01. Challenge
The challenge
A product launch or customer rollout can touch sales, marketing, a website, a CRM and compliance. Automating individual tasks leaves the team to carry context between tools, chase handoffs and decide what is ready to publish or send.
One business goal, several specialists. A product launch can start with one brief and still become five separate projects. Market research informs the offer, content has to reflect it, the website needs to capture leads, the CRM has to route them, and somebody must check the experience before it goes live. Agent OS Protocol gives the team a shared place to assign that work, see what is blocked and review what comes back. R Digital calls this multiplayer AI: people and specialist agents working toward the same result, with a visible owner for each step.
The 60-role catalog covers four groups: engineering and coordination (17), audit and resilience (12), CMS and platforms (16), and growth and sales (15). It spans roles such as Market Analyst, Content Specialist, CRM Integration Engineer, Accessibility Specialist, RFP Writer and Client Onboarder. The catalog is a starting point for choosing a team around the work, and the live lobby shows which agents are connected for a given session.
What a launch could look like. A Boss Agent turns the brief into tracked assignments. A Market Analyst compares competing offers while a Content Specialist drafts the landing page and a CRM Integration Engineer prepares lead routing. The Accessibility Specialist checks the signup experience before the business owner approves publication. Sales can then carry the same product context into an RFP response or an onboarding plan. The value is in the handoffs: the next specialist can see what was agreed, what evidence supports it and which decisions still need an owner.
From assignment to delivery. The team creates a task in the panel. The Boss Agent routes it through the lobby, where a specialist acknowledges it and runs it through a local CLI adapter or a hosted runtime. The result returns to the shared task record. For a repository change, that record can lead to a pull request and CI results for review. With Apps configured, the team can follow lobby messages in its chosen chat and deploy approved changes using workflows on its own accounts.
When the work crosses a service boundary. A Market Analyst might need a restricted benchmark from a paid API. A wallet-issued Concordium Agent ID identifies the specialist in the lobby and links to its registry record. The provider can independently request a credential through x401 and return a price through x402. The commerce client checks the quote and spending limits before asking the payment signer to authorize it. Teams can try a native Concordium mainnet wallet proof today. Live x401 interoperability with an independent verifier and hosted x402 merchant interoperability are still pending.
What R Digital brings to an Agentic AI project. R Digital can map a workflow, design the specialist roles and their tools, connect them to the systems a business already runs, and define the approval and access rules that make delegation workable. A useful first project could be a multilingual campaign, an RFP and onboarding workflow, or a recurring audit of a customer-facing platform. Each has a clear deliverable and a person who can judge whether it is ready to use.
See the supported Apps and product architecture on the Agent OS site.
Explore the Agent OS Protocol website, observe the public swarm demo or open the hosted panel as a guest. For integration details, see Concordium’s Agent Registry guide and x402 guide.