Connect Azure AI to your
OKR strategy — automatically
Close the gap between AI-driven insights and strategic execution. Feed Azure AI outputs directly into OKR progress — no manual data collection, no disconnected reporting.
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Why integrate
What you can do with Azure AI + Profit.co
Auto-update Key Results from AI outputs
Azure AI model scores, prediction accuracy rates, and API call volumes feed directly into your OKR check-ins. Your team’s AI work becomes measurable strategy progress without any manual reporting.
Real-time KPI dashboards from Azure metrics
Pull live data from Azure AI services — model performance, throughput, latency, and error rates — into Profit.co KPI dashboards so leadership sees the AI programme’s health alongside strategic goals.
Map AI initiatives to the teams that own them
Link Azure AI workloads to specific teams and owners in Profit.co so every model deployment, accuracy improvement, or cost reduction is tied to a named person and a named goal.
Already running Azure AI workloads?
Connect your Azure environment to Profit.co in under 10 minutes — no developer required.
Data sync
What data syncs
Model Performance Metrics
Accuracy scores, prediction rates, F1 scores, and latency data from Azure Machine Learning and Azure AI Foundry — mapped to Increase KPI, Decrease KPI, and Percentage KPI key result types.
API Usage & Throughput
Token consumption, request volume, error rates, and throughput from Azure OpenAI and Cognitive Services — so you can track adoption and reliability of AI-powered features as OKR progress.
Cost & Resource Utilisation
Azure AI compute costs, resource utilisation rates, and deployment counts — enabling finance and operations teams to tie infrastructure spend directly to strategic efficiency goals.
Why combine Azure AI with OKRs?
Azure AI is built for running models — not for answering the question every executive needs answered: is our AI investment moving our strategy forward? When you connect Azure AI to Profit.co, your model metrics, API adoption rates, and infrastructure costs become live OKR check-ins, translating technical performance into strategic outcomes that boards and business leaders can act on — without asking your MLOps team to update two systems after every sprint.
Getting started
Set up in 3 steps
No developer required. You’re live in under 10 minutes.
1
Enable in Settings
Go to Settings → Integrations → Connectors and enable the Azure AI toggle. Only Super Users can enable integrations — check with your Profit.co admin if you don’t see this option.
2
Connect with your Azure credentials
Head to Preferences → Integrations and click “Connect to Azure AI.” Enter your Azure Subscription ID, Resource Group, and API key. Profit.co securely authenticates and reads your configured AI services.
3
Map a metric to a Key Result
When creating a Key Result, select “Automate Check-in” and choose Azure AI from the dropdown. Pick your service, metric type, and filter parameters — Profit.co pulls live data every time you check in.
Enterprise grade security
Keep your company’s data secure and compliant with industry-leading security standards and certifications.
Have questions?
We got answers.
Yes. The Azure AI integration is built directly into the Profit.co platform. You authenticate via your Azure Subscription ID and API credentials — no third-party middleware is required. Profit.co connects directly to Azure AI services including Azure Machine Learning, Azure OpenAI, and Azure Cognitive Services.
Yes. Once connected, select “Automate Check-in” on any Key Result and point it to an Azure AI service and metric. Profit.co will pull the latest data every time you trigger a check-in — or you can schedule automatic check-ins to run daily or weekly.
Profit.co reads model performance metrics (accuracy, F1, AUC), API usage data (request volume, token consumption, error rates), and resource utilisation metrics (cost, latency, throughput) from Azure AI services. These map to Increase KPI, Decrease KPI, and Percentage KPI key result types.
The Azure AI integration supports three key result types: Increase KPI (e.g. raise model accuracy from 85% to 95%), Decrease KPI (e.g. reduce inference latency from 500ms to 150ms), and Percentage KPI (e.g. track API adoption rate across teams). These cover the most common AI programme OKR scenarios.
The Azure AI integration is included in all Profit.co paid plans. You can explore it during your free 30-days trial — no credit card required to start. Your Azure consumption costs are governed by your Azure subscription separately.
No developer is required for setup. You’ll need your Azure Subscription ID, Resource Group name, and an API key from your Azure portal — all retrievable without code. You’ll also need Super User access in Profit.co. The full setup takes under 10 minutes.
Yes. The Azure AI integration is configured at the User Level, so individual team members — MLOps engineers, data scientists, product managers — can each connect their own Azure credentials to track the specific resources they own.
Yes. Profit.co is SOC 2 Type II certified and GDPR compliant. All data transferred between Azure and Profit.co is encrypted in transit and at rest. Profit.co reads metric data only — it does not write to or modify any Azure resources. Review the full security overview at profit.co/data-security.
Can’t find your answers?
Get in touch with us we are happy to assist you!
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Microsoft Teams
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Learn more →Make Azure AI data work
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