Behind the Roadmap: Exploring What’s Next with MCP and Dayforce APIs

The Behind the Roadmap – Dayforce Spotlight Series returns with Episode 4, spotlighting one of the most exciting and fast-moving topics to emerge from Dayforce Discover: The Model Context Protocol (MCP) — and how it’s shaping the future of Dayforce APIs and intelligent automation.

Hosted by Brad Wyland, this episode features Richard Sheng and Nikko Ambroselli, two of Dayforce’s leading voices in AI architecture. Together, they unpack how Dayforce is adopting this new protocol and what it could mean for developers and partners looking to build the next generation of connected, intelligent workflows.

Meet the Innovators Behind the Conversation

Before diving into the technical discussion, Brad gets to know his guests — and their personalities shine through.

• Richard Sheng, a lifelong board game enthusiast, shares how “shared ambition” drives his approach to product innovation and platform extensibility.
• Nikko Ambroselli, who brings both technical expertise and civic leadership experience, emphasizes “agility” as the key to adopting new technology responsibly and effectively.

Their mix of creativity, precision, and collaboration sets the tone for a forward-looking session filled with insights — and a few surprises.

A Glimpse into the Model Context Protocol

MCP is quickly becoming the industry standard for how AI models communicate with external tools — and Dayforce is part of that movement. Richard and Nikko discuss how the protocol simplifies what used to be complex integrations, and why it could transform how developers build intelligent agents and automate workflows across systems.

Rather than spoiling the full story here, we’ll just say this: the Dayforce team is building something that bridges AI innovation with developer empowerment — and it’s going to open new doors for how partners extend the platform.

👉 You’ll have to watch the recording to hear how it all connects.

Continue Exploring

Want to dig deeper into what Richard and Nikko discussed? Check out some of the helpful links and resources mentioned in the session:

Servers

MCP servers expose three main types of features:

• Resources: Context and data for agents or users
• Prompts: Templated messages and workflows
• Tools: Functions for AI models to execute
  🔗 https://modelcontextprotocol.io/examples

Clients

Clients can be anything from coding agents (VS Code, Claude Desktop) to workflow builders (n8n, LangGraph) and chatbots (Copilot Studio).
🔗 https://modelcontextprotocol.io/clients