Data foundations
Understand sources, ownership, and quality before building on top of them.
Data & AI
Make data usable before treating AI as the project.
Our Data & AI work helps organizations understand the data their Microsoft and line-of-business systems already hold, then use it for reporting, automation, or AI when the data is ready enough to support the work.
What this covers
Data & AI
Data foundations, integrations, and AI grounded in existing systems.
- A clearer view of the data already available in Microsoft and adjacent systems
- Integrations that make that data usable
- AI and automation only where the data can support it
The problem
What this work is for.
AI and analytics only hold if the data, permissions, and systems underneath are usable.
Who it is for
The organizations this helps.
Organizations that want applied AI or better data use around the Microsoft environment they already have.
How Cognify approaches it
Practical work around the environment you already have.
We start with data foundations and the work people do. A model is not the first recommendation.
Relevant Microsoft technologies
- Azure
- Power BI
- Data integrations
- Microsoft Foundry
What engagement might look like
Start with the current environment.
Most work starts with a focused assessment or a discovery conversation. Scope, operating model, and commercial terms are defined for the engagement, not as a published package.
Capabilities
Capabilities involved.
Integrations
Connect Microsoft 365, Azure, and line-of-business systems so the work can use the data.
Applied AI
Use Copilot, Foundry, or custom software only when the data and process are ready.
Assessments
Start with a focused assessment.
These reviews are entry points. They help our team understand the current environment before recommending managed IT, Microsoft, automation, or custom software work.
AI Opportunity Assessment
Identify where AI can support real work, and where it is not the right starting point.
Explore assessment
Azure Architecture & Cost Review
A structured review of Azure architecture, hosting choices, and cost visibility for the workloads already running.
Explore assessmentInsights
Related reading from our technology practice.
Articles will appear here when they are published. Until then, these topics stay available as Insights categories.
Delivery approach
Assess. Design. Implement. Operate. Improve.
Our delivery approach is the same whether the work is managed IT, Microsoft, cloud, security, automation, software, or AI: assess what exists, design the right approach, implement it, operate it, and improve it over time.
01
Assess
We review the technology already in place, the work it supports, and the constraints that matter before recommending a path.
02
Design
Our team designs the approach around the current environment, the required controls, and the outcome the organization needs.
03
Implement
We configure, integrate, or build the solution, then put it into the environment in a way that can be operated.
04
Operate
Our managed services practice can support, secure, and run the environment after it is in place.
05
Improve
We continue to refine the environment as needs change, using what we learn from day-to-day operations.
Questions
Common questions
Get started
Start with the technology problem in front of you.
Tell us what you have today and where the friction is. Our team will help determine the most practical next step.
Book a discovery call