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Solutions · 04

Microsoft AI Solutions

Apply Microsoft Copilot, Copilot Studio, Azure AI Foundry, Microsoft 365, SharePoint, and Power Platform to real work across the enterprise.

What problem does this solve?

Organizations often own a broad Microsoft environment but use only a fraction of its AI and automation potential. Tools may be enabled without a clear use case, data may be difficult to access, and pilots may not connect to governed business processes.

Who is it for?

Microsoft platform owners and enterprise architects.

CIO, CTO, digital workplace, collaboration, and automation leaders.

Business teams evaluating Microsoft 365 Copilot and custom copilots.

Application owners using SharePoint, Teams, Dynamics 365, Business Central, or Power Platform.

Risk and security teams responsible for identity, data access, and governance.

How Ignatiuz delivers it

1

Assess the Microsoft tenant, licensing, data sources, identity model, and priority workflows.

2

Select the right pattern, from personal productivity to custom agent and enterprise application integration.

3

Design knowledge, actions, connectors, security, and human review.

4

Build and validate a focused solution using Microsoft-native services where appropriate.

5

Prepare users, support adoption, measure outcomes, and operate the solution after launch.

Common use cases

Microsoft 365 Copilot readiness, rollout, adoption, and extension.

Custom agents and copilots built in Copilot Studio.

Model, agent, search, and evaluation solutions in Azure AI Foundry.

SharePoint knowledge and document experiences enhanced with AI.

Power Platform applications, workflow automation, and analytics.

AI connected to Dynamics 365, Business Central, and enterprise data.

Platforms involved

Microsoft 365, Teams, SharePoint, OneDrive, Copilot, Copilot Studio, Azure AI Foundry, Azure services, Power Apps, Power Automate, Power BI, Dynamics 365, Business Central, and Microsoft Entra ID.

Salesforce, ERP, CRM, databases, APIs, and external systems where the workflow extends beyond Microsoft.

OpenAI or Claude only where the client architecture and use case require model flexibility.

Security & Governance

Human in the Lead

Microsoft identity, permissions, tenant controls, data boundaries, logging, environment strategy, connector governance, and human review are addressed as part of the solution design. Licensing and compliance claims must be confirmed against the client environment.

Frequently Asked Questions.

Do we need every Microsoft AI product?
No. The architecture should use the smallest set of services that solves the business problem and fits the client operating model.
Yes. Extensions may include approved knowledge, actions, custom agents, connectors, and workflow integration, subject to the client tenant and licensing model.
Yes. The connection may use standard connectors, APIs, integration services, files, databases, or a custom integration pattern.

Ready to talk about Microsoft AI Solutions?

A readiness workshop is the fastest way to find out if this is the right starting point.

Book an AI Readiness Workshop
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