Microsoft Foundry Services
Microsoft Foundry Consulting for Custom AI Agents
Velosio builds governed AI agents on Microsoft Foundry and connects them to Dynamics 365, Microsoft 365, and Azure, so AI works inside the systems your business already runs on instead of beside them.
| Assess Your AI Readiness |
Your AI pilot worked. Production is where the hard part begins.
A demo runs on clean data, one happy path, and one friendly user. Production brings messy records, permissions, edge cases, and people asking things nobody planned for. The model is rarely what breaks. Everything around it does.
The failure we see most is inconsistency: the same input gets a different answer on a different day, and users stop trusting the agent fast. In multi-step workflows, small drift at each step compounds. Velosio closes that gap by defining what “correct” looks like, testing against real data, and designing the agent around the systems and controls it has to run inside.
| 1 | Inconsistent answers Same input, different output. Trust erodes after a few bad runs. |
|
| 2 | Drift across steps Each step in a multi-step workflow adds variation, and the variation multiplies. |
|
| 3 | Real data, real users Messy records, edge cases, and permissions a demo never touched. |
|
| 4 | Deployment and access Tenant setup, admin approvals, and security roles are what usually delay go-live, not the agent itself. |
73%
have AI agents in production or pilots.
57%
say their governance doesn’t fully address AI that acts on its own
44%
wait seven months or more to get AI pilots into production
Source: Velosio AI Readiness Research, 2026. Independent study by Cascade Insights. n=175 U.S. AI and technology decision-makers at $100M–$999M organizations.
Choosing your platform
Copilot Studio or Microsoft Foundry?
| Consideration |
Low-code Copilot Studio |
Pro-code Microsoft Foundry |
|---|---|---|
| Best suited for | Quickly creating managed agents for employees and business processes | Building custom agents and AI applications for complex, differentiated business needs |
| How you build | Low-code tools, managed connectors, agent flows, and configurable knowledge sources | Custom code, APIs, frameworks, models, tools, and Azure services |
| Experience and channels | Ideal for Microsoft 365, Teams, SharePoint, websites, and supported business applications | Ideal for custom applications, digital products, portals, APIs, and embedded AI experiences |
| Customization | Strong managed capabilities with supported extension points | Greater control over agent behavior, orchestration, models, runtime, and user experience |
| Integration | Managed connections to Microsoft and business applications, APIs, flows, and MCP servers | Custom integration with enterprise applications, APIs, MCP tools, events, and Azure services |
| Testing and operations | Built-in testing, evaluation, monitoring, governance, and managed deployment | Engineering-led evaluation, observability, release automation, security, and workload-specific operations |
| Choose it when | Speed, low-code development, and business-team participation matter most | The agent is strategic, application-embedded, highly customized, or requires deeper engineering control |
The answer may be both.
Copilot Studio can provide a managed employee or business-user experience,
while Foundry supports specialized AI services, custom orchestration, or
application logic behind it. Velosio helps you select the simplest
architecture that meets your business, integration, security, and
operational requirements.
AI is only as good as the data and processes underneath it.
An AI-only firm can build a good agent. What it usually lacks is deep knowledge of the system the agent has to work inside. Few partners bring all three of the things production agents need.
Microsoft business applications
We know the data model, the business processes, and how Business Central, Dynamics 365 CE, and Finance & Operations actually get used day to day. That’s our core business.
Applied AI across the Microsoft stack
We build on Foundry and Copilot Studio and choose models, orchestration, and testing approaches based on the workload.
Data protection inside Microsoft
We design agents to keep client data within the Microsoft ecosystem, with identity, permissions, and audit built in from day one.
We run these agents on ourselves
Velosio uses its own agents for timesheets, functional design document authoring, implementation requirements, and integration advisory. We’ve dealt with production problems firsthand, not just in client demos.
One team after go-live
The same team supports both the ERP and the agent, so nobody points fingers when something breaks. We own the outcome end to end.
We know the system your business runs on, and we’ll own the outcome end to end.
Niloy Chakraborty | Senior AI Solutions Architect
AI agents that work where your business runs
Implementation requirements agent
Applies a consistent evaluation framework to every requirement, producing structured recommendations that can be validated, reviewed, and audited.
