AI Agents That Run Parts of Your Business, Not Just Chat
Custom multi-agent systems built on the same infrastructure powering Platform21's own delivery pipeline: schema-driven contracts, approval gates, and agents that can act, not just answer.
Talk Through Your Use CaseThe Problem
Most "AI agent" offers are a chatbot with a new name: no memory, no real access to your systems, and no way to stop it doing something wrong.
You are left doing the same manual work, just with an extra tab open.
Our Solution
Agents that connect to your actual data and take real actions, built with the guardrails that make that safe to leave running.
Every agent operates inside a schema-driven contract, with human approval built in at the points that matter.
What is Included
Multi-Agent Pipelines
Coordinated agents handling discovery, research, content and execution: the same architecture running Platform21 client work today.
MCP Server Integrations
A secure interface (OAuth 2.1) that lets an AI agent query and manage your business data directly, from your own tools or ours.
Approval Gates
Autonomous steps run unattended. The decisions that matter are held for a human sign-off before anything changes.
Schema-Driven Contracts
Every agent output is validated against a schema before the next step can use it, so a bad response cannot cascade.
State Machines & Resumability
A pipeline that tracks exactly where it is, so a failed step retries cleanly instead of restarting from scratch.
Reporting & Audit Trail
Every action an agent takes is logged, so you can see what happened and why, not just the final output.
Built On What We Actually Run
Not a pitch deck. This is the infrastructure already running our own business.
Platform21’s delivery pipeline
150+ projects have moved through a multi-agent pipeline that handles discovery, content, deployment and reporting, with a human sign-off at the proposal and the go-live.
RouteBoard’s MCP server
A remote MCP server that lets Claude query and manage a live business directly: jobs, quotes and customers, through the same API the business’s own apps use.
Frequently Asked Questions
No. A chatbot answers questions. An agent built this way can take real actions in your systems, within limits you set, and stops for your approval at the points that matter.
Exactly what you grant it, and nothing more. Access is scoped through the same kind of permissioned interface (MCP) we use on our own systems, so an agent can read or act on specific data without a standing door left open to everything.
Three things: a schema that rejects any output that does not match what the next step expects, a state machine that will not let a step get skipped, and an approval gate at any point you want a human to see the decision before it happens.
No. We can integrate with your existing systems and data. It helps if they have an API or one can be added, which is something we can also build.
It depends entirely on what you want the agent to do and what it needs to connect to. We scope every project individually after a discovery call, the same as any other engagement.
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