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AI

Agentic software delivery governance

Useful for

Common knowledgeAgentic deliveryGovernance

Introduction

Agents used by the delivery team need a different governance model from AI models embedded in the product. Delivery agents may not sit in the customer-facing service, but they can still read code, write code, inspect logs, summarise documents, generate infrastructure changes or draft customer-facing material.

Knowledge scope

This is common CTO knowledge. It applies beyond the startup journey, but the public playbook places it where it usually becomes important for an early-stage company.

Why it matters

Agentic delivery can speed up software work, but it also changes where mistakes can enter the system. The company still needs human ownership, source control, review barriers, decision records and clear rules about secrets, data and customer material.

How it fits the playbook

This reference supports the Company Ready -> POC Started stage of the startup CTO playbook. It gives the public context for the decision without exposing the deeper assessment method behind the agentic operating model.

Design considerations

  • Define where agents are allowed to operate and where human approval is required.
  • Keep agent-generated changes traceable through repositories, pull requests and decision records.
  • Treat access to logs, secrets, customer data and infrastructure as privileged capability.
  • Keep pragmatic approval paths for small teams, but make self-approval visible and reviewable.
  • Review the governance stance again when agents move from advisory work into delivery actions.

What good looks like

The delivery workflow is faster because agents help with drafting, analysis and implementation, but important changes still have named ownership, source history and reviewable decisions.

How Brokenhouse helps

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Next guidance

Related decisions to work through

Ops

Is the company ready?

The first few months of a software business are not just about building the product. They are about creating the conditions that allow the product to be built, deployed, governed and supported without the company tripping over its own foundations.

Ops

Can we start the POC?

Before starting the POC, there is a small amount of governance that should be put in place. This is not about slowing the team down or pretending to be an enterprise. It is about creating enough shape that the first few months do not become a mess of forgotten passwords, inconsistent names, unclear decisions and accidental access.

Data

Are we ready for a Pilot?

Before moving from POC to Pilot, the company needs a data governance baseline. This is separate from technical governance. Technical governance asks who can deploy, who can access Azure and how the environment is built. Data governance asks what information the company collects, where it is stored, why it is allowed to hold it and how it protects it.