Document review agent
Reviews functional design documents against defined standards. The AI does the analysis, and code makes the pass/fail call using fixed thresholds.
 AP/AR exception agent
Reviews Business Central data, flags invoice and payment exceptions, gathers supporting context, and routes the next step to the right person.
Order-to-cash agent
Checks orders, invoices, credit holds, and shipment status across Dynamics 365 or Business Central, then recommends the next action.
Supply planning agent
Reviews inventory, open orders, forecasts, and vendor data, then surfaces shortages and risks for a planner to approve.
Integration advisory agent
Helps teams assess integration options and patterns across Microsoft business systems before build starts.
A practical path from agent idea to production
Discover
Identify the business process, users, data sources, risks, and success measures, so the first agent is tied to work that matters.
Define “correct”
Agree on what a right answer looks like and build a test set from real data before adding features. If you can’t measure it, you can’t ship it.
Design
Map the workflow, model strategy, data connections, permissions, human review points, and where deterministic code makes the decisions.
Build and evaluate
Develop the agent and test it continuously against the agreed measures, so results stay consistent across users, scenarios, and releases.
Deploy
Plan tenant setup, admin approvals, and security roles early, then publish to Teams, Microsoft 365 Copilot, or your application
Operate and improve
Monitor quality, consistency, usage, and risk signals so the agent keeps performing as systems and priorities change.
| Built for repeatable business outcomes. | Production agents need more than a good answer once. They need to perform reliably across users, scenarios, and releases.
Velosio designs agents with defined instructions, grounded business data, structured outputs, automated evaluation, and deterministic controls. AI handles interpretation and reasoning. Code enforces the decisions that must remain consistent, auditable, and secure, |
Agents you can see, measure, and control
Governance isn’t a final checklist. It shapes the agent from day one. Velosio defines who the agent serves, which data it can reach, which actions need approval, how outputs are evaluated, and how performance is monitored after launch. Microsoft Foundry provides controls for identity, permissions, network isolation, tracing, and evaluation. The business rules still have to be designed around your environment.
| ✓ | AI interprets, rules and people decide AI handles interpretation and reasoning. Defined business rules and human approvals govern calculations, validations, and approvals, so outcomes stay consistent and auditable. |
|
| ✓ | Access defined before build Role-based access, approved data sources, and human review points are documented before development starts. |
|
| ✓ | Monitored after launch Quality, consistency, exception patterns, and usage are tracked so governance stays active. |
Model choice
Use the model that fits the workSome agent tasks need deep reasoning. Others need speed, cost control, or strong document handling. On Foundry, Velosio chooses, pins, and tunes models per workload and designs for flexibility as model performance, cost, and availability change. |
Your Microsoft foundation
Built on the systems your teams already useFoundry works best when it connects to the operating foundation underneath the business. We connect agents to Dynamics 365, Business Central, Microsoft 365, Azure, Fabric, and Power Platform, so they support decisions and actions inside real workflows. |
| Microsoft Copilot | D365 Business Central | Copilot Studio | Microsoft Fabric | Apps, Agents & Automation |
Your AI strategy is only as strong as the foundation beneath it.
Start with a focused conversation about the process, data, users, and controls that matter most. We’ll help confirm whether Microsoft Foundry, Copilot Studio, or both gives you the clearest path to a working agent.
Frequently Asked Questions
What do we need to get started?
Can Microsoft Foundry agents work with Business Central?
Why do AI agents break between demo and production?
Which AI models can we use in Microsoft Foundry?
How do you govern and secure AI agents in production?
CASE STUDIES
Explore our success stories
Our Clients
Microsoft Inner Circle recognition – Velosio has earned Microsoft Inner Circle recognition for 31 consecutive years.
#1 in Business Central Implementations Worldwide – Velosio is recognized as the leader in Microsoft Dynamics 365 Business Central implementations worldwide.
Top 1% of Global Microsoft Partners | 30 Years Inner Circle
As a Top 1% Microsoft partner and 30-year Inner Circle member, we bring deep expertise across business applications, cloud, data, and AI.
Tell us where you’re headed. We’ll help you get there faster
 |
Give us a call: 888.725.2555Â |
 |
Message Us: info@velosio.com |
 |
Corporate Headquarters: 300 Galleria Pkwy SE, Suite 615 Atlanta, GA 30339 |