of customer intelligence patterns

06

Eliminate the need for a separate tool stack by routing product insights through your existing cloud platform

Setup

Connected in minutes, useful on day one.

Connect Azure

Authorize in one click. Read-only to start, nothing to install.

Backfill

ClosedLoop AI reads your recent history straight away, so you start with insights, not an empty screen.

Insights land

Requests, competitor mentions, and risks arrive grouped and ranked. No tags to maintain.

Act anywhere

Read them in the dashboard, get them in Slack, or query them from your AI assistant over the MCP.

Read what your customers already told you on Azure.

Connect in minutes and start surfacing product insights from your Azure data.

Read-only to start.