Copilot Studio or Microsoft Foundry? An Executive Guide to Choosing the Right AI Platform.
Copilot Studio or Microsoft Foundry? Choosing the right AI platform for cost, control and business value.
Microsoft offers more than one path to enterprise AI, but which approach is right for your organisation? Join Dean Corcoran, Chief Technology Officer for Partners at Microsoft, and Sulabh Jain, Chief Technology Officer at Antares, for a focused executive briefing on when to use Copilot Studio, when Microsoft Foundry is the better fit, and when the right answer is both.
The decision is bigger than technology.
Copilot Studio can accelerate low-code agent delivery within the Microsoft ecosystem. Microsoft Foundry offers greater flexibility and architectural control for tailored, integrated or regulated AI applications.
The right choice depends on more than features or licence prices. Leaders must consider total cost, time to value, security, integration, delivery ownership and the ability to scale beyond the first use case.
What leaders must consider
- Total cost
- Time to value
- Security
- Integration
- Delivery ownership
- The ability to scale beyond the first use case
What you'll learn.
In this executive session, we will address:
Platform fit
Which business scenarios suit each platform.
Speed and flexibility
Low-code speed versus engineering flexibility.
Total cost
Licensing, consumption and total cost of ownership.
Security and governance
Security, governance and compliance considerations.
Skills and operating model
The skills and operating model required.
A combined approach
When a combined Copilot Studio and Foundry approach makes sense.
Decision framework
A practical framework for making the decision.
Cost: compare the complete investment.
A lower licence or Azure consumption figure does not always mean a lower total cost.
Copilot Studio
May reduce development effort by providing a managed platform, Microsoft 365 integration and established connectors.
Microsoft Foundry
May have lower runtime costs in some scenarios but requires investment in application development, integration, hosting, monitoring and ongoing engineering.
What organisations are facing.
Across industries, organisations are encountering the same set of problems.
The challenge is no longer simply building an agent. It is creating a governed, reusable capability that makes every future use case faster, safer and more cost-effective.
- Disconnected agents being developed by different teams
- Duplicated data and integration work
- Unclear production ownership
- Unexpected support and consumption costs
- Inconsistent security and governance
- Pilots that cannot scale into production
- Difficulty demonstrating measurable business value
Meet the speakers.
Dean Corcoran
Technology Strategy, Chief Technology Officer for Partners, MicrosoftSulabh Jain
Chief Technology Officer, AntaresWho should attend?
Executive leadership
CEOs, CFOs, CIOs and CTOs.
Digital and data
Heads of Digital, Data, AI and Innovation.
Technology and change
Technology and transformation leaders.
Governance and value
Executives responsible for AI investment, governance or business cases.
Make a defendable AI platform decision.
Leave with a clear framework for selecting the right Microsoft AI approach based on business value, total cost, risk, ownership and scale.