Bring your own agent. We make it accountable, and put it to work.
The AI agent you run, whether it is Claude Code, an open-source tool like Hermes or OpenClaw, or something you built, is becoming a commodity. What it plugs into is not. Inform Growth is the governance layer your agent runs through, with intent declared, actions logged, and systems protected, plus the crew that puts it to work. We run on your tools, in your business.
The runtime is a commodity. The layer above it is not.
An agent runtime is the tool that runs the AI loop: it points at a model, runs on your infrastructure, and takes actions for you. Claude Code is one. So are open-source options like Hermes and OpenClaw that you host yourself. They are good, they are getting better, and they are all converging on the same shape. The tool is not where the advantage lives.
Here is the part worth understanding. These tools all talk to your business systems through the same open standard, called MCP. Think of it as the common plug for AI: one shared connector, so any agent can reach any system that supports it. Our governance layer is built on that same standard, which means it drops into whatever agent you already run. Same layer, any tool.
Three layers. We build the two that matter.
It helps to see an AI setup as three layers. The tool vendors give away the first. The two that decide whether you can trust it and scale it are the two we build and run.
| Layer | What it is | Who owns it |
|---|---|---|
| The runtime the agent tool | The tool that runs the AI loop and takes actions. Claude Code, an open-source tool like Hermes or OpenClaw, or something you built. | Your choice. |
| The governance layer what we add | Sits between the agent and your systems. The agent declares what it is doing before it acts, every action is logged, each business is walled off, and high-impact calls route to a person. | Inform Growth. |
| The deployed crew what we run | A standing set of role-based agents that do the work on a schedule, with a real person on the account and a daily debrief on what got done. | Inform Growth. |
An agent out of the box can act. Trusting it is a different problem.
Install any agent on your own and you get something that can call your CRM. Here is what it does not come with, and what we build in its place.
A record of why it acted
Every action ties to a declared goal and closes with an outcome. You get intent and result, not just a log of activity.
A refusal to act on a vague ask
The layer forces a request to get specific before work starts. You govern the input instead of cleaning up the output.
Isolation between businesses
Each business runs in its own space with its own credentials. Nothing crosses over. We call this entity isolation, and it is what makes multi-business AI safe.
A crew that keeps running
A set of agents that reliably does the repeat work on a schedule, with a person on the account. Not a clever demo that breaks next week.
Deployment is a product, not a custom project.
Because everything is built on the same open standard, putting it to work is repeatable. We point your agent at our governance layer, install the crew, and hand you the debrief. That is the piece the tool vendors structurally leave open, and it is the piece we run.
We do not compete with the agent you run. We are the layer it is missing.
Common questions
What is an agent runtime?
It is the tool that runs the AI loop: it connects to a model, runs on your infrastructure, and takes actions on your behalf. Claude Code is one example. Hermes and OpenClaw are open-source ones you can host yourself. The runtime is where the agent runs, not where it is governed.
What is MCP, and why does it matter here?
MCP is an open standard for connecting AI agents to tools and systems. Think of it as a common plug. Because every modern agent and our governance layer both speak it, you can swap the agent and keep everything else. That is why you are not locked into one vendor.
Do I have to switch agents to work with you?
No. You keep the agent you already run. Our layer connects to it through MCP, so nothing gets ripped out. Same layer, whatever tool you chose.
Where does it run?
On your infrastructure, on the tools you already chose. We deploy the governance layer and the crew into your own environment, and you keep what stays behind if we ever part ways.
Bring your agent. Let us make it accountable.
Book thirty minutes and we will map where a governance layer and a deployed crew would take the most work off your plate, on the agent you already run.