Cognify Works

Microsoft Foundry

Custom AI when an off-the-shelf product is not enough.

Cognify Works builds AI applications and agents grounded in business data, connected to real systems, and designed to operate in production. Microsoft Foundry is used when a tailored solution is the right path.

What this covers

Microsoft Foundry

Purpose-driven AI applications and agents on Microsoft Foundry.

  • AI applications tied to a real workflow and real data
  • Integrations with Microsoft 365 and line-of-business systems
  • Evaluation and governance before production use
Abstract illustration of custom AI applications grounded in business systems

The problem

What this work is for.

Some AI work needs a tailored application that an off-the-shelf Copilot experience cannot support.

Who it is for

The organizations this helps.

Organizations that have a defined AI application need after Copilot and Copilot Studio are not the fit.

How Cognify approaches it

Practical work around the environment you already have.

Microsoft Foundry is considered when custom AI around existing data and systems is the right path, not as a default platform choice.

Relevant Microsoft technologies

  • Microsoft Foundry
  • Azure
  • Data & AI

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.

AI applications and agents

Build purpose-driven AI applications and agents around real workflows.

Business data and integrations

Ground AI in the organization's own data and connect it to Microsoft 365, line-of-business systems, and APIs.

Evaluation, governance, and production

Test quality and safety, establish controls, and deploy solutions that can operate in the real world.

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.

Review of workflows, data, and where applied AI is useful or not

AI Opportunity Assessment

Identify where AI can support real work, and where it is not the right starting point.

Explore assessment

Insights

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.

  1. 01

    Assess

    We review the technology already in place, the work it supports, and the constraints that matter before recommending a path.

  2. 02

    Design

    Our team designs the approach around the current environment, the required controls, and the outcome the organization needs.

  3. 03

    Implement

    We configure, integrate, or build the solution, then put it into the environment in a way that can be operated.

  4. 04

    Operate

    Our managed services practice can support, secure, and run the environment after it is in place.

  5. 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
Talk to Cognify