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PRAGMA EDGE / MICROSOFT AZURE

Azure Generative AI Consulting

Connect Azure-based AI initiatives to enterprise knowledge, application tools and evaluated business workflows.

THE NEXT CHAPTER / Azure Generative AI Consulting

Move from impressive answers to accountable enterprise work.

Enterprise AI is moving closer to applications, decisions and actions. That raises practical questions about data access, tool permissions, evaluation, cost and the point at which a person must review the result.

WHERE PRAGMA EDGE FITS

Connect the platform to the work.

Pragma Edge connects AI engineering with integration and operating controls. We define a bounded workflow, connect authorized enterprise context, evaluate representative tasks and establish the handoff when an agent or model cannot safely complete the work.

WHAT PROGRESS LOOKS LIKE

Build the next step around evidence.

The customer gains a clearer route from pilot to operation. Acceptance criteria cover the complete task, not just the model response, and the team can observe failures, review changes and retain ownership of consequential decisions.

SERVICE SCOPE

Azure Generative AI Consulting: what we help you deliver.

01

Frame the AI use case

Define the task, approved information sources and conditions requiring human review.

02

Connect enterprise knowledge

Design retrieval and application interfaces with the required identity and data boundaries.

03

Evaluate and operate

Test answer or task quality with representative examples, then define monitoring and ownership.

PRAGMA EDGE / EXPERTISE IN ACTION

Azure Generative AI Consulting: connect specialist delivery to business value.

Where our specialists go deeper

Choose the appropriate roles for Logic Apps, API Management, Service Bus and event services. Design identity, error handling and hybrid connectivity around business transactions and operational ownership.

ENGAGEMENT FOCUS

For Azure Generative AI Consulting, focus the engagement on frame the ai use case, connect enterprise knowledge, evaluate and operate. Agree acceptance evidence for each workstream with its business and technical owners.

Define success before delivery.

Baseline the measures relevant to your engagement, then compare results through implementation and operation.

Integration lead time
failed runs
queue age
support effort
consumption cost
ILLUSTRATIVE ENGAGEMENT

Apply the service to a real requirement.

An internal assistant retrieves approved enterprise information and routes uncertain responses to a knowledgeable reviewer.

DEFINE THE ENGAGEMENT

Agree the scope and evidence.

Use your current environment, a representative workflow and its exceptions to define the work. Confirm the supported versions, integration boundaries, acceptance criteria and delivery responsibilities before implementation.

Discuss your environment →
CONNECTED EXPERTISE

Connect the service to the wider platform.

Explore the related technology and its role in your business process.

Microsoft Azure↗Technologies We Support↗
PRAGMA EDGE / LET’S CONNECT

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